8. Regression Models in PySpark.ipynb

{"cells":[{"cell_type":"markdown","source":["## Regression Models in PySpark\n##### Agenda\n<hr>\n* Pre-requisite of Data for Machine Learning\n* Linear Model for Regression\n* Evaluating Regression Models\n* Genralized Linear Regression\n* Survival Regression \n* Isotonic Regression\n* Tree Based Regression\n* Ensemble Methods for Regression\n\n<hr>"],"metadata":{}},{"cell_type":"markdown","source":["### Pre-requisite of Data for Machine Learning\n<hr>\n* Feature data should have been vectorized, VectorAssembler should have come handy."],"metadata":{}},{"cell_type":"markdown","source":["### Linear Model for Regression\n<hr>\n* Feature consist of p independent variables (p-dim)\n* Target/dependent variable is represented by y\n* Relation between feature & target is represented by the following equation\n* w's represent weights or coef's for each feature, w0 is intercept\n* The best line/hyper-plane is the one with minimal loss\n* Objective is to minimize loss\n* Loss can be represented as \"root mean squared error\", \"l2 loss\", \"l1 loss\" or combined\n\n<img src=\"http://abhijitbangera.com/wp-content/uploads/2017/04/multi-regression-equation.png\" width=\"600px\">"],"metadata":{}},{"cell_type":"code","source":["from sklearn.datasets import make_regression\nimport matplotlib.pyplot as plt\nimport pandas as pd"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":4},{"cell_type":"code","source":["X,y = make_regression(n_features=1,n_samples=1000, noise=10)\nX = X +10\ny = y +10"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":5},{"cell_type":"code","source":["df = pd.DataFrame({'X':X.ravel(),'y':y.ravel()})\ndata = spark.createDataFrame(df)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":6},{"cell_type":"code","source":["display(data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>X</th><th>y</th></tr></thead><tbody><tr><td>10.773741712731471</td><td>39.160258765168535</td></tr><tr><td>8.887802309767446</td><td>-25.722562465631533</td></tr><tr><td>11.17207909628788</td><td>46.495439190734345</td></tr><tr><td>10.435254455634361</td><td>34.20142827659538</td></tr><tr><td>10.117147054677854</td><td>19.091311451638887</td></tr><tr><td>9.521059212241493</td><td>-16.95097123596604</td></tr><tr><td>11.053184626447461</td><td>33.87366093562471</td></tr><tr><td>9.561395388732105</td><td>-8.734483590024148</td></tr><tr><td>9.937884864456137</td><td>-8.873860132894002</td></tr><tr><td>9.388789430004497</td><td>-6.970095111296963</td></tr><tr><td>9.001308805259999</td><td>-50.28474393091289</td></tr><tr><td>8.458374281312834</td><td>-61.85882100043817</td></tr><tr><td>8.835567432195566</td><td>-48.97251324087472</td></tr><tr><td>10.1135696904153</td><td>3.794985643770886</td></tr><tr><td>10.57198600757458</td><td>25.881633005967522</td></tr><tr><td>9.362914882779908</td><td>-14.563167227728055</td></tr><tr><td>8.97537150306686</td><td>-26.476299261388107</td></tr><tr><td>11.22406231911763</td><td>62.89508557236729</td></tr><tr><td>12.440721225732148</td><td>115.36913466859546</td></tr><tr><td>11.036906051474945</td><td>62.747229026414246</td></tr><tr><td>8.912872739871275</td><td>-51.195258032073006</td></tr><tr><td>8.977994629264476</td><td>-9.012594610773228</td></tr><tr><td>9.01277415871937</td><td>-47.77715907224845</td></tr><tr><td>10.14165166295621</td><td>-1.202115661755732</td></tr><tr><td>10.429877754362312</td><td>21.142325809457198</td></tr><tr><td>11.343547455949901</td><td>70.22114473928941</td></tr><tr><td>10.739555581943865</td><td>39.60307677523447</td></tr><tr><td>9.379967696028668</td><td>-22.313253335262218</td></tr><tr><td>10.093794055145047</td><td>13.560989080032144</td></tr><tr><td>10.803997689551352</td><td>34.86934611905009</td></tr><tr><td>8.148148792464049</td><td>-54.28095049804607</td></tr><tr><td>9.42058040743322</td><td>-9.886273948660836</td></tr><tr><td>10.68314418299091</td><td>50.09472604459234</td></tr><tr><td>9.85273860833382</td><td>-15.092502360644303</td></tr><tr><td>9.17913386263141</td><td>-24.21756624835823</td></tr><tr><td>8.740516708211906</td><td>-38.0037275304573</td></tr><tr><td>8.623162695034889</td><td>-46.27498113341767</td></tr><tr><td>9.360846518093728</td><td>-12.25748803167841</td></tr><tr><td>10.57628946782485</td><td>45.402125186224985</td></tr><tr><td>11.615458326935697</td><td>71.2113313829709</td></tr><tr><td>9.060782937770426</td><td>-10.747279636130877</td></tr><tr><td>8.542029650319552</td><td>-37.960747968534854</td></tr><tr><td>10.477540949278389</td><td>26.2233924025877</td></tr><tr><td>11.746155949444047</td><td>84.19542716741401</td></tr><tr><td>9.82283029757403</td><td>6.0741101008781495</td></tr><tr><td>9.921663202806252</td><td>7.868642677590299</td></tr><tr><td>10.565021272717624</td><td>41.218553563764786</td></tr><tr><td>11.165173497832724</td><td>57.02889600469441</td></tr><tr><td>10.455127502653493</td><td>21.110819793175143</td></tr><tr><td>12.001892618426073</td><td>87.64500286728958</td></tr><tr><td>6.875735810968514</td><td>-112.42178530348923</td></tr><tr><td>10.100089263515356</td><td>19.66286327438779</td></tr><tr><td>10.851526635493538</td><td>45.217215867686974</td></tr><tr><td>10.121147806299119</td><td>-2.1248206726545362</td></tr><tr><td>11.55849143528074</td><td>77.83671306770614</td></tr><tr><td>11.139740055500145</td><td>50.20964898234826</td></tr><tr><td>8.348517719428918</td><td>-65.38519306381284</td></tr><tr><td>9.52965390822422</td><td>-9.914720637857883</td></tr><tr><td>11.08187665677444</td><td>53.529831731823506</td></tr><tr><td>10.058432665370107</td><td>11.827747998063831</td></tr><tr><td>10.23005898515547</td><td>27.884925682485886</td></tr><tr><td>10.534780356805083</td><td>26.81151897153932</td></tr><tr><td>8.946303416533949</td><td>-39.73396708831338</td></tr><tr><td>10.677027474822832</td><td>34.544817694305046</td></tr><tr><td>9.679501786988281</td><td>4.861271140315144</td></tr><tr><td>9.521298174512673</td><td>-7.462042569361962</td></tr><tr><td>8.682895078879376</td><td>-49.13680650893919</td></tr><tr><td>9.454328075529808</td><td>-32.30115168984544</td></tr><tr><td>11.237657640669408</td><td>57.696474509587766</td></tr><tr><td>9.742400749016408</td><td>-5.78115419275848</td></tr><tr><td>9.69487499619425</td><td>-19.157051044254644</td></tr><tr><td>10.124254599864626</td><td>5.222699051708726</td></tr><tr><td>10.707292965000757</td><td>30.737092771094666</td></tr><tr><td>10.073527416606556</td><td>6.393861035327646</td></tr><tr><td>9.831163696771416</td><td>19.95149443164941</td></tr><tr><td>11.82135646228403</td><td>73.46528842381943</td></tr><tr><td>10.468753033015716</td><td>29.20923137277149</td></tr><tr><td>10.685167344512063</td><td>44.77418627041099</td></tr><tr><td>9.038717198642328</td><td>-5.025880695080993</td></tr><tr><td>10.371077357112842</td><td>16.990513973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/td><td>-26.224408372236013</td></tr><tr><td>10.910447393597833</td><td>33.74786667327679</td></tr><tr><td>11.119668749058842</td><td>38.79499895338859</td></tr><tr><td>9.15519562944794</td><td>-8.294176499948264</td></tr><tr><td>10.487685274412598</td><td>40.279829931089736</td></tr><tr><td>12.144226560309805</td><td>83.46956278594169</td></tr><tr><td>9.158180069023548</td><td>-10.454615717571002</td></tr><tr><td>10.35659949023765</td><td>36.21541160417637</td></tr><tr><td>10.714862844168369</td><td>29.704720198991943</td></tr><tr><td>11.495737233562721</td><td>66.16898234995084</td></tr><tr><td>9.415586836482289</td><td>-4.695596802265182</td></tr><tr><td>11.521283060044727</td><td>53.276175802697956</td></tr><tr><td>9.13271298440078</td><td>-36.03987392109505</td></tr><tr><td>9.100656149485522</td><td>-30.348353849387813</td></tr><tr><td>9.246313286982867</td><td>-36.49064019268769</td></tr><tr><td>10.45591956140241</td><td>30.980028836802695</td></tr><tr><td>11.317582896405085</td><td>65.14390996227695</td></tr><tr><td>12.089942387170593</td><td>83.1362591733257</td></tr><tr><td>9.948071587744655</td><td>8.42035070552261</td></tr><tr><td>9.460694668517014</td><td>-5.813999317433588</td></tr><tr><td>10.624137748690766</td><td>23.152710045973144</td></tr><tr><td>10.362162061698555</td><td>42.50121729535319</td></tr><tr><td>10.694641610660815</td><td>6.555074866082698</td></tr><tr><td>9.765698651688657</td><td>6.15312877283272</td></tr><tr><td>9.788466652629374</td><td>-0.15602291708711924</td></tr><tr><td>8.73385869276081</td><td>-42.817009288666675</td></tr><tr><td>10.853721719347362</td><td>74.29790491250056</td></tr><tr><td>11.323120216135033</td><td>81.79972410476385</td></tr><tr><td>9.992559658097012</td><td>8.924658078787049</td></tr><tr><td>9.141115986139548</td><td>-31.01502169607202</td></tr><tr><td>9.420054580963045</td><td>-24.76069196084184</td></tr><tr><td>9.291177323287961</td><td>-22.435131560027386</td></tr><tr><td>10.243695668136743</td><td>16.347536882522185</td></tr><tr><td>10.337754039087235</td><td>20.51116958877501</td></tr></tbody></table></div>"]}}],"execution_count":7},{"cell_type":"code","source":["from pyspark.ml.linalg import Vectors\nfrom pyspark.ml.feature import VectorAssembler"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":8},{"cell_type":"code","source":["ve = VectorAssembler(inputCols=['X'],outputCol='features')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":9},{"cell_type":"code","source":["data = ve.transform(data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":10},{"cell_type":"code","source":["from pyspark.ml.regression import LinearRegression"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":11},{"cell_type":"code","source":["lr = LinearRegression(featuresCol='features',labelCol='y')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":12},{"cell_type":"code","source":["lr_model = lr.fit(data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":13},{"cell_type":"code","source":["lr_model.coefficients"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansired\">Out[</span><span class=\"ansired\">49</span><span class=\"ansired\">]: </span>DenseVector([39.848])\n</div>"]}}],"execution_count":14},{"cell_type":"code","source":["lr_model.intercept"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansired\">Out[</span><span class=\"ansired\">50</span><span class=\"ansired\">]: </span>-388.43662417464964\n</div>"]}}],"execution_count":15},{"cell_type":"code","source":["out = lr_model.transform(data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":16},{"cell_type":"code","source":["display(out)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>X</th><th>y</th><th>features</th><th>prediction</th></tr></thead><tbody><tr><td>10.773741712731471</td><td>39.160258765168535</td><td>List(1, 1, List(), List(10.773741712731471))</td><td>40.87520231191888</td></tr><tr><td>8.887802309767446</td><td>-25.722562465631533</td><td>List(1, 1, List(), List(8.887802309767446))</td><td>-34.27567018140371</td></tr><tr><td>11.17207909628788</td><td>46.495439190734345</td><td>List(1, 1, List(), List(11.17207909628788))</td><td>56.74814174672986</td></tr><tr><td>10.435254455634361</td><td>34.20142827659538</td><td>List(1, 1, List(), List(10.435254455634361))</td><td>27.38716942033153</td></tr><tr><td>10.117147054677854</td><td>19.091311451638887</td><td>List(1, 1, List(), List(10.117147054677854))</td><td>14.711232594952662</td></tr><tr><td>9.521059212241493</td><td>-16.95097123596604</td><td>List(1, 1, List(), List(9.521059212241493))</td><td>-9.041662843442964</td></tr><tr><td>11.053184626447461</td><td>33.87366093562471</td><td>List(1, 1, List(), List(11.053184626447461))</td><td>52.01043748693451</td></tr><tr><td>9.561395388732105</td><td>-8.734483590024148</td><td>List(1, 1, List(), List(9.561395388732105))</td><td>-7.43434775603879</td></tr><tr><td>9.937884864456137</td><td>-8.873860132894002</td><td>List(1, 1, List(), List(9.937884864456137))</td><td>7.567996720537337</td></tr><tr><td>9.388789430004497</td><td>-6.970095111296963</td><td>List(1, 1, List(), List(9.388789430004497))</td><td>-14.312346262003302</td></tr><tr><td>9.001308805259999</td><td>-50.28474393091289</td><td>List(1, 1, List(), List(9.001308805259999))</td><td>-29.75266580675708</td></tr><tr><td>8.458374281312834</td><td>-61.85882100043817</td><td>List(1, 1, List(), List(8.458374281312834))</td><td>-51.38750896091682</td></tr><tr><td>8.835567432195566</td><td>-48.97251324087472</td><td>List(1, 1, List(), List(8.835567432195566))</td><td>-36.357124451853394</td></tr><tr><td>10.1135696904153</td><td>3.794985643770886</td><td>List(1, 1, List(), List(10.1135696904153))</td><td>14.568681861278606</td></tr><tr><td>10.57198600757458</td><td>25.881633005967522</td><td>List(1, 1, List(), List(10.57198600757458))</td><td>32.835645341415784</td></tr><tr><td>9.362914882779908</td><td>-14.563167227728055</td><td>List(1, 1, List(), List(9.362914882779908))</td><td>-15.343394659550711</td></tr><tr><td>8.97537150306686</td><td>-26.476299261388107</td><td>List(1, 1, List(), List(8.97537150306686))</td><td>-30.786214862932468</td></tr><tr><td>11.22406231911763</td><td>62.89508557236729</td><td>List(1, 1, List(), List(11.22406231911763))</td><td>58.819568084464095</td></tr><tr><td>12.440721225732148</td><td>115.36913466859546</td><td>List(1, 1, List(), List(12.440721225732148))</td><td>107.30096585109055</td></tr><tr><td>11.036906051474945</td><td>62.747229026414246</td><td>List(1, 1, List(), List(11.036906051474945))</td><td>51.36176918390743</td></tr><tr><td>8.912872739871275</td><td>-51.195258032073006</td><td>List(1, 1, List(), List(8.912872739871275))</td><td>-33.27666422547293</td></tr><tr><td>8.977994629264476</td><td>-9.012594610773228</td><td>List(1, 1, List(), List(8.977994629264476))</td><td>-30.68168858700807</td></tr><tr><td>9.01277415871937</td><td>-47.77715907224845</td><td>List(1, 1, List(), List(9.01277415871937))</td><td>-29.295794650365792</td></tr><tr><td>10.14165166295621</td><td>-1.202115661755732</td><td>List(1, 1, List(), List(10.14165166295621))</td><td>15.687691695033664</td></tr><tr><td>10.429877754362312</td><td>21.142325809457198</td><td>List(1, 1, List(), List(10.429877754362312))</td><td>27.172918744463914</td></tr><tr><td>11.343547455949901</td><td>70.22114473928941</td><td>List(1, 1, List(), List(11.343547455949901))</td><td>63.58080922976109</td></tr><tr><td>10.739555581943865</td><td>39.60307677523447</td><td>List(1, 1, List(), List(10.739555581943865))</td><td>39.51295411252198</td></tr><tr><td>9.379967696028668</td><td>-22.313253335262218</td><td>List(1, 1, List(), List(9.379967696028668))</td><td>-14.663874526456311</td></tr><tr><td>10.093794055145047</td><td>13.560989080032144</td><td>List(1, 1, List(), List(10.093794055145047))</td><td>13.78066277522862</td></tr><tr><td>10.803997689551352</td><td>34.86934611905009</td><td>List(1, 1, List(), List(10.803997689551352))</td><td>42.080841821109004</td></tr><tr><td>8.148148792464049</td><td>-54.28095049804607</td><td>List(1, 1, List(), List(8.148148792464049))</td><td>-63.749367523293074</td></tr><tr><td>9.42058040743322</td><td>-9.886273948660836</td><td>List(1, 1, List(), List(9.42058040743322))</td><td>-13.04554008178917</td></tr><tr><td>10.68314418299091</td><td>50.09472604459234</td><td>List(1, 1, List(), List(10.68314418299091))</td><td>37.26507390851293</td></tr><tr><td>9.85273860833382</td><td>-15.092502360644303</td><td>List(1, 1, List(), List(9.85273860833382))</td><td>4.1750905502354385</td></tr><tr><td>9.17913386263141</td><td>-24.21756624835823</td><td>List(1, 1, List(), List(9.17913386263141))</td><td>-22.666696771042723</td></tr><tr><td>8.740516708211906</td><td>-38.0037275304573</td><td>List(1, 1, List(), List(8.740516708211906))</td><td>-40.14470364303389</td></tr><tr><td>8.623162695034889</td><td>-46.27498113341767</td><td>List(1, 1, List(), List(8.623162695034889))</td><td>-44.82102381906128</td></tr><tr><td>9.360846518093728</td><td>-12.25748803167841</td><td>List(1, 1, List(), List(9.360846518093728))</td><td>-15.42581481077957</td></tr><tr><td>10.57628946782485</td><td>45.402125186224985</td><td>List(1, 1, List(), List(10.57628946782485))</td><td>33.007129532286285</td></tr><tr><td>11.615458326935697</td><td>71.2113313829709</td><td>List(1, 1, List(), List(11.615458326935697))</td><td>74.41590772915418</td></tr><tr><td>9.060782937770426</td><td>-10.747279636130877</td><td>List(1, 1, List(), List(9.060782937770426))</td><td>-27.38274186226687</td></tr><tr><td>8.542029650319552</td><td>-37.960747968534854</td><td>List(1, 1, List(), List(8.542029650319552))</td><td>-48.05401162811535</td></tr><tr><td>10.477540949278389</td><td>26.2233924025877</td><td>List(1, 1, List(), List(10.477540949278389))</td><td>29.072200703435044</td></tr><tr><td>11.746155949444047</td><td>84.19542716741401</td><td>List(1, 1, List(), List(11.746155949444047))</td><td>79.62394376088918</td></tr><tr><td>9.82283029757403</td><td>6.0741101008781495</td><td>List(1, 1, List(), List(9.82283029757403))</td><td>2.983304830679913</td></tr><tr><td>9.921663202806252</td><td>7.868642677590299</td><td>List(1, 1, List(), List(9.921663202806252))</td><td>6.921596298358168</td></tr><tr><td>10.565021272717624</td><td>41.218553563764786</td><td>List(1, 1, List(), List(10.565021272717624))</td><td>32.558114737642256</td></tr><tr><td>11.165173497832724</td><td>57.02889600469441</td><td>List(1, 1, List(), List(11.165173497832724))</td><td>56.472967609014745</td></tr><tr><td>10.455127502653493</td><td>21.110819793175143</td><td>List(1, 1, List(), List(10.455127502653493))</td><td>28.1790701676415</td></tr><tr><td>12.001892618426073</td><td>87.64500286728958</td><td>List(1, 1, List(), List(12.001892618426073))</td><td>89.81453300905389</td></tr><tr><td>6.875735810968514</td><td>-112.42178530348923</td><td>List(1, 1, List(), List(6.875735810968514))</td><td>-114.45245245854301</td></tr><tr><td>10.100089263515356</td><td>19.66286327438779</td><td>List(1, 1, List(), List(10.100089263515356))</td><td>14.031514102059418</td></tr><tr><td>10.851526635493538</td><td>45.217215867686974</td><td>List(1, 1, List(), List(10.851526635493538))</td><td>43.97477422987549</td></tr><tr><td>10.121147806299119</td><td>-2.1248206726545362</td><td>List(1, 1, List(), List(10.121147806299119))</td><td>14.870654458929096</td></tr><tr><td>11.55849143528074</td><td>77.83671306770614</td><td>List(1, 1, List(), List(11.55849143528074))</td><td>72.1458922639838</td></tr><tr><td>11.139740055500145</td><td>50.20964898234826</td><td>List(1, 1, List(), List(11.139740055500145))</td><td>55.459496349652966</td></tr><tr><td>8.348517719428918</td><td>-65.38519306381284</td><td>List(1, 1, List(), List(8.348517719428918))</td><td>-55.765070860158005</td></tr><tr><td>9.52965390822422</td><td>-9.914720637857883</td><td>List(1, 1, List(), List(9.52965390822422))</td><td>-8.699181584022995</td></tr><tr><td>11.08187665677444</td><td>53.529831731823506</td><td>List(1, 1, List(), List(11.08187665677444))</td><td>53.153756890139334</td></tr><tr><td>10.058432665370107</td><td>11.827747998063831</td><td>List(1, 1, List(), List(10.058432665370107))</td><td>12.371582881152221</td></tr><tr><td>10.23005898515547</td><td>27.884925682485886</td><td>List(1, 1, List(), List(10.23005898515547))</td><td>19.21054475575812</td></tr><tr><td>10.534780356805083</td><td>26.81151897153932</td><td>List(1, 1, List(), List(10.534780356805083))</td><td>31.353075375161723</td></tr><tr><td>8.946303416533949</td><td>-39.73396708831338</td><td>List(1, 1, List(), List(8.946303416533949))</td><td>-31.944519345688605</td></tr><tr><td>10.677027474822832</td><td>34.544817694305046</td><td>List(1, 1, List(), List(10.677027474822832))</td><td>37.02133545387562</td></tr><tr><td>9.679501786988281</td><td>4.861271140315144</td><td>List(1, 1, List(), List(9.679501786988281))</td><td>-2.7280465556683566</td></tr><tr><td>9.521298174512673</td><td>-7.462042569361962</td><td>List(1, 1, List(), List(9.521298174512673))</td><td>-9.03214068003524</td></tr><tr><td>8.682895078879376</td><td>-49.13680650893919</td><td>List(1, 1, List(), List(8.682895078879376))</td><td>-42.440809081003295</td></tr><tr><td>9.454328075529808</td><td>-32.30115168984544</td><td>List(1, 1, List(), List(9.454328075529808))</td><td>-11.70076373421</td></tr><tr><td>11.237657640669408</td><td>57.696474509587766</td><td>List(1, 1, List(), List(11.237657640669408))</td><td>59.36131416328169</td></tr><tr><td>9.742400749016408</td><td>-5.78115419275848</td><td>List(1, 1, List(), List(9.742400749016408))</td><td>-0.22165007871416265</td></tr><tr><td>9.69487499619425</td><td>-19.157051044254644</td><td>List(1, 1, List(), List(9.69487499619425))</td><td>-2.1154552481029327</td></tr><tr><td>10.124254599864626</td><td>5.222699051708726</td><td>List(1, 1, List(), List(10.124254599864626))</td><td>14.994453901656414</td></tr><tr><td>10.707292965000757</td><td>30.737092771094666</td><td>List(1, 1, List(), List(10.707292965000757))</td><td>38.22735405115105</td></tr><tr><td>10.073527416606556</td><td>6.393861035327646</td><td>List(1, 1, List(), List(10.073527416606556))</td><td>12.973078201577607</td></tr><tr><td>9.831163696771416</td><td>19.95149443164941</td><td>List(1, 1, List(), List(9.831163696771416))</td><td>3.315373941455391</td></tr><tr><td>11.82135646228403</td><td>73.46528842381943</td><td>List(1, 1, List(), List(11.82135646228403))</td><td>82.6205321682304</td></tr><tr><td>10.468753033015716</td><td>29.20923137277149</td><td>List(1, 1, List(), List(10.468753033015716))</td><td>28.72202000648366</td></tr><tr><td>10.685167344512063</td><td>44.77418627041099</td><td>List(1, 1, List(), List(10.685167344512063))</td><td>37.345692805000624</td></tr><tr><td>9.038717198642328</td><td>-5.025880695080993</td><td>List(1, 1, List(), List(9.038717198642328))</td><td>-28.26201695725689</td></tr><tr><td>10.371077357112842</td><td>16.99051397389456</td><td>List(1, 1, List(), List(10.371077357112842))</td><td>24.82984178806396</td></tr><tr><td>11.453131244249986</td><td>51.8817760177257</td><td>List(1, 1, List(), List(11.453131244249986))</td><td>67.94750165314014</td></tr><tr><td>9.332164641882006</td><td>-8.725960768398913</td><td>List(1, 1, List(), List(9.332164641882006))</td><td>-16.568729593019555</td></tr><tr><td>11.000574276968331</td><td>48.76878365152889</td><td>List(1, 1, List(), List(11.000574276968331))</td><td>49.91402142005484</td></tr><tr><td>9.092750865142058</td><td>-22.662475329971628</td><td>List(1, 1, List(), List(9.092750865142058))</td><td>-26.108884584559235</td></tr><tr><td>10.276947190411319</td><td>6.7214791149755495</td><td>List(1, 1, List(), List(10.276947190411319))</td><td>21.07894494352928</td></tr><tr><td>9.878151464758139</td><td>-1.3488007055252424</td><td>List(1, 1, List(), List(9.878151464758139))</td><td>5.187741502770621</td></tr><tr><td>10.52576937866809</td><td>57.3387100919218</td><td>List(1, 1, List(), List(10.52576937866809))</td><td>30.994006113472267</td></tr><tr><td>9.658947648903492</td><td>-13.60207512143377</td><td>List(1, 1, List(), List(9.658947648903492))</td><td>-3.547087405015077</td></tr><tr><td>9.473532615161716</td><td>-12.730214465468105</td><td>List(1, 1, List(), List(9.473532615161716))</td><td>-10.93550165479104</td></tr><tr><td>9.54127544235055</td><td>-5.189256107697187</td><td>List(1, 1, List(), List(9.54127544235055))</td><td>-8.236086943796522</td></tr><tr><td>9.980500681081766</td><td>-2.071617164543264</td><td>List(1, 1, List(), List(9.980500681081766))</td><td>9.266150858680987</td></tr><tr><td>9.606422126208358</td><td>-27.873451546227123</td><td>List(1, 1, List(), List(9.606422126208358))</td><td>-5.640123296042816</td></tr><tr><td>9.536552813502125</td><td>-3.41727299455858</td><td>List(1, 1, List(), List(9.536552813502125))</td><td>-8.424274155890146</td></tr><tr><td>9.875987534459634</td><td>24.023064113957048</td><td>List(1, 1, List(), List(9.875987534459634))</td><td>5.101513255091106</td></tr><tr><td>10.05452479731853</td><td>12.159561522260226</td><td>List(1, 1, List(), List(10.05452479731853))</td><td>12.215862239649482</td></tr><tr><td>10.89333227623789</td><td>52.34406490581598</td><td>List(1, 1, List(), List(10.89333227623789))</td><td>45.640644497044605</td></tr><tr><td>9.700689636356751</td><td>-5.181141437537196</td><td>List(1, 1, List(), List(9.700689636356751))</td><td>-1.8837535928111606</td></tr><tr><td>10.463713666559805</td><td>23.51961381645503</td><td>List(1, 1, List(), List(10.463713666559805))</td><td>28.52121144106519</td></tr><tr><td>10.559008911557813</td><td>33.16366301991373</td><td>List(1, 1, List(), 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List(9.908081062332057))</td><td>6.380375458834635</td></tr><tr><td>9.283932206280959</td><td>-26.11200564686139</td><td>List(1, 1, List(), List(9.283932206280959))</td><td>-18.490694642479752</td></tr><tr><td>12.106319385358633</td><td>98.21333395132702</td><td>List(1, 1, List(), List(12.106319385358633))</td><td>93.97572855664401</td></tr><tr><td>8.789840315446094</td><td>-36.006858126553965</td><td>List(1, 1, List(), List(8.789840315446094))</td><td>-38.179257609963315</td></tr><tr><td>10.601918207894022</td><td>30.926211313497127</td><td>List(1, 1, List(), List(10.601918207894022))</td><td>34.02838301162706</td></tr><tr><td>10.112316162578683</td><td>26.23799949515645</td><td>List(1, 1, List(), List(10.112316162578683))</td><td>14.518731311187537</td></tr><tr><td>11.390329706839783</td><td>65.81163491960328</td><td>List(1, 1, List(), List(11.390329706839783))</td><td>65.44498735025144</td></tr><tr><td>9.543835425798612</td><td>-16.02551781383356</td><td>List(1, 1, List(), List(9.543835425798612))</td><td>-8.134076778789108</td></tr><tr><td>9.899564042937135</td><td>5.316062135659176</td><td>List(1, 1, List(), List(9.899564042937135))</td><td>6.040989454403643</td></tr><tr><td>11.588018620081538</td><td>79.13535663109872</td><td>List(1, 1, List(), List(11.588018620081538))</td><td>73.32249088457792</td></tr><tr><td>12.149354727830703</td><td>99.14956864536377</td><td>List(1, 1, List(), List(12.149354727830703))</td><td>95.69059995163269</td></tr><tr><td>9.885771527022621</td><td>-1.0167198750057054</td><td>List(1, 1, List(), List(9.885771527022621))</td><td>5.491385578889549</td></tr><tr><td>10.221093798272136</td><td>28.876469785163145</td><td>List(1, 1, List(), List(10.221093798272136))</td><td>18.853300182952978</td></tr><tr><td>9.05622126370863</td><td>-30.75967141786684</td><td>List(1, 1, List(), List(9.05622126370863))</td><td>-27.564515351507964</td></tr><tr><td>9.367301341238583</td><td>-12.552417999320383</td><td>List(1, 1, List(), List(9.367301341238583))</td><td>-15.168603157868745</td></tr><tr><td>7.675279361272461</td><td>-74.76778003133087</td><td>List(1, 1, List(), List(7.675279361272461))</td><td>-82.59225837843843</td></tr><tr><td>9.725414101896227</td><td>-8.121763897183374</td><td>List(1, 1, List(), List(9.725414101896227))</td><td>-0.8985336253496143</td></tr><tr><td>9.767376721258684</td><td>-1.0233877747283397</td><td>List(1, 1, List(), List(9.767376721258684))</td><td>0.7735919223947008</td></tr><tr><td>9.826992345841912</td><td>-1.4166644453699568</td><td>List(1, 1, List(), List(9.826992345841912))</td><td>3.149154039938253</td></tr><tr><td>9.55323452075513</td><td>-2.3003865497170732</td><td>List(1, 1, List(), List(9.55323452075513))</td><td>-7.759541846479124</td></tr><tr><td>11.199268357225746</td><td>72.97602937437608</td><td>List(1, 1, List(), List(11.199268357225746))</td><td>57.83157882785656</td></tr><tr><td>9.270980773970066</td><td>-21.803372894975894</td><td>List(1, 1, List(), List(9.270980773970066))</td><td>-19.00678303676858</td></tr><tr><td>9.381364059951801</td><td>-9.633407379674935</td><td>List(1, 1, List(), List(9.381364059951801))</td><td>-14.608232247082583</td></tr><tr><td>9.557453390610865</td><td>-25.34817931508786</td><td>List(1, 1, List(), List(9.557453390610865))</td><td>-7.591428411818413</td></tr><tr><td>11.402647458688584</td><td>67.90535631597149</td><td>List(1, 1, List(), List(11.402647458688584))</td><td>65.93582485920786</td></tr><tr><td>10.528121960725132</td><td>28.836562636447134</td><td>List(1, 1, List(), List(10.528121960725132))</td><td>31.08775175234115</td></tr><tr><td>10.43037754482468</td><td>21.98046016983272</td><td>List(1, 1, List(), List(10.43037754482468))</td><td>27.192834383986394</td></tr><tr><td>7.981628877083683</td><td>-70.94031273005083</td><td>List(1, 1, List(), List(7.981628877083683))</td><td>-70.38484950573701</td></tr><tr><td>11.930583580923217</td><td>109.55096759145727</td><td>List(1, 1, List(), List(11.930583580923217))</td><td>86.9730120266849</td></tr><tr><td>10.138034849735861</td><td>26.940050839896045</td><td>List(1, 1, List(), List(10.138034849735861))</td><td>15.543569000143577</td></tr><tr><td>10.456523914406946</td><td>12.520190868794728</td><td>List(1, 1, List(), List(10.456523914406946))</td><td>28.234714352956757</td></tr><tr><td>9.001462621980684</td><td>-27.522361717300754</td><td>List(1, 1, List(), List(9.001462621980684))</td><td>-29.746536521401822</td></tr><tr><td>9.56574658308732</td><td>9.5605712388945</td><td>List(1, 1, List(), List(9.56574658308732))</td><td>-7.260961457587996</td></tr><tr><td>10.664985012837194</td><td>22.993495511662797</td><td>List(1, 1, List(), List(10.664985012837194))</td><td>36.5414676894257</td></tr><tr><td>9.505984941211766</td><td>-9.662291999656421</td><td>List(1, 1, List(), List(9.505984941211766))</td><td>-9.642342069034385</td></tr><tr><td>8.96376697264542</td><td>-26.224408372236013</td><td>List(1, 1, List(), List(8.96376697264542))</td><td>-31.248631939894665</td></tr><tr><td>10.910447393597833</td><td>33.74786667327679</td><td>List(1, 1, List(), List(10.910447393597833))</td><td>46.32264732301229</td></tr><tr><td>11.119668749058842</td><td>38.79499895338859</td><td>List(1, 1, List(), List(11.119668749058842))</td><td>54.65969536518122</td></tr><tr><td>9.15519562944794</td><td>-8.294176499948264</td><td>List(1, 1, List(), List(9.15519562944794))</td><td>-23.620586968606403</td></tr><tr><td>10.487685274412598</td><td>40.279829931089736</td><td>List(1, 1, List(), List(10.487685274412598))</td><td>29.476431551729377</td></tr><tr><td>12.144226560309805</td><td>83.46956278594169</td><td>List(1, 1, List(), List(12.144226560309805))</td><td>95.4862528432995</td></tr><tr><td>9.158180069023548</td><td>-10.454615717571002</td><td>List(1, 1, List(), List(9.158180069023548))</td><td>-23.50166308501923</td></tr><tr><td>10.35659949023765</td><td>36.21541160417637</td><td>List(1, 1, List(), List(10.35659949023765))</td><td>24.252928062308627</td></tr><tr><td>10.714862844168369</td><td>29.704720198991943</td><td>List(1, 1, List(), List(10.714862844168369))</td><td>38.528998432312505</td></tr><tr><td>11.495737233562721</td><td>66.16898234995084</td><td>List(1, 1, List(), List(11.495737233562721))</td><td>69.64526419273233</td></tr><tr><td>9.415586836482289</td><td>-4.695596802265182</td><td>List(1, 1, List(), List(9.415586836482289))</td><td>-13.244523788916808</td></tr><tr><td>11.521283060044727</td><td>53.276175802697956</td><td>List(1, 1, List(), List(11.521283060044727))</td><td>70.663213733247</td></tr><tr><td>9.13271298440078</td><td>-36.03987392109505</td><td>List(1, 1, List(), List(9.13271298440078))</td><td>-24.516474921631982</td></tr><tr><td>9.100656149485522</td><td>-30.348353849387813</td><td>List(1, 1, List(), List(9.100656149485522))</td><td>-25.793874985212938</td></tr><tr><td>9.246313286982867</td><td>-36.49064019268769</td><td>List(1, 1, List(), List(9.246313286982867))</td><td>-19.98973252411281</td></tr><tr><td>10.45591956140241</td><td>30.980028836802695</td><td>List(1, 1, List(), List(10.45591956140241))</td><td>28.21063210751805</td></tr><tr><td>11.317582896405085</td><td>65.14390996227695</td><td>List(1, 1, List(), List(11.317582896405085))</td><td>62.54617402322634</td></tr><tr><td>12.089942387170593</td><td>83.1362591733257</td><td>List(1, 1, List(), List(12.089942387170593))</td><td>93.32313828745595</td></tr><tr><td>9.948071587744655</td><td>8.42035070552261</td><td>List(1, 1, List(), List(9.948071587744655))</td><td>7.9739170495665235</td></tr><tr><td>9.460694668517014</td><td>-5.813999317433588</td><td>List(1, 1, List(), List(9.460694668517014))</td><td>-11.447067874710797</td></tr><tr><td>10.624137748690766</td><td>23.152710045973144</td><td>List(1, 1, List(), List(10.624137748690766))</td><td>34.91378679217905</td></tr><tr><td>10.362162061698555</td><td>42.50121729535319</td><td>List(1, 1, List(), List(10.362162061698555))</td><td>24.47458528943713</td></tr><tr><td>10.694641610660815</td><td>6.555074866082698</td><td>List(1, 1, List(), List(10.694641610660815))</td><td>37.72322315735107</td></tr><tr><td>9.765698651688657</td><td>6.15312877283272</td><td>List(1, 1, List(), List(9.765698651688657))</td><td>0.7067242425032987</td></tr><tr><td>9.788466652629374</td><td>-0.15602291708711924</td><td>List(1, 1, List(), List(9.788466652629374))</td><td>1.6139830509965805</td></tr><tr><td>8.73385869276081</td><td>-42.817009288666675</td><td>List(1, 1, List(), List(8.73385869276081))</td><td>-40.410012098564096</td></tr><tr><td>10.853721719347362</td><td>74.29790491250056</td><td>List(1, 1, List(), List(10.853721719347362))</td><td>44.062243883752785</td></tr><tr><td>11.323120216135033</td><td>81.79972410476385</td><td>List(1, 1, List(), List(11.323120216135033))</td><td>62.76682501992644</td></tr><tr><td>9.992559658097012</td><td>8.924658078787049</td><td>List(1, 1, List(), List(9.992559658097012))</td><td>9.746676713673082</td></tr><tr><td>9.141115986139548</td><td>-31.01502169607202</td><td>List(1, 1, List(), List(9.141115986139548))</td><td>-24.1816322902946</td></tr><tr><td>9.420054580963045</td><td>-24.76069196084184</td><td>List(1, 1, List(), List(9.420054580963045))</td><td>-13.066493203587129</td></tr><tr><td>9.291177323287961</td><td>-22.435131560027386</td><td>List(1, 1, List(), List(9.291177323287961))</td><td>-18.201991376862225</td></tr><tr><td>10.243695668136743</td><td>16.347536882522185</td><td>List(1, 1, List(), List(10.243695668136743))</td><td>19.753939003922653</td></tr><tr><td>10.337754039087235</td><td>20.51116958877501</td><td>List(1, 1, List(), List(10.337754039087235))</td><td>23.50197493292484</td></tr></tbody></table></div>"]}}],"execution_count":17},{"cell_type":"markdown","source":["### Evaluating Regression Models\n<hr>\n* Finding the best model among competing models requires models to be evaluated\n* PySpark provides libraries to evalute regression models"],"metadata":{}},{"cell_type":"code","source":["from pyspark.ml.evaluation import RegressionEvaluator"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":19},{"cell_type":"code","source":["regression_eval = RegressionEvaluator(predictionCol='prediction', labelCol='y')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":20},{"cell_type":"code","source":["regression_eval.evaluate(out, {regression_eval.metricName: \"r2\"})"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansired\">Out[</span><span class=\"ansired\">61</span><span class=\"ansired\">]: </span>0.9356449762154797\n</div>"]}}],"execution_count":21},{"cell_type":"code","source":["regression_eval.evaluate(out, {regression_eval.metricName: \"mae\"})"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansired\">Out[</span><span class=\"ansired\">62</span><span class=\"ansired\">]: </span>8.241072477438074\n</div>"]}}],"execution_count":22},{"cell_type":"markdown","source":["### Generalized Linear Regression\n<hr>\n* Linear regression mentioned above is a part of Generalized Linear Regression\n* Linear regression have certain assumptions about target data, feature data like target data should be normally distributed.\n* Target can be of any linear for continues, logit for binary & poission for count"],"metadata":{}},{"cell_type":"code","source":["from pyspark.ml.regression import GeneralizedLinearRegression"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":24},{"cell_type":"code","source":["glr = GeneralizedLinearRegression(family=\"binomial\",link=\"logit\", featuresCol='features', labelCol='y')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":25},{"cell_type":"code","source":["from sklearn.datasets import make_blobs\nX,y = make_blobs(n_features=2, n_samples=1000, cluster_std=2,centers=2)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":26},{"cell_type":"code","source":["ve = VectorAssembler(inputCols=['X1','X2'], outputCol='features')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":27},{"cell_type":"code","source":["df = pd.DataFrame({'X1':X[:,0], 'X2':X[:,1],'y':y.ravel()})\ndata = spark.createDataFrame(df)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":28},{"cell_type":"code","source":["data = ve.transform(data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":29},{"cell_type":"code","source":["glr_model = glr.fit(data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":30},{"cell_type":"code","source":["out = glr_model.transform(data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":31},{"cell_type":"code","source":["display(out)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>X1</th><th>X2</th><th>y</th><th>features</th><th>prediction</th></tr></thead><tbody><tr><td>-0.029407679239454643</td><td>10.055384586574753</td><td>0</td><td>List(1, 2, List(), List(-0.029407679239454643, 10.055384586574753))</td><td>3.399453611665722E-4</td></tr><tr><td>-5.77814120197689</td><td>3.5173164054359765</td><td>1</td><td>List(1, 2, List(), List(-5.77814120197689, 3.5173164054359765))</td><td>0.9988787074112904</td></tr><tr><td>0.3700633454962521</td><td>4.956514069086183</td><td>1</td><td>List(1, 2, List(), List(0.3700633454962521, 4.956514069086183))</td><td>0.12151361823905989</td></tr><tr><td>4.022892811622982</td><td>3.6339534478565088</td><td>0</td><td>List(1, 2, List(), List(4.022892811622982, 3.6339534478565088))</td><td>0.01177285157310597</td></tr><tr><td>-1.3443846896132876</td><td>4.823459943065423</td><td>1</td><td>List(1, 2, List(), List(-1.3443846896132876, 4.823459943065423))</td><td>0.5318562368324615</td></tr><tr><td>2.999200406837827</td><td>4.290139600564432</td><td>0</td><td>List(1, 2, List(), List(2.999200406837827, 4.290139600564432))</td><td>0.016227083220837487</td></tr><tr><td>-2.1224418941953616</td><td>2.3174659615804294</td><td>1</td><td>List(1, 2, List(), List(-2.1224418941953616, 2.3174659615804294))</td><td>0.9849543856759351</td></tr><tr><td>0.7008877253719983</td><td>11.584280939767991</td><td>0</td><td>List(1, 2, List(), List(0.7008877253719983, 11.584280939767991))</td><td>2.147763133583518E-5</td></tr><tr><td>1.6149456797545783</td><td>11.462658603218145</td><td>0</td><td>List(1, 2, List(), List(1.6149456797545783, 11.462658603218145))</td><td>8.919859926950338E-6</td></tr><tr><td>1.3214059146884811</td><td>5.450898433249814</td><td>0</td><td>List(1, 2, List(), List(1.3214059146884811, 5.450898433249814))</td><td>0.024615737551869438</td></tr><tr><td>-2.8434393787861962</td><td>-0.8423834502943524</td><td>1</td><td>List(1, 2, List(), List(-2.8434393787861962, -0.8423834502943524))</td><td>0.9998765182291319</td></tr><tr><td>-0.06977853565498826</td><td>7.345661394532607</td><td>0</td><td>List(1, 2, List(), List(-0.06977853565498826, 7.345661394532607))</td><td>0.01090129467832483</td></tr><tr><td>-2.877979201119867</td><td>4.202848106446943</td><td>1</td><td>List(1, 2, List(), List(-2.877979201119867, 4.202848106446943))</td><td>0.9338065513536226</td></tr><tr><td>-0.14205988546727188</td><td>4.509216709060541</td><td>0</td><td>List(1, 2, List(), List(-0.14205988546727188, 4.509216709060541))</td><td>0.3030441388438522</td></tr><tr><td>-7.232249685632246</td><td>2.7013862462882225</td><td>1</td><td>List(1, 2, List(), List(-7.232249685632246, 2.7013862462882225))</td><td>0.9999227873174099</td></tr><tr><td>-0.8617950733374637</td><td>5.329167291739936</td><td>0</td><td>List(1, 2, List(), List(-0.8617950733374637, 5.329167291739936))</td><td>0.2576231150881604</td></tr><tr><td>-2.683221654225513</td><td>12.138629831971105</td><td>0</td><td>List(1, 2, List(), List(-2.683221654225513, 12.138629831971105))</td><td>4.869078019982044E-4</td></tr><tr><td>-4.1953212702971525</td><td>2.6971993712698725</td><td>1</td><td>List(1, 2, List(), List(-4.1953212702971525, 2.6971993712698725))</td><td>0.9976303736583998</td></tr><tr><td>-4.360028622461621</td><td>5.012557045906922</td><td>1</td><td>List(1, 2, List(), List(-4.360028622461621, 5.012557045906922))</td><td>0.9642744660813188</td></tr><tr><td>1.2332767473664668</td><td>11.873337830039596</td><td>0</td><td>List(1, 2, List(), List(1.2332767473664668, 11.873337830039596))</td><td>8.160173176512242E-6</td></tr><tr><td>2.5979172874020415</td><td>6.252978782073408</td><td>0</td><td>List(1, 2, List(), List(2.5979172874020415, 6.252978782073408))</td><td>0.0021547030049237524</td></tr><tr><td>1.4053026235616417</td><td>5.805682956457671</td><td>0</td><td>List(1, 2, List(), List(1.4053026235616417, 5.805682956457671))</td><td>0.01443288915230061</td></tr><tr><td>-4.173280043695792</td><td>4.980967502484583</td><td>1</td><td>List(1, 2, List(), List(-4.173280043695792, 4.980967502484583))</td><td>0.9578927865055594</td></tr><tr><td>-4.212332139983786</td><td>4.482780150913468</td><td>1</td><td>List(1, 2, List(), List(-4.212332139983786, 4.482780150913468))</td><td>0.978114014326271</td></tr><tr><td>2.0668143225461475</td><td>2.164221296166059</td><td>0</td><td>List(1, 2, List(), List(2.0668143225461475, 2.164221296166059))</td><td>0.41146164263613194</td></tr><tr><td>-3.4231051670596706</td><td>4.187882851127689</td><td>1</td><td>List(1, 2, List(), List(-3.4231051670596706, 4.187882851127689))</td><td>0.9637922358279054</td></tr><tr><td>-4.962040180418432</td><td>2.594719552955449</td><td>1</td><td>List(1, 2, List(), List(-4.962040180418432, 2.594719552955449))</td><td>0.9991236070166291</td></tr><tr><td>-0.7872546075002891</td><td>5.937356279800891</td><td>0</td><td>List(1, 2, List(), List(-0.7872546075002891, 5.937356279800891))</td><td>0.12863532907958558</td></tr><tr><td>4.069934841581055</td><td>8.40781638408582</td><td>0</td><td>List(1, 2, List(), List(4.069934841581055, 8.40781638408582))</td><td>2.6692096263068085E-5</td></tr><tr><td>0.1458003803416824</td><td>7.354626842694692</td><td>0</td><td>List(1, 2, List(), List(0.1458003803416824, 7.354626842694692))</td><td>0.008468812062268283</td></tr><tr><td>-0.35799792799917296</td><td>9.847550997864156</td><td>0</td><td>List(1, 2, List(), List(-0.35799792799917296, 9.847550997864156))</td><td>6.410232558686997E-4</td></tr><tr><td>3.0084140510758024</td><td>10.115585460319965</td><td>0</td><td>List(1, 2, List(), List(3.0084140510758024, 10.115585460319965))</td><td>1.017888646941629E-5</td></tr><tr><td>-1.8703927028537433</td><td>0.7111876573669684</td><td>1</td><td>List(1, 2, List(), List(-1.8703927028537433, 0.7111876573669684))</td><td>0.9973529264720141</td></tr><tr><td>-3.3053600453394383</td><td>8.876007786438185</td><td>0</td><td>List(1, 2, List(), List(-3.3053600453394383, 8.876007786438185))</td><td>0.05783049847519549</td></tr><tr><td>-4.809187341759615</td><td>5.829620375381689</td><td>1</td><td>List(1, 2, List(), List(-4.809187341759615, 5.829620375381689))</td><td>0.9409174219144684</td></tr><tr><td>-3.9504328333584904</td><td>1.6868890037225408</td><td>1</td><td>List(1, 2, List(), List(-3.9504328333584904, 1.6868890037225408))</td><td>0.9991297603370005</td></tr><tr><td>-1.5499632216990031</td><td>8.608145867097303</td><td>0</td><td>List(1, 2, List(), List(-1.5499632216990031, 8.608145867097303))</td><td>0.011718449809929055</td></tr><tr><td>-4.7686902899772265</td><td>0.44578672041974476</td><td>1</td><td>List(1, 2, List(), List(-4.7686902899772265, 0.44578672041974476))</td><td>0.9999282863189033</td></tr><tr><td>3.0691510265391106</td><td>6.920561258703165</td><td>0</td><td>List(1, 2, List(), List(3.0691510265391106, 6.920561258703165))</td><td>5.439303786528062E-4</td></tr><tr><td>-3.490532362483111</td><td>4.60185660130792</td><td>1</td><td>List(1, 2, List(), List(-3.490532362483111, 4.60185660130792))</td><td>0.9444511408665632</td></tr><tr><td>4.260895270717178</td><td>7.869673507496881</td><td>0</td><td>List(1, 2, List(), List(4.260895270717178, 7.869673507496881))</td><td>4.253530099087302E-5</td></tr><tr><td>-2.8238253666809254</td><td>0.38092908206006193</td><td>1</td><td>List(1, 2, List(), List(-2.8238253666809254, 0.38092908206006193))</td><td>0.9994055965686018</td></tr><tr><td>1.942870078287077</td><td>4.3672970450893915</td><td>0</td><td>List(1, 2, List(), List(1.942870078287077, 4.3672970450893915))</td><td>0.047026315955219285</td></tr><tr><td>-3.756167711375982</td><td>5.333012707934877</td><td>1</td><td>List(1, 2, List(), List(-3.756167711375982, 5.333012707934877))</td><td>0.9008954581420063</td></tr><tr><td>1.78983066831016</td><td>6.815040294148773</td><td>0</td><td>List(1, 2, List(), List(1.78983066831016, 6.815040294148773))</td><td>0.002633199436413022</td></tr><tr><td>2.2137870087766016</td><td>6.646856334313966</td><td>0</td><td>List(1, 2, List(), List(2.2137870087766016, 6.646856334313966))</td><td>0.002019478724824721</td></tr><tr><td>-5.982471849099784</td><td>0.5497158113762648</td><td>1</td><td>List(1, 2, List(), List(-5.982471849099784, 0.5497158113762648))</td><td>0.9999792425366866</td></tr><tr><td>-2.250784763768616</td><td>-0.057513352572925225</td><td>1</td><td>List(1, 2, List(), List(-2.250784763768616, -0.057513352572925225))</td><td>0.9993483223150389</td></tr><tr><td>0.48311852039766545</td><td>9.050234468031292</td><td>0</td><td>List(1, 2, List(), List(0.48311852039766545, 9.050234468031292))</td><td>6.804233005251503E-4</td></tr><tr><td>-6.031639647919912</td><td>0.45067699313048104</td><td>1</td><td>List(1, 2, List(), List(-6.031639647919912, 0.45067699313048104))</td><td>0.9999826796158149</td></tr><tr><td>3.799331611327579</td><td>5.787748030641838</td><td>0</td><td>List(1, 2, List(), List(3.799331611327579, 5.787748030641838))</td><td>0.0010006773404061958</td></tr><tr><td>2.0031264809473317</td><td>6.470384944371709</td><td>0</td><td>List(1, 2, List(), List(2.0031264809473317, 6.470384944371709))</td><td>0.003200327796194122</td></tr><tr><td>1.0566687979976233</td><td>9.424018193881697</td><td>0</td><td>List(1, 2, List(), List(1.0566687979976233, 9.424018193881697))</td><td>2.2175364778342376E-4</td></tr><tr><td>-2.856622362377271</td><td>2.697781925910324</td><td>1</td><td>List(1, 2, List(), List(-2.856622362377271, 2.697781925910324))</td><td>0.9893266387198143</td></tr><tr><td>-0.2091720427456012</td><td>5.860232851621871</td><td>0</td><td>List(1, 2, List(), List(-0.2091720427456012, 5.860232851621871))</td><td>0.07809125780121111</td></tr><tr><td>-0.5607536946016265</td><td>4.835589783626263</td><td>1</td><td>List(1, 2, List(), List(-0.5607536946016265, 4.835589783626263))</td><td>0.31578318170749003</td></tr><tr><td>-0.045846291254546534</td><td>10.241010178312155</td><td>0</td><td>List(1, 2, List(), List(-0.045846291254546534, 10.241010178312155))</td><td>2.7376301745077043E-4</td></tr><tr><td>-5.696014878134145</td><td>-0.06029669242111213</td><td>1</td><td>List(1, 2, List(), List(-5.696014878134145, -0.06029669242111213))</td><td>0.999986752801416</td></tr><tr><td>2.013566566745147</td><td>9.865895839946047</td><td>0</td><td>List(1, 2, List(), List(2.013566566745147, 9.865895839946047))</td><td>4.297920481579293E-5</td></tr><tr><td>-8.207325406299534</td><td>2.001938339958248</td><td>1</td><td>List(1, 2, List(), List(-8.207325406299534, 2.001938339958248))</td><td>0.9999894222369601</td></tr><tr><td>-0.19512035871489197</td><td>9.264229174774975</td><td>0</td><td>List(1, 2, List(), List(-0.19512035871489197, 9.264229174774975))</td><td>0.0011160382294364572</td></tr><tr><td>-0.2690488630947949</td><td>-0.019834100142414712</td><td>1</td><td>List(1, 2, List(), List(-0.2690488630947949, -0.019834100142414712))</td><td>0.9936210143076096</td></tr><tr><td>1.0576029773842386</td><td>4.284728069570073</td><td>1</td><td>List(1, 2, List(), List(1.0576029773842386, 4.284728069570073))</td><td>0.12965819846167406</td></tr><tr><td>-4.711746515228718</td><td>3.597966613728109</td><td>1</td><td>List(1, 2, List(), List(-4.711746515228718, 3.597966613728109))</td><td>0.9958687049630596</td></tr><tr><td>3.200669701583183</td><td>6.313736198340862</td><td>0</td><td>List(1, 2, List(), List(3.200669701583183, 6.313736198340862))</td><td>0.001010815778859849</td></tr><tr><td>1.3184175373586997</td><td>6.362206550473634</td><td>0</td><td>List(1, 2, List(), List(1.3184175373586997, 6.362206550473634))</td><td>0.007918728903359377</td></tr><tr><td>0.4591534238707742</td><td>8.748260989772302</td><td>0</td><td>List(1, 2, List(), List(0.4591534238707742, 8.748260989772302))</td><td>0.0010245508647773421</td></tr><tr><td>-1.4914478982268369</td><td>-0.7309926932570674</td><td>1</td><td>List(1, 2, List(), List(-1.4914478982268369, -0.7309926932570674))</td><td>0.9993451947047989</td></tr><tr><td>1.0859958387864181</td><td>6.377478703316052</td><td>0</td><td>List(1, 2, List(), List(1.0859958387864181, 6.377478703316052))</td><td>0.010077700550966674</td></tr><tr><td>5.269604277029269</td><td>7.865626163782535</td><td>0</td><td>List(1, 2, List(), List(5.269604277029269, 7.865626163782535))</td><td>1.3677030742165722E-5</td></tr><tr><td>-5.763129758373902</td><td>3.0034905320668055</td><td>1</td><td>List(1, 2, List(), List(-5.763129758373902, 3.0034905320668055))</td><td>0.99940487153559</td></tr><tr><td>-6.3356600945584605</td><td>3.3494369310439396</td><td>1</td><td>List(1, 2, List(), List(-6.3356600945584605, 3.3494369310439396))</td><td>0.9995168937054899</td></tr><tr><td>1.921588028776402</td><td>9.335987592868882</td><td>0</td><td>List(1, 2, List(), List(1.921588028776402, 9.335987592868882))</td><td>9.330917323644366E-5</td></tr><tr><td>-5.4323637516952505</td><td>1.5057208935440474</td><td>1</td><td>List(1, 2, List(), List(-5.4323637516952505, 1.5057208935440474))</td><td>0.9998702626177008</td></tr><tr><td>-3.0827900359148206</td><td>5.2934914534254585</td><td>1</td><td>List(1, 2, List(), List(-3.0827900359148206, 5.2934914534254585))</td><td>0.8170385734921394</td></tr><tr><td>-3.88331675845378</td><td>2.942961485429568</td><td>1</td><td>List(1, 2, List(), List(-3.88331675845378, 2.942961485429568))</td><td>0.9954076427524355</td></tr><tr><td>-1.3292023235533077</td><td>4.6601036142859655</td><td>0</td><td>List(1, 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3.5900380500326667))</td><td>0.6950451288920091</td></tr><tr><td>2.3865269112763468</td><td>5.226777271746289</td><td>0</td><td>List(1, 2, List(), List(2.3865269112763468, 5.226777271746289))</td><td>0.009961378005683648</td></tr><tr><td>-4.430421713267059</td><td>3.6543829378268224</td><td>1</td><td>List(1, 2, List(), List(-4.430421713267059, 3.6543829378268224))</td><td>0.9939140905845296</td></tr><tr><td>1.7436188207151146</td><td>5.782320964246287</td><td>0</td><td>List(1, 2, List(), List(1.7436188207151146, 5.782320964246287))</td><td>0.010187182852437337</td></tr><tr><td>1.0439126103264051</td><td>6.717997963702754</td><td>0</td><td>List(1, 2, List(), List(1.0439126103264051, 6.717997963702754))</td><td>0.006887454096866105</td></tr><tr><td>-2.4095823352436785</td><td>8.973790378197048</td><td>0</td><td>List(1, 2, List(), List(-2.4095823352436785, 8.973790378197048))</td><td>0.019327407992769934</td></tr><tr><td>1.7821297396253661</td><td>8.088176676376635</td><td>0</td><td>List(1, 2, List(), List(1.7821297396253661, 8.088176676376635))</td><td>5.305260019233127E-4</td></tr><tr><td>-0.6200075069509663</td><td>3.1670559028549334</td><td>1</td><td>List(1, 2, List(), List(-0.6200075069509663, 3.1670559028549334))</td><td>0.8033781173663748</td></tr><tr><td>-3.2811146916486997</td><td>6.59492457009814</td><td>0</td><td>List(1, 2, List(), List(-3.2811146916486997, 6.59492457009814))</td><td>0.5179329893049002</td></tr><tr><td>-3.7799683882110346</td><td>0.39046986481074164</td><td>1</td><td>List(1, 2, List(), List(-3.7799683882110346, 0.39046986481074164))</td><td>0.9997956858828668</td></tr><tr><td>1.237860958532198</td><td>7.812754952982083</td><td>0</td><td>List(1, 2, List(), List(1.237860958532198, 7.812754952982083))</td><td>0.0013898042292751437</td></tr><tr><td>4.805967415826835</td><td>3.7916620438104505</td><td>0</td><td>List(1, 2, List(), List(4.805967415826835, 3.7916620438104505))</td><td>0.004010849382809827</td></tr><tr><td>3.5734920302181226</td><td>6.382787543235499</td><td>0</td><td>List(1, 2, List(), List(3.5734920302181226, 6.382787543235499))</td><td>6.07999069463206E-4</td></tr><tr><td>-0.1532629200625104</td><td>7.143440420073665</td><td>0</td><td>List(1, 2, List(), List(-0.1532629200625104, 7.143440420073665))</td><td>0.015407188890598961</td></tr><tr><td>1.1001096197188232</td><td>8.159931919621044</td><td>0</td><td>List(1, 2, List(), List(1.1001096197188232, 8.159931919621044))</td><td>0.0010463727433740904</td></tr><tr><td>0.274235558720319</td><td>3.311296800394009</td><td>0</td><td>List(1, 2, List(), List(0.274235558720319, 3.311296800394009))</td><td>0.5533894411155048</td></tr><tr><td>-4.209750288879156</td><td>2.9460345087645847</td><td>1</td><td>List(1, 2, List(), List(-4.209750288879156, 2.9460345087645847))</td><td>0.9968073732840337</td></tr><tr><td>1.9340885210982892</td><td>5.923944660236181</td><td>0</td><td>List(1, 2, List(), List(1.9340885210982892, 5.923944660236181))</td><td>0.006888280803408632</td></tr><tr><td>-1.6784025604999833</td><td>1.9886321456979132</td><td>1</td><td>List(1, 2, List(), List(-1.6784025604999833, 1.9886321456979132))</td><td>0.9836390705457926</td></tr><tr><td>3.3228515125236533</td><td>9.811596521960706</td><td>0</td><td>List(1, 2, List(), List(3.3228515125236533, 9.811596521960706))</td><td>1.0486991750819686E-5</td></tr><tr><td>-4.545214845858331</td><td>5.399199420766118</td><td>1</td><td>List(1, 2, List(), List(-4.545214845858331, 5.399199420766118))</td><td>0.9532442543446564</td></tr><tr><td>-0.11400393918999896</td><td>6.7839956334826255</td><td>0</td><td>List(1, 2, List(), List(-0.11400393918999896, 6.7839956334826255))</td><td>0.023058653652393537</td></tr><tr><td>-3.7949260462094956</td><td>-1.0183519129265983</td><td>1</td><td>List(1, 2, List(), List(-3.7949260462094956, -1.0183519129265983))</td><td>0.9999662783735505</td></tr><tr><td>-2.569618357580816</td><td>5.223180620518712</td><td>1</td><td>List(1, 2, List(), List(-2.569618357580816, 5.223180620518712))</td><td>0.7321652718328974</td></tr><tr><td>-2.4481948073110447</td><td>4.251110037564505</td><td>1</td><td>List(1, 2, List(), List(-2.4481948073110447, 4.251110037564505))</td><td>0.8908953212560689</td></tr><tr><td>3.255712130915525</td><td>9.503579454237975</td><td>0</td><td>List(1, 2, List(), List(3.255712130915525, 9.503579454237975))</td><td>1.6713365816662292E-5</td></tr><tr><td>0.3212013100197756</td><td>7.120034173415412</td><td>0</td><td>List(1, 2, List(), List(0.3212013100197756, 7.120034173415412))</td><td>0.00934195571052308</td></tr></tbody></table></div>"]}}],"execution_count":32},{"cell_type":"markdown","source":["### Survival Regression\n<hr>\n* Survival analysis is generally defined as a set of methods for analyzing data where the outcome variable is the time until the occurrence of an event of interest.\n* The event can be death, occurrence of a disease, marriage, divorce.\n* Observations are called censored when the information about their survival time is incomplete; the most commonly encountered form is right censoring.\n* Suppose patients are followed in a study for 20 weeks.A patient who does not experience the event of interest for the duration of the study is said to be right censored."],"metadata":{}},{"cell_type":"code","source":[" lung_data = spark.read.csv('/FileStore/tables/lung_cancer.csv',inferSchema=True, header=True)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":34},{"cell_type":"code","source":["display(lung_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>Treatment</th><th>Celltype</th><th>Survival_in_days</th><th>Status</th><th>Karnofsky_score</th><th>Months_from_Diagnosis</th><th>Age_in_years</th><th>Prior_therapy</th></tr></thead><tbody><tr><td>'standard'</td><td>'squamous'</td><td>72</td><td>'dead'</td><td>60</td><td>7</td><td>69</td><td>'no'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>411</td><td>'dead'</td><td>70</td><td>5</td><td>64</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>228</td><td>'dead'</td><td>60</td><td>3</td><td>38</td><td>'no'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>126</td><td>'dead'</td><td>60</td><td>9</td><td>63</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>118</td><td>'dead'</td><td>70</td><td>11</td><td>65</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>10</td><td>'dead'</td><td>20</td><td>5</td><td>49</td><td>'no'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>82</td><td>'dead'</td><td>40</td><td>10</td><td>69</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>110</td><td>'dead'</td><td>80</td><td>29</td><td>68</td><td>'no'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>314</td><td>'dead'</td><td>50</td><td>18</td><td>43</td><td>'no'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>100</td><td>'censored'</td><td>70</td><td>6</td><td>70</td><td>'no'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>42</td><td>'dead'</td><td>60</td><td>4</td><td>81</td><td>'no'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>8</td><td>'dead'</td><td>40</td><td>58</td><td>63</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>144</td><td>'dead'</td><td>30</td><td>4</td><td>63</td><td>'no'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>25</td><td>'censored'</td><td>80</td><td>9</td><td>52</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>11</td><td>'dead'</td><td>70</td><td>11</td><td>48</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>30</td><td>'dead'</td><td>60</td><td>3</td><td>61</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>384</td><td>'dead'</td><td>60</td><td>9</td><td>42</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>4</td><td>'dead'</td><td>40</td><td>2</td><td>35</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>54</td><td>'dead'</td><td>80</td><td>4</td><td>63</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>13</td><td>'dead'</td><td>60</td><td>4</td><td>56</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>123</td><td>'censored'</td><td>40</td><td>3</td><td>55</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>97</td><td>'censored'</td><td>60</td><td>5</td><td>67</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>153</td><td>'dead'</td><td>60</td><td>14</td><td>63</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>59</td><td>'dead'</td><td>30</td><td>2</td><td>65</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>117</td><td>'dead'</td><td>80</td><td>3</td><td>46</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>16</td><td>'dead'</td><td>30</td><td>4</td><td>53</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>151</td><td>'dead'</td><td>50</td><td>12</td><td>69</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>22</td><td>'dead'</td><td>60</td><td>4</td><td>68</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>56</td><td>'dead'</td><td>80</td><td>12</td><td>43</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>21</td><td>'dead'</td><td>40</td><td>2</td><td>55</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>18</td><td>'dead'</td><td>20</td><td>15</td><td>42</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>139</td><td>'dead'</td><td>80</td><td>2</td><td>64</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>20</td><td>'dead'</td><td>30</td><td>5</td><td>65</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>31</td><td>'dead'</td><td>75</td><td>3</td><td>65</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>52</td><td>'dead'</td><td>70</td><td>2</td><td>55</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>287</td><td>'dead'</td><td>60</td><td>25</td><td>66</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>18</td><td>'dead'</td><td>30</td><td>4</td><td>60</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>51</td><td>'dead'</td><td>60</td><td>1</td><td>67</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>122</td><td>'dead'</td><td>80</td><td>28</td><td>53</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>27</td><td>'dead'</td><td>60</td><td>8</td><td>62</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>54</td><td>'dead'</td><td>70</td><td>1</td><td>67</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>7</td><td>'dead'</td><td>50</td><td>7</td><td>72</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>63</td><td>'dead'</td><td>50</td><td>11</td><td>48</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>392</td><td>'dead'</td><td>40</td><td>4</td><td>68</td><td>'no'</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>10</td><td>'dead'</td><td>40</td><td>23</td><td>67</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>8</td><td>'dead'</td><td>20</td><td>19</td><td>61</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>92</td><td>'dead'</td><td>70</td><td>10</td><td>60</td><td>'no'</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>35</td><td>'dead'</td><td>40</td><td>6</td><td>62</td><td>'no'</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>117</td><td>'dead'</td><td>80</td><td>2</td><td>38</td><td>'no'</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>132</td><td>'dead'</td><td>80</td><td>5</td><td>50</td><td>'no'</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>12</td><td>'dead'</td><td>50</td><td>4</td><td>63</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>162</td><td>'dead'</td><td>80</td><td>5</td><td>64</td><td>'no'</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>3</td><td>'dead'</td><td>30</td><td>3</td><td>43</td><td>'no'</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>95</td><td>'dead'</td><td>80</td><td>4</td><td>34</td><td>'no'</td></tr><tr><td>'standard'</td><td>'large'</td><td>177</td><td>'dead'</td><td>50</td><td>16</td><td>66</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'large'</td><td>162</td><td>'dead'</td><td>80</td><td>5</td><td>62</td><td>'no'</td></tr><tr><td>'standard'</td><td>'large'</td><td>216</td><td>'dead'</td><td>50</td><td>15</td><td>52</td><td>'no'</td></tr><tr><td>'standard'</td><td>'large'</td><td>553</td><td>'dead'</td><td>70</td><td>2</td><td>47</td><td>'no'</td></tr><tr><td>'standard'</td><td>'large'</td><td>278</td><td>'dead'</td><td>60</td><td>12</td><td>63</td><td>'no'</td></tr><tr><td>'standard'</td><td>'large'</td><td>12</td><td>'dead'</td><td>40</td><td>12</td><td>68</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'large'</td><td>260</td><td>'dead'</td><td>80</td><td>5</td><td>45</td><td>'no'</td></tr><tr><td>'standard'</td><td>'large'</td><td>200</td><td>'dead'</td><td>80</td><td>12</td><td>41</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'large'</td><td>156</td><td>'dead'</td><td>70</td><td>2</td><td>66</td><td>'no'</td></tr><tr><td>'standard'</td><td>'large'</td><td>182</td><td>'censored'</td><td>90</td><td>2</td><td>62</td><td>'no'</td></tr><tr><td>'standard'</td><td>'large'</td><td>143</td><td>'dead'</td><td>90</td><td>8</td><td>60</td><td>'no'</td></tr><tr><td>'standard'</td><td>'large'</td><td>105</td><td>'dead'</td><td>80</td><td>11</td><td>66</td><td>'no'</td></tr><tr><td>'standard'</td><td>'large'</td><td>103</td><td>'dead'</td><td>80</td><td>5</td><td>38</td><td>'no'</td></tr><tr><td>'standard'</td><td>'large'</td><td>250</td><td>'dead'</td><td>70</td><td>8</td><td>53</td><td>'yes'</td></tr><tr><td>'standard'</td><td>'large'</td><td>100</td><td>'dead'</td><td>60</td><td>13</td><td>37</td><td>'yes'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>999</td><td>'dead'</td><td>90</td><td>12</td><td>54</td><td>'yes'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>112</td><td>'dead'</td><td>80</td><td>6</td><td>60</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>87</td><td>'censored'</td><td>80</td><td>3</td><td>48</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>231</td><td>'censored'</td><td>50</td><td>8</td><td>52</td><td>'yes'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>242</td><td>'dead'</td><td>50</td><td>1</td><td>70</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>991</td><td>'dead'</td><td>70</td><td>7</td><td>50</td><td>'yes'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>111</td><td>'dead'</td><td>70</td><td>3</td><td>62</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>1</td><td>'dead'</td><td>20</td><td>21</td><td>65</td><td>'yes'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>587</td><td>'dead'</td><td>60</td><td>3</td><td>58</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>389</td><td>'dead'</td><td>90</td><td>2</td><td>62</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>33</td><td>'dead'</td><td>30</td><td>6</td><td>64</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>25</td><td>'dead'</td><td>20</td><td>36</td><td>63</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>357</td><td>'dead'</td><td>70</td><td>13</td><td>58</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>467</td><td>'dead'</td><td>90</td><td>2</td><td>64</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>201</td><td>'dead'</td><td>80</td><td>28</td><td>52</td><td>'yes'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>1</td><td>'dead'</td><td>50</td><td>7</td><td>35</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>30</td><td>'dead'</td><td>70</td><td>11</td><td>63</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>44</td><td>'dead'</td><td>60</td><td>13</td><td>70</td><td>'yes'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>283</td><td>'dead'</td><td>90</td><td>2</td><td>51</td><td>'no'</td></tr><tr><td>'test'</td><td>'squamous'</td><td>15</td><td>'dead'</td><td>50</td><td>13</td><td>40</td><td>'yes'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>25</td><td>'dead'</td><td>30</td><td>2</td><td>69</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>103</td><td>'censored'</td><td>70</td><td>22</td><td>36</td><td>'yes'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>21</td><td>'dead'</td><td>20</td><td>4</td><td>71</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>13</td><td>'dead'</td><td>30</td><td>2</td><td>62</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>87</td><td>'dead'</td><td>60</td><td>2</td><td>60</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>2</td><td>'dead'</td><td>40</td><td>36</td><td>44</td><td>'yes'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>20</td><td>'dead'</td><td>30</td><td>9</td><td>54</td><td>'yes'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>7</td><td>'dead'</td><td>20</td><td>11</td><td>66</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>24</td><td>'dead'</td><td>60</td><td>8</td><td>49</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>99</td><td>'dead'</td><td>70</td><td>3</td><td>72</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>8</td><td>'dead'</td><td>80</td><td>2</td><td>68</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>99</td><td>'dead'</td><td>85</td><td>4</td><td>62</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>61</td><td>'dead'</td><td>70</td><td>2</td><td>71</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>25</td><td>'dead'</td><td>70</td><td>2</td><td>70</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>95</td><td>'dead'</td><td>70</td><td>1</td><td>61</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>80</td><td>'dead'</td><td>50</td><td>17</td><td>71</td><td>'no'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>51</td><td>'dead'</td><td>30</td><td>87</td><td>59</td><td>'yes'</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>29</td><td>'dead'</td><td>40</td><td>8</td><td>67</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>24</td><td>'dead'</td><td>40</td><td>2</td><td>60</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>18</td><td>'dead'</td><td>40</td><td>5</td><td>69</td><td>'yes'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>83</td><td>'censored'</td><td>99</td><td>3</td><td>57</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>31</td><td>'dead'</td><td>80</td><td>3</td><td>39</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>51</td><td>'dead'</td><td>60</td><td>5</td><td>62</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>90</td><td>'dead'</td><td>60</td><td>22</td><td>50</td><td>'yes'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>52</td><td>'dead'</td><td>60</td><td>3</td><td>43</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>73</td><td>'dead'</td><td>60</td><td>3</td><td>70</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>8</td><td>'dead'</td><td>50</td><td>5</td><td>66</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>36</td><td>'dead'</td><td>70</td><td>8</td><td>61</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>48</td><td>'dead'</td><td>10</td><td>4</td><td>81</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>7</td><td>'dead'</td><td>40</td><td>4</td><td>58</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>140</td><td>'dead'</td><td>70</td><td>3</td><td>63</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>186</td><td>'dead'</td><td>90</td><td>3</td><td>60</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>84</td><td>'dead'</td><td>80</td><td>4</td><td>62</td><td>'yes'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>19</td><td>'dead'</td><td>50</td><td>10</td><td>42</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>45</td><td>'dead'</td><td>40</td><td>3</td><td>69</td><td>'no'</td></tr><tr><td>'test'</td><td>'adeno'</td><td>80</td><td>'dead'</td><td>40</td><td>4</td><td>63</td><td>'no'</td></tr><tr><td>'test'</td><td>'large'</td><td>52</td><td>'dead'</td><td>60</td><td>4</td><td>45</td><td>'no'</td></tr><tr><td>'test'</td><td>'large'</td><td>164</td><td>'dead'</td><td>70</td><td>15</td><td>68</td><td>'yes'</td></tr><tr><td>'test'</td><td>'large'</td><td>19</td><td>'dead'</td><td>30</td><td>4</td><td>39</td><td>'yes'</td></tr><tr><td>'test'</td><td>'large'</td><td>53</td><td>'dead'</td><td>60</td><td>12</td><td>66</td><td>'no'</td></tr><tr><td>'test'</td><td>'large'</td><td>15</td><td>'dead'</td><td>30</td><td>5</td><td>63</td><td>'no'</td></tr><tr><td>'test'</td><td>'large'</td><td>43</td><td>'dead'</td><td>60</td><td>11</td><td>49</td><td>'yes'</td></tr><tr><td>'test'</td><td>'large'</td><td>340</td><td>'dead'</td><td>80</td><td>10</td><td>64</td><td>'yes'</td></tr><tr><td>'test'</td><td>'large'</td><td>133</td><td>'dead'</td><td>75</td><td>1</td><td>65</td><td>'no'</td></tr><tr><td>'test'</td><td>'large'</td><td>111</td><td>'dead'</td><td>60</td><td>5</td><td>64</td><td>'no'</td></tr><tr><td>'test'</td><td>'large'</td><td>231</td><td>'dead'</td><td>70</td><td>18</td><td>67</td><td>'yes'</td></tr><tr><td>'test'</td><td>'large'</td><td>378</td><td>'dead'</td><td>80</td><td>4</td><td>65</td><td>'no'</td></tr><tr><td>'test'</td><td>'large'</td><td>49</td><td>'dead'</td><td>30</td><td>3</td><td>37</td><td>'no'</td></tr></tbody></table></div>"]}}],"execution_count":35},{"cell_type":"code","source":["lung_data.columns"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansired\">Out[</span><span class=\"ansired\">157</span><span class=\"ansired\">]: </span>\n[&apos;Treatment&apos;,\n &apos;Celltype&apos;,\n &apos;Survival_in_days&apos;,\n &apos;Status&apos;,\n &apos;Karnofsky_score&apos;,\n &apos;Months_from_Diagnosis&apos;,\n &apos;Age_in_years&apos;,\n &apos;Prior_therapy&apos;]\n</div>"]}}],"execution_count":36},{"cell_type":"code","source":["from pyspark.ml.feature import OneHotEncoderEstimator\nfrom pyspark.ml.feature import StringIndexer"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":37},{"cell_type":"code","source":["cat_cols = ['Treatment', 'Celltype', 'Status', 'Prior_therapy']"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":38},{"cell_type":"code","source":["num_cols = list(set(lung_data.columns) - set(cat_cols))"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":39},{"cell_type":"code","source":["num_cols"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansired\">Out[</span><span class=\"ansired\">161</span><span class=\"ansired\">]: </span>\n[&apos;Age_in_years&apos;,\n &apos;Survival_in_days&apos;,\n &apos;Karnofsky_score&apos;,\n &apos;Months_from_Diagnosis&apos;]\n</div>"]}}],"execution_count":40},{"cell_type":"code","source":["stringIndexers = []\nfor col in cat_cols:\n  si = StringIndexer(inputCol=col, outputCol=col+'_tf')\n  stringIndexers.append(si)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":41},{"cell_type":"code","source":["for idx,col in enumerate(cat_cols):\n  lung_data = stringIndexers[idx].fit(lung_data).transform(lung_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":42},{"cell_type":"code","source":["display(lung_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>Treatment</th><th>Celltype</th><th>Survival_in_days</th><th>Status</th><th>Karnofsky_score</th><th>Months_from_Diagnosis</th><th>Age_in_years</th><th>Prior_therapy</th><th>Treatment_tf</th><th>Celltype_tf</th><th>Status_tf</th><th>Prior_therapy_tf</th></tr></thead><tbody><tr><td>'standard'</td><td>'squamous'</td><td>72</td><td>'dead'</td><td>60</td><td>7</td><td>69</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>411</td><td>'dead'</td><td>70</td><td>5</td><td>64</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>228</td><td>'dead'</td><td>60</td><td>3</td><td>38</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>126</td><td>'dead'</td><td>60</td><td>9</td><td>63</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>118</td><td>'dead'</td><td>70</td><td>11</td><td>65</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>10</td><td>'dead'</td><td>20</td><td>5</td><td>49</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>82</td><td>'dead'</td><td>40</td><td>10</td><td>69</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>110</td><td>'dead'</td><td>80</td><td>29</td><td>68</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>314</td><td>'dead'</td><td>50</td><td>18</td><td>43</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>100</td><td>'censored'</td><td>70</td><td>6</td><td>70</td><td>'no'</td><td>0.0</td><td>1.0</td><td>1.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>42</td><td>'dead'</td><td>60</td><td>4</td><td>81</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>8</td><td>'dead'</td><td>40</td><td>58</td><td>63</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>144</td><td>'dead'</td><td>30</td><td>4</td><td>63</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>25</td><td>'censored'</td><td>80</td><td>9</td><td>52</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>1.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>11</td><td>'dead'</td><td>70</td><td>11</td><td>48</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>30</td><td>'dead'</td><td>60</td><td>3</td><td>61</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>384</td><td>'dead'</td><td>60</td><td>9</td><td>42</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>4</td><td>'dead'</td><td>40</td><td>2</td><td>35</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>54</td><td>'dead'</td><td>80</td><td>4</td><td>63</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>13</td><td>'dead'</td><td>60</td><td>4</td><td>56</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>123</td><td>'censored'</td><td>40</td><td>3</td><td>55</td><td>'no'</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>97</td><td>'censored'</td><td>60</td><td>5</td><td>67</td><td>'no'</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>153</td><td>'dead'</td><td>60</td><td>14</td><td>63</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>59</td><td>'dead'</td><td>30</td><td>2</td><td>65</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>117</td><td>'dead'</td><td>80</td><td>3</td><td>46</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>16</td><td>'dead'</td><td>30</td><td>4</td><td>53</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>151</td><td>'dead'</td><td>50</td><td>12</td><td>69</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>22</td><td>'dead'</td><td>60</td><td>4</td><td>68</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>56</td><td>'dead'</td><td>80</td><td>12</td><td>43</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>21</td><td>'dead'</td><td>40</td><td>2</td><td>55</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>18</td><td>'dead'</td><td>20</td><td>15</td><td>42</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>139</td><td>'dead'</td><td>80</td><td>2</td><td>64</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>20</td><td>'dead'</td><td>30</td><td>5</td><td>65</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>31</td><td>'dead'</td><td>75</td><td>3</td><td>65</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>52</td><td>'dead'</td><td>70</td><td>2</td><td>55</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>287</td><td>'dead'</td><td>60</td><td>25</td><td>66</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>18</td><td>'dead'</td><td>30</td><td>4</td><td>60</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>51</td><td>'dead'</td><td>60</td><td>1</td><td>67</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>122</td><td>'dead'</td><td>80</td><td>28</td><td>53</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>27</td><td>'dead'</td><td>60</td><td>8</td><td>62</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>54</td><td>'dead'</td><td>70</td><td>1</td><td>67</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>7</td><td>'dead'</td><td>50</td><td>7</td><td>72</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>63</td><td>'dead'</td><td>50</td><td>11</td><td>48</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>392</td><td>'dead'</td><td>40</td><td>4</td><td>68</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>10</td><td>'dead'</td><td>40</td><td>23</td><td>67</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>8</td><td>'dead'</td><td>20</td><td>19</td><td>61</td><td>'yes'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>92</td><td>'dead'</td><td>70</td><td>10</td><td>60</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>35</td><td>'dead'</td><td>40</td><td>6</td><td>62</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>117</td><td>'dead'</td><td>80</td><td>2</td><td>38</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>132</td><td>'dead'</td><td>80</td><td>5</td><td>50</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>12</td><td>'dead'</td><td>50</td><td>4</td><td>63</td><td>'yes'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>162</td><td>'dead'</td><td>80</td><td>5</td><td>64</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>3</td><td>'dead'</td><td>30</td><td>3</td><td>43</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>95</td><td>'dead'</td><td>80</td><td>4</td><td>34</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>177</td><td>'dead'</td><td>50</td><td>16</td><td>66</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>162</td><td>'dead'</td><td>80</td><td>5</td><td>62</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>216</td><td>'dead'</td><td>50</td><td>15</td><td>52</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>553</td><td>'dead'</td><td>70</td><td>2</td><td>47</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>278</td><td>'dead'</td><td>60</td><td>12</td><td>63</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>12</td><td>'dead'</td><td>40</td><td>12</td><td>68</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>260</td><td>'dead'</td><td>80</td><td>5</td><td>45</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>200</td><td>'dead'</td><td>80</td><td>12</td><td>41</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>156</td><td>'dead'</td><td>70</td><td>2</td><td>66</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>182</td><td>'censored'</td><td>90</td><td>2</td><td>62</td><td>'no'</td><td>0.0</td><td>3.0</td><td>1.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>143</td><td>'dead'</td><td>90</td><td>8</td><td>60</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>105</td><td>'dead'</td><td>80</td><td>11</td><td>66</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>103</td><td>'dead'</td><td>80</td><td>5</td><td>38</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>250</td><td>'dead'</td><td>70</td><td>8</td><td>53</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'standard'</td><td>'large'</td><td>100</td><td>'dead'</td><td>60</td><td>13</td><td>37</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>999</td><td>'dead'</td><td>90</td><td>12</td><td>54</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>112</td><td>'dead'</td><td>80</td><td>6</td><td>60</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>87</td><td>'censored'</td><td>80</td><td>3</td><td>48</td><td>'no'</td><td>1.0</td><td>1.0</td><td>1.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>231</td><td>'censored'</td><td>50</td><td>8</td><td>52</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>1.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>242</td><td>'dead'</td><td>50</td><td>1</td><td>70</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>991</td><td>'dead'</td><td>70</td><td>7</td><td>50</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>111</td><td>'dead'</td><td>70</td><td>3</td><td>62</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>1</td><td>'dead'</td><td>20</td><td>21</td><td>65</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>587</td><td>'dead'</td><td>60</td><td>3</td><td>58</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>389</td><td>'dead'</td><td>90</td><td>2</td><td>62</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>33</td><td>'dead'</td><td>30</td><td>6</td><td>64</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>25</td><td>'dead'</td><td>20</td><td>36</td><td>63</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>357</td><td>'dead'</td><td>70</td><td>13</td><td>58</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>467</td><td>'dead'</td><td>90</td><td>2</td><td>64</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>201</td><td>'dead'</td><td>80</td><td>28</td><td>52</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>1</td><td>'dead'</td><td>50</td><td>7</td><td>35</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>30</td><td>'dead'</td><td>70</td><td>11</td><td>63</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>44</td><td>'dead'</td><td>60</td><td>13</td><td>70</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>283</td><td>'dead'</td><td>90</td><td>2</td><td>51</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'squamous'</td><td>15</td><td>'dead'</td><td>50</td><td>13</td><td>40</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>25</td><td>'dead'</td><td>30</td><td>2</td><td>69</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>103</td><td>'censored'</td><td>70</td><td>22</td><td>36</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>1.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>21</td><td>'dead'</td><td>20</td><td>4</td><td>71</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>13</td><td>'dead'</td><td>30</td><td>2</td><td>62</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>87</td><td>'dead'</td><td>60</td><td>2</td><td>60</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>2</td><td>'dead'</td><td>40</td><td>36</td><td>44</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>20</td><td>'dead'</td><td>30</td><td>9</td><td>54</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>7</td><td>'dead'</td><td>20</td><td>11</td><td>66</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>24</td><td>'dead'</td><td>60</td><td>8</td><td>49</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>99</td><td>'dead'</td><td>70</td><td>3</td><td>72</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>8</td><td>'dead'</td><td>80</td><td>2</td><td>68</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>99</td><td>'dead'</td><td>85</td><td>4</td><td>62</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>61</td><td>'dead'</td><td>70</td><td>2</td><td>71</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>25</td><td>'dead'</td><td>70</td><td>2</td><td>70</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>95</td><td>'dead'</td><td>70</td><td>1</td><td>61</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>80</td><td>'dead'</td><td>50</td><td>17</td><td>71</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>51</td><td>'dead'</td><td>30</td><td>87</td><td>59</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>29</td><td>'dead'</td><td>40</td><td>8</td><td>67</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>24</td><td>'dead'</td><td>40</td><td>2</td><td>60</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>18</td><td>'dead'</td><td>40</td><td>5</td><td>69</td><td>'yes'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>83</td><td>'censored'</td><td>99</td><td>3</td><td>57</td><td>'no'</td><td>1.0</td><td>2.0</td><td>1.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>31</td><td>'dead'</td><td>80</td><td>3</td><td>39</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>51</td><td>'dead'</td><td>60</td><td>5</td><td>62</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>90</td><td>'dead'</td><td>60</td><td>22</td><td>50</td><td>'yes'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>52</td><td>'dead'</td><td>60</td><td>3</td><td>43</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>73</td><td>'dead'</td><td>60</td><td>3</td><td>70</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>8</td><td>'dead'</td><td>50</td><td>5</td><td>66</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>36</td><td>'dead'</td><td>70</td><td>8</td><td>61</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>48</td><td>'dead'</td><td>10</td><td>4</td><td>81</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>7</td><td>'dead'</td><td>40</td><td>4</td><td>58</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>140</td><td>'dead'</td><td>70</td><td>3</td><td>63</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>186</td><td>'dead'</td><td>90</td><td>3</td><td>60</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>84</td><td>'dead'</td><td>80</td><td>4</td><td>62</td><td>'yes'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>19</td><td>'dead'</td><td>50</td><td>10</td><td>42</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>45</td><td>'dead'</td><td>40</td><td>3</td><td>69</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'adeno'</td><td>80</td><td>'dead'</td><td>40</td><td>4</td><td>63</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'large'</td><td>52</td><td>'dead'</td><td>60</td><td>4</td><td>45</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'large'</td><td>164</td><td>'dead'</td><td>70</td><td>15</td><td>68</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'large'</td><td>19</td><td>'dead'</td><td>30</td><td>4</td><td>39</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'large'</td><td>53</td><td>'dead'</td><td>60</td><td>12</td><td>66</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'large'</td><td>15</td><td>'dead'</td><td>30</td><td>5</td><td>63</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'large'</td><td>43</td><td>'dead'</td><td>60</td><td>11</td><td>49</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'large'</td><td>340</td><td>'dead'</td><td>80</td><td>10</td><td>64</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'large'</td><td>133</td><td>'dead'</td><td>75</td><td>1</td><td>65</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'large'</td><td>111</td><td>'dead'</td><td>60</td><td>5</td><td>64</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'large'</td><td>231</td><td>'dead'</td><td>70</td><td>18</td><td>67</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td></tr><tr><td>'test'</td><td>'large'</td><td>378</td><td>'dead'</td><td>80</td><td>4</td><td>65</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr><tr><td>'test'</td><td>'large'</td><td>49</td><td>'dead'</td><td>30</td><td>3</td><td>37</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td></tr></tbody></table></div>"]}}],"execution_count":43},{"cell_type":"code","source":["ohe = OneHotEncoderEstimator(inputCols=['Treatment_tf','Celltype_tf','Prior_therapy_tf'], outputCols=['Treatment_en','Celltype_en','Prior_therapy_en'])"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":44},{"cell_type":"code","source":["ohe_model = ohe.fit(lung_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":45},{"cell_type":"code","source":["lung_data = ohe_model.transform(lung_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":46},{"cell_type":"code","source":["lung_data.columns"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"><span class=\"ansired\">Out[</span><span class=\"ansired\">168</span><span class=\"ansired\">]: </span>\n[&apos;Treatment&apos;,\n &apos;Celltype&apos;,\n &apos;Survival_in_days&apos;,\n &apos;Status&apos;,\n &apos;Karnofsky_score&apos;,\n &apos;Months_from_Diagnosis&apos;,\n &apos;Age_in_years&apos;,\n &apos;Prior_therapy&apos;,\n &apos;Treatment_tf&apos;,\n &apos;Celltype_tf&apos;,\n &apos;Status_tf&apos;,\n &apos;Prior_therapy_tf&apos;,\n &apos;Treatment_en&apos;,\n &apos;Celltype_en&apos;,\n &apos;Prior_therapy_en&apos;]\n</div>"]}}],"execution_count":47},{"cell_type":"code","source":["ve = VectorAssembler(inputCols=['Treatment_en','Celltype_en','Prior_therapy_en']+num_cols, outputCol='features')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":48},{"cell_type":"code","source":["lung_data = ve.transform(lung_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":49},{"cell_type":"code","source":["display(lung_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>Treatment</th><th>Celltype</th><th>Survival_in_days</th><th>Status</th><th>Karnofsky_score</th><th>Months_from_Diagnosis</th><th>Age_in_years</th><th>Prior_therapy</th><th>Treatment_tf</th><th>Celltype_tf</th><th>Status_tf</th><th>Prior_therapy_tf</th><th>Treatment_en</th><th>Celltype_en</th><th>Prior_therapy_en</th><th>features</th></tr></thead><tbody><tr><td>'standard'</td><td>'squamous'</td><td>72</td><td>'dead'</td><td>60</td><td>7</td><td>69</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 69.0, 72.0, 60.0, 7.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>411</td><td>'dead'</td><td>70</td><td>5</td><td>64</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 64.0, 411.0, 70.0, 5.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>228</td><td>'dead'</td><td>60</td><td>3</td><td>38</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 38.0, 228.0, 60.0, 3.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>126</td><td>'dead'</td><td>60</td><td>9</td><td>63</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 63.0, 126.0, 60.0, 9.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>118</td><td>'dead'</td><td>70</td><td>11</td><td>65</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 65.0, 118.0, 70.0, 11.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>10</td><td>'dead'</td><td>20</td><td>5</td><td>49</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 49.0, 10.0, 20.0, 5.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>82</td><td>'dead'</td><td>40</td><td>10</td><td>69</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 69.0, 82.0, 40.0, 10.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>110</td><td>'dead'</td><td>80</td><td>29</td><td>68</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 68.0, 110.0, 80.0, 29.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>314</td><td>'dead'</td><td>50</td><td>18</td><td>43</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 43.0, 314.0, 50.0, 18.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>100</td><td>'censored'</td><td>70</td><td>6</td><td>70</td><td>'no'</td><td>0.0</td><td>1.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 70.0, 100.0, 70.0, 6.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>42</td><td>'dead'</td><td>60</td><td>4</td><td>81</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 81.0, 42.0, 60.0, 4.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>8</td><td>'dead'</td><td>40</td><td>58</td><td>63</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 63.0, 8.0, 40.0, 58.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>144</td><td>'dead'</td><td>30</td><td>4</td><td>63</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 63.0, 144.0, 30.0, 4.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>25</td><td>'censored'</td><td>80</td><td>9</td><td>52</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>1.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 52.0, 25.0, 80.0, 9.0))</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>11</td><td>'dead'</td><td>70</td><td>11</td><td>48</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 48.0, 11.0, 70.0, 11.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>30</td><td>'dead'</td><td>60</td><td>3</td><td>61</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 61.0, 30.0, 60.0, 3.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>384</td><td>'dead'</td><td>60</td><td>9</td><td>42</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 42.0, 384.0, 60.0, 9.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>4</td><td>'dead'</td><td>40</td><td>2</td><td>35</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 35.0, 4.0, 40.0, 2.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>54</td><td>'dead'</td><td>80</td><td>4</td><td>63</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 63.0, 54.0, 80.0, 4.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>13</td><td>'dead'</td><td>60</td><td>4</td><td>56</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 56.0, 13.0, 60.0, 4.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>123</td><td>'censored'</td><td>40</td><td>3</td><td>55</td><td>'no'</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 55.0, 123.0, 40.0, 3.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>97</td><td>'censored'</td><td>60</td><td>5</td><td>67</td><td>'no'</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 67.0, 97.0, 60.0, 5.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>153</td><td>'dead'</td><td>60</td><td>14</td><td>63</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 63.0, 153.0, 60.0, 14.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>59</td><td>'dead'</td><td>30</td><td>2</td><td>65</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 65.0, 59.0, 30.0, 2.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>117</td><td>'dead'</td><td>80</td><td>3</td><td>46</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 46.0, 117.0, 80.0, 3.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>16</td><td>'dead'</td><td>30</td><td>4</td><td>53</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 53.0, 16.0, 30.0, 4.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>151</td><td>'dead'</td><td>50</td><td>12</td><td>69</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 69.0, 151.0, 50.0, 12.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>22</td><td>'dead'</td><td>60</td><td>4</td><td>68</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 68.0, 22.0, 60.0, 4.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>56</td><td>'dead'</td><td>80</td><td>12</td><td>43</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 43.0, 56.0, 80.0, 12.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>21</td><td>'dead'</td><td>40</td><td>2</td><td>55</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 55.0, 21.0, 40.0, 2.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>18</td><td>'dead'</td><td>20</td><td>15</td><td>42</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 42.0, 18.0, 20.0, 15.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>139</td><td>'dead'</td><td>80</td><td>2</td><td>64</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 64.0, 139.0, 80.0, 2.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>20</td><td>'dead'</td><td>30</td><td>5</td><td>65</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 65.0, 20.0, 30.0, 5.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>31</td><td>'dead'</td><td>75</td><td>3</td><td>65</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 65.0, 31.0, 75.0, 3.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>52</td><td>'dead'</td><td>70</td><td>2</td><td>55</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 55.0, 52.0, 70.0, 2.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>287</td><td>'dead'</td><td>60</td><td>25</td><td>66</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 66.0, 287.0, 60.0, 25.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>18</td><td>'dead'</td><td>30</td><td>4</td><td>60</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 60.0, 18.0, 30.0, 4.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>51</td><td>'dead'</td><td>60</td><td>1</td><td>67</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 67.0, 51.0, 60.0, 1.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>122</td><td>'dead'</td><td>80</td><td>28</td><td>53</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 53.0, 122.0, 80.0, 28.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>27</td><td>'dead'</td><td>60</td><td>8</td><td>62</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 62.0, 27.0, 60.0, 8.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>54</td><td>'dead'</td><td>70</td><td>1</td><td>67</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 67.0, 54.0, 70.0, 1.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>7</td><td>'dead'</td><td>50</td><td>7</td><td>72</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 72.0, 7.0, 50.0, 7.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>63</td><td>'dead'</td><td>50</td><td>11</td><td>48</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 48.0, 63.0, 50.0, 11.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>392</td><td>'dead'</td><td>40</td><td>4</td><td>68</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 68.0, 392.0, 40.0, 4.0))</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>10</td><td>'dead'</td><td>40</td><td>23</td><td>67</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 67.0, 10.0, 40.0, 23.0))</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>8</td><td>'dead'</td><td>20</td><td>19</td><td>61</td><td>'yes'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 0.0, 61.0, 8.0, 20.0, 19.0))</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>92</td><td>'dead'</td><td>70</td><td>10</td><td>60</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 60.0, 92.0, 70.0, 10.0))</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>35</td><td>'dead'</td><td>40</td><td>6</td><td>62</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 62.0, 35.0, 40.0, 6.0))</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>117</td><td>'dead'</td><td>80</td><td>2</td><td>38</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 38.0, 117.0, 80.0, 2.0))</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>132</td><td>'dead'</td><td>80</td><td>5</td><td>50</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 50.0, 132.0, 80.0, 5.0))</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>12</td><td>'dead'</td><td>50</td><td>4</td><td>63</td><td>'yes'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 0.0, 63.0, 12.0, 50.0, 4.0))</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>162</td><td>'dead'</td><td>80</td><td>5</td><td>64</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 64.0, 162.0, 80.0, 5.0))</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>3</td><td>'dead'</td><td>30</td><td>3</td><td>43</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 43.0, 3.0, 30.0, 3.0))</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>95</td><td>'dead'</td><td>80</td><td>4</td><td>34</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 34.0, 95.0, 80.0, 4.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>177</td><td>'dead'</td><td>50</td><td>16</td><td>66</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 0.0, 66.0, 177.0, 50.0, 16.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>162</td><td>'dead'</td><td>80</td><td>5</td><td>62</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 62.0, 162.0, 80.0, 5.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>216</td><td>'dead'</td><td>50</td><td>15</td><td>52</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 52.0, 216.0, 50.0, 15.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>553</td><td>'dead'</td><td>70</td><td>2</td><td>47</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 47.0, 553.0, 70.0, 2.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>278</td><td>'dead'</td><td>60</td><td>12</td><td>63</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 63.0, 278.0, 60.0, 12.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>12</td><td>'dead'</td><td>40</td><td>12</td><td>68</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 0.0, 68.0, 12.0, 40.0, 12.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>260</td><td>'dead'</td><td>80</td><td>5</td><td>45</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 45.0, 260.0, 80.0, 5.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>200</td><td>'dead'</td><td>80</td><td>12</td><td>41</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 0.0, 41.0, 200.0, 80.0, 12.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>156</td><td>'dead'</td><td>70</td><td>2</td><td>66</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 66.0, 156.0, 70.0, 2.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>182</td><td>'censored'</td><td>90</td><td>2</td><td>62</td><td>'no'</td><td>0.0</td><td>3.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 62.0, 182.0, 90.0, 2.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>143</td><td>'dead'</td><td>90</td><td>8</td><td>60</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 60.0, 143.0, 90.0, 8.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>105</td><td>'dead'</td><td>80</td><td>11</td><td>66</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 66.0, 105.0, 80.0, 11.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>103</td><td>'dead'</td><td>80</td><td>5</td><td>38</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 38.0, 103.0, 80.0, 5.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>250</td><td>'dead'</td><td>70</td><td>8</td><td>53</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 0.0, 53.0, 250.0, 70.0, 8.0))</td></tr><tr><td>'standard'</td><td>'large'</td><td>100</td><td>'dead'</td><td>60</td><td>13</td><td>37</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 0.0, 37.0, 100.0, 60.0, 13.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>999</td><td>'dead'</td><td>90</td><td>12</td><td>54</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 54.0, 999.0, 90.0, 12.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>112</td><td>'dead'</td><td>80</td><td>6</td><td>60</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 60.0, 112.0, 80.0, 6.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>87</td><td>'censored'</td><td>80</td><td>3</td><td>48</td><td>'no'</td><td>1.0</td><td>1.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 48.0, 87.0, 80.0, 3.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>231</td><td>'censored'</td><td>50</td><td>8</td><td>52</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>1.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 52.0, 231.0, 50.0, 8.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>242</td><td>'dead'</td><td>50</td><td>1</td><td>70</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 70.0, 242.0, 50.0, 1.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>991</td><td>'dead'</td><td>70</td><td>7</td><td>50</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 50.0, 991.0, 70.0, 7.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>111</td><td>'dead'</td><td>70</td><td>3</td><td>62</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 62.0, 111.0, 70.0, 3.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>1</td><td>'dead'</td><td>20</td><td>21</td><td>65</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 65.0, 1.0, 20.0, 21.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>587</td><td>'dead'</td><td>60</td><td>3</td><td>58</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 58.0, 587.0, 60.0, 3.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>389</td><td>'dead'</td><td>90</td><td>2</td><td>62</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 62.0, 389.0, 90.0, 2.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>33</td><td>'dead'</td><td>30</td><td>6</td><td>64</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 64.0, 33.0, 30.0, 6.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>25</td><td>'dead'</td><td>20</td><td>36</td><td>63</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 63.0, 25.0, 20.0, 36.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>357</td><td>'dead'</td><td>70</td><td>13</td><td>58</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 58.0, 357.0, 70.0, 13.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>467</td><td>'dead'</td><td>90</td><td>2</td><td>64</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 64.0, 467.0, 90.0, 2.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>201</td><td>'dead'</td><td>80</td><td>28</td><td>52</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 52.0, 201.0, 80.0, 28.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>1</td><td>'dead'</td><td>50</td><td>7</td><td>35</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 35.0, 1.0, 50.0, 7.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>30</td><td>'dead'</td><td>70</td><td>11</td><td>63</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 63.0, 30.0, 70.0, 11.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>44</td><td>'dead'</td><td>60</td><td>13</td><td>70</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 70.0, 44.0, 60.0, 13.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>283</td><td>'dead'</td><td>90</td><td>2</td><td>51</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 51.0, 283.0, 90.0, 2.0))</td></tr><tr><td>'test'</td><td>'squamous'</td><td>15</td><td>'dead'</td><td>50</td><td>13</td><td>40</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 40.0, 15.0, 50.0, 13.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>25</td><td>'dead'</td><td>30</td><td>2</td><td>69</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 69.0, 25.0, 30.0, 2.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>103</td><td>'censored'</td><td>70</td><td>22</td><td>36</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>1.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 0.0, 36.0, 103.0, 70.0, 22.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>21</td><td>'dead'</td><td>20</td><td>4</td><td>71</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 71.0, 21.0, 20.0, 4.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>13</td><td>'dead'</td><td>30</td><td>2</td><td>62</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 62.0, 13.0, 30.0, 2.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>87</td><td>'dead'</td><td>60</td><td>2</td><td>60</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 60.0, 87.0, 60.0, 2.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>2</td><td>'dead'</td><td>40</td><td>36</td><td>44</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 0.0, 44.0, 2.0, 40.0, 36.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>20</td><td>'dead'</td><td>30</td><td>9</td><td>54</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 0.0, 54.0, 20.0, 30.0, 9.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>7</td><td>'dead'</td><td>20</td><td>11</td><td>66</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 66.0, 7.0, 20.0, 11.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>24</td><td>'dead'</td><td>60</td><td>8</td><td>49</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 49.0, 24.0, 60.0, 8.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>99</td><td>'dead'</td><td>70</td><td>3</td><td>72</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 72.0, 99.0, 70.0, 3.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>8</td><td>'dead'</td><td>80</td><td>2</td><td>68</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 68.0, 8.0, 80.0, 2.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>99</td><td>'dead'</td><td>85</td><td>4</td><td>62</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 62.0, 99.0, 85.0, 4.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>61</td><td>'dead'</td><td>70</td><td>2</td><td>71</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 71.0, 61.0, 70.0, 2.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>25</td><td>'dead'</td><td>70</td><td>2</td><td>70</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 70.0, 25.0, 70.0, 2.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>95</td><td>'dead'</td><td>70</td><td>1</td><td>61</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 61.0, 95.0, 70.0, 1.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>80</td><td>'dead'</td><td>50</td><td>17</td><td>71</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 71.0, 80.0, 50.0, 17.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>51</td><td>'dead'</td><td>30</td><td>87</td><td>59</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 0.0, 59.0, 51.0, 30.0, 87.0))</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>29</td><td>'dead'</td><td>40</td><td>8</td><td>67</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 67.0, 29.0, 40.0, 8.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>24</td><td>'dead'</td><td>40</td><td>2</td><td>60</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 60.0, 24.0, 40.0, 2.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>18</td><td>'dead'</td><td>40</td><td>5</td><td>69</td><td>'yes'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 0.0, 69.0, 18.0, 40.0, 5.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>83</td><td>'censored'</td><td>99</td><td>3</td><td>57</td><td>'no'</td><td>1.0</td><td>2.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 57.0, 83.0, 99.0, 3.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>31</td><td>'dead'</td><td>80</td><td>3</td><td>39</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 39.0, 31.0, 80.0, 3.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>51</td><td>'dead'</td><td>60</td><td>5</td><td>62</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 62.0, 51.0, 60.0, 5.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>90</td><td>'dead'</td><td>60</td><td>22</td><td>50</td><td>'yes'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 0.0, 50.0, 90.0, 60.0, 22.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>52</td><td>'dead'</td><td>60</td><td>3</td><td>43</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 43.0, 52.0, 60.0, 3.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>73</td><td>'dead'</td><td>60</td><td>3</td><td>70</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 70.0, 73.0, 60.0, 3.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>8</td><td>'dead'</td><td>50</td><td>5</td><td>66</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 66.0, 8.0, 50.0, 5.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>36</td><td>'dead'</td><td>70</td><td>8</td><td>61</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 61.0, 36.0, 70.0, 8.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>48</td><td>'dead'</td><td>10</td><td>4</td><td>81</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 81.0, 48.0, 10.0, 4.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>7</td><td>'dead'</td><td>40</td><td>4</td><td>58</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 58.0, 7.0, 40.0, 4.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>140</td><td>'dead'</td><td>70</td><td>3</td><td>63</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 63.0, 140.0, 70.0, 3.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>186</td><td>'dead'</td><td>90</td><td>3</td><td>60</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 60.0, 186.0, 90.0, 3.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>84</td><td>'dead'</td><td>80</td><td>4</td><td>62</td><td>'yes'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 0.0, 62.0, 84.0, 80.0, 4.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>19</td><td>'dead'</td><td>50</td><td>10</td><td>42</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 42.0, 19.0, 50.0, 10.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>45</td><td>'dead'</td><td>40</td><td>3</td><td>69</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 69.0, 45.0, 40.0, 3.0))</td></tr><tr><td>'test'</td><td>'adeno'</td><td>80</td><td>'dead'</td><td>40</td><td>4</td><td>63</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 63.0, 80.0, 40.0, 4.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>52</td><td>'dead'</td><td>60</td><td>4</td><td>45</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 45.0, 52.0, 60.0, 4.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>164</td><td>'dead'</td><td>70</td><td>15</td><td>68</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(0, 9, List(5, 6, 7, 8), List(68.0, 164.0, 70.0, 15.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>19</td><td>'dead'</td><td>30</td><td>4</td><td>39</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(0, 9, List(5, 6, 7, 8), List(39.0, 19.0, 30.0, 4.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>53</td><td>'dead'</td><td>60</td><td>12</td><td>66</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 66.0, 53.0, 60.0, 12.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>15</td><td>'dead'</td><td>30</td><td>5</td><td>63</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 63.0, 15.0, 30.0, 5.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>43</td><td>'dead'</td><td>60</td><td>11</td><td>49</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(0, 9, List(5, 6, 7, 8), List(49.0, 43.0, 60.0, 11.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>340</td><td>'dead'</td><td>80</td><td>10</td><td>64</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(0, 9, List(5, 6, 7, 8), List(64.0, 340.0, 80.0, 10.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>133</td><td>'dead'</td><td>75</td><td>1</td><td>65</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 65.0, 133.0, 75.0, 1.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>111</td><td>'dead'</td><td>60</td><td>5</td><td>64</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 64.0, 111.0, 60.0, 5.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>231</td><td>'dead'</td><td>70</td><td>18</td><td>67</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(0, 9, List(5, 6, 7, 8), List(67.0, 231.0, 70.0, 18.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>378</td><td>'dead'</td><td>80</td><td>4</td><td>65</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 65.0, 378.0, 80.0, 4.0))</td></tr><tr><td>'test'</td><td>'large'</td><td>49</td><td>'dead'</td><td>30</td><td>3</td><td>37</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 37.0, 49.0, 30.0, 3.0))</td></tr></tbody></table></div>"]}}],"execution_count":50},{"cell_type":"code","source":["from pyspark.ml.regression import AFTSurvivalRegression"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":51},{"cell_type":"code","source":["survival_regression = AFTSurvivalRegression(labelCol='Survival_in_days', censorCol='Status_tf',featuresCol='features')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":52},{"cell_type":"code","source":["survival_regression_model = survival_regression.fit(lung_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":53},{"cell_type":"code","source":["lung_data = survival_regression_model.transform(lung_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":54},{"cell_type":"code","source":["display(lung_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>Treatment</th><th>Celltype</th><th>Survival_in_days</th><th>Status</th><th>Karnofsky_score</th><th>Months_from_Diagnosis</th><th>Age_in_years</th><th>Prior_therapy</th><th>Treatment_tf</th><th>Celltype_tf</th><th>Status_tf</th><th>Prior_therapy_tf</th><th>Treatment_en</th><th>Celltype_en</th><th>Prior_therapy_en</th><th>features</th><th>prediction</th></tr></thead><tbody><tr><td>'standard'</td><td>'squamous'</td><td>72</td><td>'dead'</td><td>60</td><td>7</td><td>69</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 69.0, 72.0, 60.0, 7.0))</td><td>97.54550659115826</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>411</td><td>'dead'</td><td>70</td><td>5</td><td>64</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 64.0, 411.0, 70.0, 5.0))</td><td>1289.2025117349847</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>228</td><td>'dead'</td><td>60</td><td>3</td><td>38</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 38.0, 228.0, 60.0, 3.0))</td><td>287.0067438260255</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>126</td><td>'dead'</td><td>60</td><td>9</td><td>63</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 63.0, 126.0, 60.0, 9.0))</td><td>131.46497776906273</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>118</td><td>'dead'</td><td>70</td><td>11</td><td>65</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 65.0, 118.0, 70.0, 11.0))</td><td>124.26925702333173</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>10</td><td>'dead'</td><td>20</td><td>5</td><td>49</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 49.0, 10.0, 20.0, 5.0))</td><td>56.534579120387335</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>82</td><td>'dead'</td><td>40</td><td>10</td><td>69</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 69.0, 82.0, 40.0, 10.0))</td><td>99.82018712180819</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>110</td><td>'dead'</td><td>80</td><td>29</td><td>68</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 68.0, 110.0, 80.0, 29.0))</td><td>160.54765748794492</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>314</td><td>'dead'</td><td>50</td><td>18</td><td>43</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 43.0, 314.0, 50.0, 18.0))</td><td>717.1988387681024</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>100</td><td>'censored'</td><td>70</td><td>6</td><td>70</td><td>'no'</td><td>0.0</td><td>1.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 70.0, 100.0, 70.0, 6.0))</td><td>119.4238341662238</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>42</td><td>'dead'</td><td>60</td><td>4</td><td>81</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 81.0, 42.0, 60.0, 4.0))</td><td>78.54458803079619</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>8</td><td>'dead'</td><td>40</td><td>58</td><td>63</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 63.0, 8.0, 40.0, 58.0))</td><td>88.06496810473274</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>144</td><td>'dead'</td><td>30</td><td>4</td><td>63</td><td>'no'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 1.0, 63.0, 144.0, 30.0, 4.0))</td><td>176.9613930547302</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>25</td><td>'censored'</td><td>80</td><td>9</td><td>52</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>1.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 52.0, 25.0, 80.0, 9.0))</td><td>51.77402225342254</td></tr><tr><td>'standard'</td><td>'squamous'</td><td>11</td><td>'dead'</td><td>70</td><td>11</td><td>48</td><td>'yes'</td><td>0.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 1.0, 0.0, 0.0, 48.0, 11.0, 70.0, 11.0))</td><td>47.21947540564812</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>30</td><td>'dead'</td><td>60</td><td>3</td><td>61</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 61.0, 30.0, 60.0, 3.0))</td><td>68.0746506185346</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>384</td><td>'dead'</td><td>60</td><td>9</td><td>42</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 42.0, 384.0, 60.0, 9.0))</td><td>1208.0708544609051</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>4</td><td>'dead'</td><td>40</td><td>2</td><td>35</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 35.0, 4.0, 40.0, 2.0))</td><td>49.70778560051325</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>54</td><td>'dead'</td><td>80</td><td>4</td><td>63</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 63.0, 54.0, 80.0, 4.0))</td><td>70.70397354453794</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>13</td><td>'dead'</td><td>60</td><td>4</td><td>56</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 56.0, 13.0, 60.0, 4.0))</td><td>58.30442365808343</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>123</td><td>'censored'</td><td>40</td><td>3</td><td>55</td><td>'no'</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 55.0, 123.0, 40.0, 3.0))</td><td>148.21992141376413</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>97</td><td>'censored'</td><td>60</td><td>5</td><td>67</td><td>'no'</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 67.0, 97.0, 60.0, 5.0))</td><td>124.44862201246215</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>153</td><td>'dead'</td><td>60</td><td>14</td><td>63</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 63.0, 153.0, 60.0, 14.0))</td><td>185.69100755892737</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>59</td><td>'dead'</td><td>30</td><td>2</td><td>65</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 65.0, 59.0, 30.0, 2.0))</td><td>93.3068289594608</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>117</td><td>'dead'</td><td>80</td><td>3</td><td>46</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 46.0, 117.0, 80.0, 3.0))</td><td>123.17517108636754</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>16</td><td>'dead'</td><td>30</td><td>4</td><td>53</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 53.0, 16.0, 30.0, 4.0))</td><td>54.91665471872434</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>151</td><td>'dead'</td><td>50</td><td>12</td><td>69</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 69.0, 151.0, 50.0, 12.0))</td><td>216.03757471973069</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>22</td><td>'dead'</td><td>60</td><td>4</td><td>68</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 68.0, 22.0, 60.0, 4.0))</td><td>66.80506981721813</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>56</td><td>'dead'</td><td>80</td><td>12</td><td>43</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 43.0, 56.0, 80.0, 12.0))</td><td>70.6057139659038</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>21</td><td>'dead'</td><td>40</td><td>2</td><td>55</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 55.0, 21.0, 40.0, 2.0))</td><td>55.343396758284335</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>18</td><td>'dead'</td><td>20</td><td>15</td><td>42</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 42.0, 18.0, 20.0, 15.0))</td><td>69.49940868286127</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>139</td><td>'dead'</td><td>80</td><td>2</td><td>64</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 64.0, 139.0, 80.0, 2.0))</td><td>160.2807842398822</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>20</td><td>'dead'</td><td>30</td><td>5</td><td>65</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 65.0, 20.0, 30.0, 5.0))</td><td>69.923691907234</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>31</td><td>'dead'</td><td>75</td><td>3</td><td>65</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 65.0, 31.0, 75.0, 3.0))</td><td>67.76781806612408</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>52</td><td>'dead'</td><td>70</td><td>2</td><td>55</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 55.0, 52.0, 70.0, 2.0))</td><td>76.50886799102429</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>287</td><td>'dead'</td><td>60</td><td>25</td><td>66</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 66.0, 287.0, 60.0, 25.0))</td><td>638.4555684336874</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>18</td><td>'dead'</td><td>30</td><td>4</td><td>60</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 60.0, 18.0, 30.0, 4.0))</td><td>66.3120632512033</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>51</td><td>'dead'</td><td>60</td><td>1</td><td>67</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 67.0, 51.0, 60.0, 1.0))</td><td>81.68588561951708</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>122</td><td>'dead'</td><td>80</td><td>28</td><td>53</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 53.0, 122.0, 80.0, 28.0))</td><td>173.94069254726605</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>27</td><td>'dead'</td><td>60</td><td>8</td><td>62</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 62.0, 27.0, 60.0, 8.0))</td><td>70.43368866017816</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>54</td><td>'dead'</td><td>70</td><td>1</td><td>67</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 67.0, 54.0, 70.0, 1.0))</td><td>81.87956740554382</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>7</td><td>'dead'</td><td>50</td><td>7</td><td>72</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 72.0, 7.0, 50.0, 7.0))</td><td>63.66241043660123</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>63</td><td>'dead'</td><td>50</td><td>11</td><td>48</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 48.0, 63.0, 50.0, 11.0))</td><td>92.99944734451718</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>392</td><td>'dead'</td><td>40</td><td>4</td><td>68</td><td>'no'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 1.0, 68.0, 392.0, 40.0, 4.0))</td><td>1462.875441743585</td></tr><tr><td>'standard'</td><td>'smallcell'</td><td>10</td><td>'dead'</td><td>40</td><td>23</td><td>67</td><td>'yes'</td><td>0.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 1.0, 0.0, 0.0, 0.0, 67.0, 10.0, 40.0, 23.0))</td><td>67.36758542859823</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>8</td><td>'dead'</td><td>20</td><td>19</td><td>61</td><td>'yes'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 0.0, 61.0, 8.0, 20.0, 19.0))</td><td>74.67794591961949</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>92</td><td>'dead'</td><td>70</td><td>10</td><td>60</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 60.0, 92.0, 70.0, 10.0))</td><td>137.90804015287222</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>35</td><td>'dead'</td><td>40</td><td>6</td><td>62</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 62.0, 35.0, 40.0, 6.0))</td><td>89.33384498738815</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>117</td><td>'dead'</td><td>80</td><td>2</td><td>38</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 38.0, 117.0, 80.0, 2.0))</td><td>135.674832438193</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>132</td><td>'dead'</td><td>80</td><td>5</td><td>50</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 50.0, 132.0, 80.0, 5.0))</td><td>168.6491987591494</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>12</td><td>'dead'</td><td>50</td><td>4</td><td>63</td><td>'yes'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 0.0, 63.0, 12.0, 50.0, 4.0))</td><td>62.107966026177834</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>162</td><td>'dead'</td><td>80</td><td>5</td><td>64</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 64.0, 162.0, 80.0, 5.0))</td><td>232.04142099018637</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>3</td><td>'dead'</td><td>30</td><td>3</td><td>43</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 43.0, 3.0, 30.0, 3.0))</td><td>61.628594407745766</td></tr><tr><td>'standard'</td><td>'adeno'</td><td>95</td><td>'dead'</td><td>80</td><td>4</td><td>34</td><td>'no'</td><td>0.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 1.0, 1.0, 34.0, 95.0, 80.0, 4.0))</td><td>113.30866296579299</td></tr><tr><td>'standard'</td><td>'large'</td><td>177</td><td>'dead'</td><td>50</td><td>16</td><td>66</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 0.0, 66.0, 177.0, 50.0, 16.0))</td><td>271.4791563739599</td></tr><tr><td>'standard'</td><td>'large'</td><td>162</td><td>'dead'</td><td>80</td><td>5</td><td>62</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 62.0, 162.0, 80.0, 5.0))</td><td>223.86507573523684</td></tr><tr><td>'standard'</td><td>'large'</td><td>216</td><td>'dead'</td><td>50</td><td>15</td><td>52</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 52.0, 216.0, 50.0, 15.0))</td><td>394.3400617004058</td></tr><tr><td>'standard'</td><td>'large'</td><td>553</td><td>'dead'</td><td>70</td><td>2</td><td>47</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 47.0, 553.0, 70.0, 2.0))</td><td>5105.1202515610685</td></tr><tr><td>'standard'</td><td>'large'</td><td>278</td><td>'dead'</td><td>60</td><td>12</td><td>63</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 63.0, 278.0, 60.0, 12.0))</td><td>658.1463402062275</td></tr><tr><td>'standard'</td><td>'large'</td><td>12</td><td>'dead'</td><td>40</td><td>12</td><td>68</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 0.0, 68.0, 12.0, 40.0, 12.0))</td><td>69.21481250386124</td></tr><tr><td>'standard'</td><td>'large'</td><td>260</td><td>'dead'</td><td>80</td><td>5</td><td>45</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 45.0, 260.0, 80.0, 5.0))</td><td>458.8464600518123</td></tr><tr><td>'standard'</td><td>'large'</td><td>200</td><td>'dead'</td><td>80</td><td>12</td><td>41</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 0.0, 41.0, 200.0, 80.0, 12.0))</td><td>258.22795112525057</td></tr><tr><td>'standard'</td><td>'large'</td><td>156</td><td>'dead'</td><td>70</td><td>2</td><td>66</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 66.0, 156.0, 70.0, 2.0))</td><td>215.4186969277922</td></tr><tr><td>'standard'</td><td>'large'</td><td>182</td><td>'censored'</td><td>90</td><td>2</td><td>62</td><td>'no'</td><td>0.0</td><td>3.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 62.0, 182.0, 90.0, 2.0))</td><td>249.89412544582686</td></tr><tr><td>'standard'</td><td>'large'</td><td>143</td><td>'dead'</td><td>90</td><td>8</td><td>60</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 60.0, 143.0, 90.0, 8.0))</td><td>191.39302453962466</td></tr><tr><td>'standard'</td><td>'large'</td><td>105</td><td>'dead'</td><td>80</td><td>11</td><td>66</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 66.0, 105.0, 80.0, 11.0))</td><td>152.53773266835836</td></tr><tr><td>'standard'</td><td>'large'</td><td>103</td><td>'dead'</td><td>80</td><td>5</td><td>38</td><td>'no'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 1.0, 38.0, 103.0, 80.0, 5.0))</td><td>121.72668605112611</td></tr><tr><td>'standard'</td><td>'large'</td><td>250</td><td>'dead'</td><td>70</td><td>8</td><td>53</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 0.0, 53.0, 250.0, 70.0, 8.0))</td><td>406.04286355600533</td></tr><tr><td>'standard'</td><td>'large'</td><td>100</td><td>'dead'</td><td>60</td><td>13</td><td>37</td><td>'yes'</td><td>0.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(0), List(1.0))</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(1.0, 0.0, 0.0, 0.0, 0.0, 37.0, 100.0, 60.0, 13.0))</td><td>117.48774054961186</td></tr><tr><td>'test'</td><td>'squamous'</td><td>999</td><td>'dead'</td><td>90</td><td>12</td><td>54</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 54.0, 999.0, 90.0, 12.0))</td><td>155899.67539792057</td></tr><tr><td>'test'</td><td>'squamous'</td><td>112</td><td>'dead'</td><td>80</td><td>6</td><td>60</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 60.0, 112.0, 80.0, 6.0))</td><td>120.28442848805595</td></tr><tr><td>'test'</td><td>'squamous'</td><td>87</td><td>'censored'</td><td>80</td><td>3</td><td>48</td><td>'no'</td><td>1.0</td><td>1.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 48.0, 87.0, 80.0, 3.0))</td><td>89.12936887603402</td></tr><tr><td>'test'</td><td>'squamous'</td><td>231</td><td>'censored'</td><td>50</td><td>8</td><td>52</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>1.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 52.0, 231.0, 50.0, 8.0))</td><td>292.70992000061705</td></tr><tr><td>'test'</td><td>'squamous'</td><td>242</td><td>'dead'</td><td>50</td><td>1</td><td>70</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 70.0, 242.0, 50.0, 1.0))</td><td>373.78722546783143</td></tr><tr><td>'test'</td><td>'squamous'</td><td>991</td><td>'dead'</td><td>70</td><td>7</td><td>50</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 50.0, 991.0, 70.0, 7.0))</td><td>141709.08623531976</td></tr><tr><td>'test'</td><td>'squamous'</td><td>111</td><td>'dead'</td><td>70</td><td>3</td><td>62</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 62.0, 111.0, 70.0, 3.0))</td><td>119.36100616031992</td></tr><tr><td>'test'</td><td>'squamous'</td><td>1</td><td>'dead'</td><td>20</td><td>21</td><td>65</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 65.0, 1.0, 20.0, 21.0))</td><td>58.07596757200966</td></tr><tr><td>'test'</td><td>'squamous'</td><td>587</td><td>'dead'</td><td>60</td><td>3</td><td>58</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 58.0, 587.0, 60.0, 3.0))</td><td>5984.726731819799</td></tr><tr><td>'test'</td><td>'squamous'</td><td>389</td><td>'dead'</td><td>90</td><td>2</td><td>62</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 62.0, 389.0, 90.0, 2.0))</td><td>1110.2109299123636</td></tr><tr><td>'test'</td><td>'squamous'</td><td>33</td><td>'dead'</td><td>30</td><td>6</td><td>64</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 64.0, 33.0, 30.0, 6.0))</td><td>71.70598578265788</td></tr><tr><td>'test'</td><td>'squamous'</td><td>25</td><td>'dead'</td><td>20</td><td>36</td><td>63</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 63.0, 25.0, 20.0, 36.0))</td><td>94.18384139697875</td></tr><tr><td>'test'</td><td>'squamous'</td><td>357</td><td>'dead'</td><td>70</td><td>13</td><td>58</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 58.0, 357.0, 70.0, 13.0))</td><td>983.3216614293531</td></tr><tr><td>'test'</td><td>'squamous'</td><td>467</td><td>'dead'</td><td>90</td><td>2</td><td>64</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 64.0, 467.0, 90.0, 2.0))</td><td>2130.047444068306</td></tr><tr><td>'test'</td><td>'squamous'</td><td>201</td><td>'dead'</td><td>80</td><td>28</td><td>52</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 52.0, 201.0, 80.0, 28.0))</td><td>265.04022369510733</td></tr><tr><td>'test'</td><td>'squamous'</td><td>1</td><td>'dead'</td><td>50</td><td>7</td><td>35</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 35.0, 1.0, 50.0, 7.0))</td><td>45.85657596346349</td></tr><tr><td>'test'</td><td>'squamous'</td><td>30</td><td>'dead'</td><td>70</td><td>11</td><td>63</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 63.0, 30.0, 70.0, 11.0))</td><td>67.16212133145326</td></tr><tr><td>'test'</td><td>'squamous'</td><td>44</td><td>'dead'</td><td>60</td><td>13</td><td>70</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 70.0, 44.0, 60.0, 13.0))</td><td>71.2554333788724</td></tr><tr><td>'test'</td><td>'squamous'</td><td>283</td><td>'dead'</td><td>90</td><td>2</td><td>51</td><td>'no'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 1.0, 51.0, 283.0, 90.0, 2.0))</td><td>438.75356287442037</td></tr><tr><td>'test'</td><td>'squamous'</td><td>15</td><td>'dead'</td><td>50</td><td>13</td><td>40</td><td>'yes'</td><td>1.0</td><td>1.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(1), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 1.0, 0.0, 0.0, 40.0, 15.0, 50.0, 13.0))</td><td>49.14998879602227</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>25</td><td>'dead'</td><td>30</td><td>2</td><td>69</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 69.0, 25.0, 30.0, 2.0))</td><td>70.78615825575177</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>103</td><td>'censored'</td><td>70</td><td>22</td><td>36</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>1.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 0.0, 36.0, 103.0, 70.0, 22.0))</td><td>112.08461326927524</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>21</td><td>'dead'</td><td>20</td><td>4</td><td>71</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 71.0, 21.0, 20.0, 4.0))</td><td>72.3017029451429</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>13</td><td>'dead'</td><td>30</td><td>2</td><td>62</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 62.0, 13.0, 30.0, 2.0))</td><td>61.85414419806355</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>87</td><td>'dead'</td><td>60</td><td>2</td><td>60</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 60.0, 87.0, 60.0, 2.0))</td><td>105.20391592036792</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>2</td><td>'dead'</td><td>40</td><td>36</td><td>44</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 0.0, 44.0, 2.0, 40.0, 36.0))</td><td>63.2548021763749</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>20</td><td>'dead'</td><td>30</td><td>9</td><td>54</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 0.0, 54.0, 20.0, 30.0, 9.0))</td><td>59.14624171040109</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>7</td><td>'dead'</td><td>20</td><td>11</td><td>66</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 66.0, 7.0, 20.0, 11.0))</td><td>67.68392370778336</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>24</td><td>'dead'</td><td>60</td><td>8</td><td>49</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 49.0, 24.0, 60.0, 8.0))</td><td>63.13676647388328</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>99</td><td>'dead'</td><td>70</td><td>3</td><td>72</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 72.0, 99.0, 70.0, 3.0))</td><td>122.12933105225217</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>8</td><td>'dead'</td><td>80</td><td>2</td><td>68</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 68.0, 8.0, 80.0, 2.0))</td><td>54.77615628156524</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>99</td><td>'dead'</td><td>85</td><td>4</td><td>62</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 62.0, 99.0, 85.0, 4.0))</td><td>113.36235905271108</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>61</td><td>'dead'</td><td>70</td><td>2</td><td>71</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 71.0, 61.0, 70.0, 2.0))</td><td>87.95222049311252</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>25</td><td>'dead'</td><td>70</td><td>2</td><td>70</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 70.0, 25.0, 70.0, 2.0))</td><td>65.08276510169074</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>95</td><td>'dead'</td><td>70</td><td>1</td><td>61</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 61.0, 95.0, 70.0, 1.0))</td><td>109.27189343308662</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>80</td><td>'dead'</td><td>50</td><td>17</td><td>71</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 71.0, 80.0, 50.0, 17.0))</td><td>126.24766157972253</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>51</td><td>'dead'</td><td>30</td><td>87</td><td>59</td><td>'yes'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 0.0, 59.0, 51.0, 30.0, 87.0))</td><td>180.58248765052466</td></tr><tr><td>'test'</td><td>'smallcell'</td><td>29</td><td>'dead'</td><td>40</td><td>8</td><td>67</td><td>'no'</td><td>1.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(0), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 1.0, 0.0, 0.0, 1.0, 67.0, 29.0, 40.0, 8.0))</td><td>75.50249038603204</td></tr><tr><td>'test'</td><td>'adeno'</td><td>24</td><td>'dead'</td><td>40</td><td>2</td><td>60</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 60.0, 24.0, 40.0, 2.0))</td><td>76.04581059325182</td></tr><tr><td>'test'</td><td>'adeno'</td><td>18</td><td>'dead'</td><td>40</td><td>5</td><td>69</td><td>'yes'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 0.0, 69.0, 18.0, 40.0, 5.0))</td><td>68.36385696211511</td></tr><tr><td>'test'</td><td>'adeno'</td><td>83</td><td>'censored'</td><td>99</td><td>3</td><td>57</td><td>'no'</td><td>1.0</td><td>2.0</td><td>1.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 57.0, 83.0, 99.0, 3.0))</td><td>107.77234677997659</td></tr><tr><td>'test'</td><td>'adeno'</td><td>31</td><td>'dead'</td><td>80</td><td>3</td><td>39</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 39.0, 31.0, 80.0, 3.0))</td><td>66.80108399833117</td></tr><tr><td>'test'</td><td>'adeno'</td><td>51</td><td>'dead'</td><td>60</td><td>5</td><td>62</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 62.0, 51.0, 60.0, 5.0))</td><td>94.74593073430282</td></tr><tr><td>'test'</td><td>'adeno'</td><td>90</td><td>'dead'</td><td>60</td><td>22</td><td>50</td><td>'yes'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 0.0, 50.0, 90.0, 60.0, 22.0))</td><td>128.4976660244738</td></tr><tr><td>'test'</td><td>'adeno'</td><td>52</td><td>'dead'</td><td>60</td><td>3</td><td>43</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 43.0, 52.0, 60.0, 3.0))</td><td>84.74571104764257</td></tr><tr><td>'test'</td><td>'adeno'</td><td>73</td><td>'dead'</td><td>60</td><td>3</td><td>70</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 70.0, 73.0, 60.0, 3.0))</td><td>115.82126581881134</td></tr><tr><td>'test'</td><td>'adeno'</td><td>8</td><td>'dead'</td><td>50</td><td>5</td><td>66</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 66.0, 8.0, 50.0, 5.0))</td><td>69.45591753801058</td></tr><tr><td>'test'</td><td>'adeno'</td><td>36</td><td>'dead'</td><td>70</td><td>8</td><td>61</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 61.0, 36.0, 70.0, 8.0))</td><td>84.14525904851695</td></tr><tr><td>'test'</td><td>'adeno'</td><td>48</td><td>'dead'</td><td>10</td><td>4</td><td>81</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 81.0, 48.0, 10.0, 4.0))</td><td>112.80297774429016</td></tr><tr><td>'test'</td><td>'adeno'</td><td>7</td><td>'dead'</td><td>40</td><td>4</td><td>58</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 58.0, 7.0, 40.0, 4.0))</td><td>66.86312802447245</td></tr><tr><td>'test'</td><td>'adeno'</td><td>140</td><td>'dead'</td><td>70</td><td>3</td><td>63</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 63.0, 140.0, 70.0, 3.0))</td><td>189.4892443709868</td></tr><tr><td>'test'</td><td>'adeno'</td><td>186</td><td>'dead'</td><td>90</td><td>3</td><td>60</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 60.0, 186.0, 90.0, 3.0))</td><td>260.44275784540434</td></tr><tr><td>'test'</td><td>'adeno'</td><td>84</td><td>'dead'</td><td>80</td><td>4</td><td>62</td><td>'yes'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(), List())</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 0.0, 62.0, 84.0, 80.0, 4.0))</td><td>102.64862523024952</td></tr><tr><td>'test'</td><td>'adeno'</td><td>19</td><td>'dead'</td><td>50</td><td>10</td><td>42</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 42.0, 19.0, 50.0, 10.0))</td><td>70.842198376178</td></tr><tr><td>'test'</td><td>'adeno'</td><td>45</td><td>'dead'</td><td>40</td><td>3</td><td>69</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 69.0, 45.0, 40.0, 3.0))</td><td>95.7051889017659</td></tr><tr><td>'test'</td><td>'adeno'</td><td>80</td><td>'dead'</td><td>40</td><td>4</td><td>63</td><td>'no'</td><td>1.0</td><td>2.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(2), List(1.0))</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 1.0, 1.0, 63.0, 80.0, 40.0, 4.0))</td><td>125.04385235151754</td></tr><tr><td>'test'</td><td>'large'</td><td>52</td><td>'dead'</td><td>60</td><td>4</td><td>45</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 45.0, 52.0, 60.0, 4.0))</td><td>84.36877810311081</td></tr><tr><td>'test'</td><td>'large'</td><td>164</td><td>'dead'</td><td>70</td><td>15</td><td>68</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(0, 9, List(5, 6, 7, 8), List(68.0, 164.0, 70.0, 15.0))</td><td>229.21149943024562</td></tr><tr><td>'test'</td><td>'large'</td><td>19</td><td>'dead'</td><td>30</td><td>4</td><td>39</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(0, 9, List(5, 6, 7, 8), List(39.0, 19.0, 30.0, 4.0))</td><td>58.19795623002445</td></tr><tr><td>'test'</td><td>'large'</td><td>53</td><td>'dead'</td><td>60</td><td>12</td><td>66</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 66.0, 53.0, 60.0, 12.0))</td><td>103.31679725554974</td></tr><tr><td>'test'</td><td>'large'</td><td>15</td><td>'dead'</td><td>30</td><td>5</td><td>63</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 63.0, 15.0, 30.0, 5.0))</td><td>73.83118238752576</td></tr><tr><td>'test'</td><td>'large'</td><td>43</td><td>'dead'</td><td>60</td><td>11</td><td>49</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(0, 9, List(5, 6, 7, 8), List(49.0, 43.0, 60.0, 11.0))</td><td>75.26430447441531</td></tr><tr><td>'test'</td><td>'large'</td><td>340</td><td>'dead'</td><td>80</td><td>10</td><td>64</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(0, 9, List(5, 6, 7, 8), List(64.0, 340.0, 80.0, 10.0))</td><td>884.4784508646263</td></tr><tr><td>'test'</td><td>'large'</td><td>133</td><td>'dead'</td><td>75</td><td>1</td><td>65</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 65.0, 133.0, 75.0, 1.0))</td><td>170.55320459880951</td></tr><tr><td>'test'</td><td>'large'</td><td>111</td><td>'dead'</td><td>60</td><td>5</td><td>64</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 64.0, 111.0, 60.0, 5.0))</td><td>152.82503172653935</td></tr><tr><td>'test'</td><td>'large'</td><td>231</td><td>'dead'</td><td>70</td><td>18</td><td>67</td><td>'yes'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>1.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(), List())</td><td>List(0, 9, List(5, 6, 7, 8), List(67.0, 231.0, 70.0, 18.0))</td><td>408.4674743514288</td></tr><tr><td>'test'</td><td>'large'</td><td>378</td><td>'dead'</td><td>80</td><td>4</td><td>65</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 65.0, 378.0, 80.0, 4.0))</td><td>1305.303384925034</td></tr><tr><td>'test'</td><td>'large'</td><td>49</td><td>'dead'</td><td>30</td><td>3</td><td>37</td><td>'no'</td><td>1.0</td><td>3.0</td><td>0.0</td><td>0.0</td><td>List(0, 1, List(), List())</td><td>List(0, 3, List(), List())</td><td>List(0, 1, List(0), List(1.0))</td><td>List(1, 9, List(), List(0.0, 0.0, 0.0, 0.0, 1.0, 37.0, 49.0, 30.0, 3.0))</td><td>83.5379083848942</td></tr></tbody></table></div>"]}}],"execution_count":55},{"cell_type":"markdown","source":["### Isotonic Regression\n<hr>\n* The isotonic regression finds a non-decreasing approximation of a function while minimizing the mean squared error on the training data. \n* The benefit of such a model is that it does not assume any form for the target function such as linearity.\n<img src=\"https://scikit-learn.org/stable/_images/sphx_glr_plot_isotonic_regression_001.png\">"],"metadata":{}},{"cell_type":"code","source":["import numpy as np\nimport pandas as pd\n\nn = 100\nx = np.arange(n)\ny = np.random.randint(-50, 50, size=(n,)) + 50. * np.log1p(np.arange(n))"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":57},{"cell_type":"code","source":["df = pd.DataFrame({'x':x, 'y':y})\ndata = spark.createDataFrame(df)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":58},{"cell_type":"code","source":["display(data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>x</th><th>y</th><th>features</th></tr></thead><tbody><tr><td>0</td><td>-34.0</td><td>List(1, 1, List(), List(0.0))</td></tr><tr><td>1</td><td>39.657359027997266</td><td>List(1, 1, List(), List(1.0))</td></tr><tr><td>2</td><td>16.93061443340548</td><td>List(1, 1, List(), List(2.0))</td></tr><tr><td>3</td><td>56.31471805599453</td><td>List(1, 1, List(), List(3.0))</td></tr><tr><td>4</td><td>113.47189562170502</td><td>List(1, 1, List(), List(4.0))</td></tr><tr><td>5</td><td>124.58797346140275</td><td>List(1, 1, List(), List(5.0))</td></tr><tr><td>6</td><td>70.29550745276566</td><td>List(1, 1, List(), List(6.0))</td></tr><tr><td>7</td><td>151.9720770839918</td><td>List(1, 1, List(), List(7.0))</td></tr><tr><td>8</td><td>141.86122886681096</td><td>List(1, 1, List(), List(8.0))</td></tr><tr><td>9</td><td>153.1292546497023</td><td>List(1, 1, List(), List(9.0))</td></tr><tr><td>10</td><td>88.89476363991854</td><td>List(1, 1, List(), List(10.0))</td></tr><tr><td>11</td><td>153.24533248940003</td><td>List(1, 1, List(), List(11.0))</td></tr><tr><td>12</td><td>140.24746787307683</td><td>List(1, 1, List(), List(12.0))</td></tr><tr><td>13</td><td>114.95286648076294</td><td>List(1, 1, List(), List(13.0))</td></tr><tr><td>14</td><td>85.4025100551105</td><td>List(1, 1, List(), List(14.0))</td></tr><tr><td>15</td><td>101.62943611198907</td><td>List(1, 1, List(), List(15.0))</td></tr><tr><td>16</td><td>177.6606672028108</td><td>List(1, 1, List(), List(16.0))</td></tr><tr><td>17</td><td>174.51858789480823</td><td>List(1, 1, List(), List(17.0))</td></tr><tr><td>18</td><td>158.221948958322</td><td>List(1, 1, List(), List(18.0))</td></tr><tr><td>19</td><td>178.78661367769953</td><td>List(1, 1, List(), List(19.0))</td></tr><tr><td>20</td><td>179.22612188617114</td><td>List(1, 1, List(), List(20.0))</td></tr><tr><td>21</td><td>118.5521226679158</td><td>List(1, 1, List(), List(21.0))</td></tr><tr><td>22</td><td>194.7747107964575</td><td>List(1, 1, List(), List(22.0))</td></tr><tr><td>23</td><td>160.9026915173973</td><td>List(1, 1, List(), List(23.0))</td></tr><tr><td>24</td><td>159.94379124341003</td><td>List(1, 1, List(), List(24.0))</td></tr><tr><td>25</td><td>138.9048269010741</td><td>List(1, 1, List(), List(25.0))</td></tr><tr><td>26</td><td>187.79184330021644</td><td>List(1, 1, List(), List(26.0))</td></tr><tr><td>27</td><td>214.61022550876018</td><td>List(1, 1, List(), List(27.0))</td></tr><tr><td>28</td><td>122.3647914993237</td><td>List(1, 1, List(), List(28.0))</td></tr><tr><td>29</td><td>214.05986908310777</td><td>List(1, 1, List(), List(29.0))</td></tr><tr><td>30</td><td>204.6993602242573</td><td>List(1, 1, List(), List(30.0))</td></tr><tr><td>31</td><td>150.28679513998634</td><td>List(1, 1, List(), List(31.0))</td></tr><tr><td>32</td><td>162.825378073324</td><td>List(1, 1, List(), List(32.0))</td></tr><tr><td>33</td><td>175.31802623080807</td><td>List(1, 1, List(), List(33.0))</td></tr><tr><td>34</td><td>193.76740307447068</td><td>List(1, 1, List(), List(34.0))</td></tr><tr><td>35</td><td>211.1759469228055</td><td>List(1, 1, List(), List(35.0))</td></tr><tr><td>36</td><td>192.54589563221123</td><td>List(1, 1, List(), List(36.0))</td></tr><tr><td>37</td><td>171.87930798631928</td><td>List(1, 1, List(), List(37.0))</td></tr><tr><td>38</td><td>152.1780823064823</td><td>List(1, 1, List(), List(38.0))</td></tr><tr><td>39</td><td>171.4439727056968</td><td>List(1, 1, List(), List(39.0))</td></tr><tr><td>40</td><td>233.6786033352154</td><td>List(1, 1, List(), List(40.0))</td></tr><tr><td>41</td><td>139.88348091416842</td><td>List(1, 1, List(), List(41.0))</td></tr><tr><td>42</td><td>236.0600057846781</td><td>List(1, 1, List(), List(42.0))</td></tr><tr><td>43</td><td>190.20948169591304</td><td>List(1, 1, List(), List(43.0))</td></tr><tr><td>44</td><td>196.33312448851598</td><td>List(1, 1, List(), List(44.0))</td></tr><tr><td>45</td><td>148.43206982445474</td><td>List(1, 1, List(), List(45.0))</td></tr><tr><td>46</td><td>196.50738008550292</td><td>List(1, 1, List(), List(46.0))</td></tr><tr><td>47</td><td>160.56005054539455</td><td>List(1, 1, List(), List(47.0))</td></tr><tr><td>48</td><td>199.59101490553132</td><td>List(1, 1, List(), List(48.0))</td></tr><tr><td>49</td><td>185.6011502714073</td><td>List(1, 1, List(), List(49.0))</td></tr><tr><td>50</td><td>172.59128163621628</td><td>List(1, 1, List(), List(50.0))</td></tr><tr><td>51</td><td>153.56218592907138</td><td>List(1, 1, List(), List(51.0))</td></tr><tr><td>52</td><td>216.5145956776061</td><td>List(1, 1, List(), List(52.0))</td></tr><tr><td>53</td><td>158.44920232821372</td><td>List(1, 1, List(), List(53.0))</td></tr><tr><td>54</td><td>152.36665926162357</td><td>List(1, 1, List(), List(54.0))</td></tr><tr><td>55</td><td>234.26758453675748</td><td>List(1, 1, List(), List(55.0))</td></tr><tr><td>56</td><td>197.1525633917275</td><td>List(1, 1, List(), List(56.0))</td></tr><tr><td>57</td><td>206.02215052732095</td><td>List(1, 1, List(), List(57.0))</td></tr><tr><td>58</td><td>183.87687219528598</td><td>List(1, 1, List(), List(58.0))</td></tr><tr><td>59</td><td>211.71722811110502</td><td>List(1, 1, List(), List(59.0))</td></tr><tr><td>60</td><td>215.54369320866556</td><td>List(1, 1, List(), List(60.0))</td></tr><tr><td>61</td><td>176.35671925225458</td><td>List(1, 1, List(), List(61.0))</td></tr><tr><td>62</td><td>182.15673631957662</td><td>List(1, 1, List(), List(62.0))</td></tr><tr><td>63</td><td>200.94415416798358</td><td>List(1, 1, List(), List(63.0))</td></tr><tr><td>64</td><td>235.71936349478185</td><td>List(1, 1, List(), List(64.0))</td></tr><tr><td>65</td><td>192.48273710132125</td><td>List(1, 1, List(), List(65.0))</td></tr><tr><td>66</td><td>216.23463096954828</td><td>List(1, 1, List(), List(66.0))</td></tr><tr><td>67</td><td>246.97538525880535</td><td>List(1, 1, List(), List(67.0))</td></tr><tr><td>68</td><td>165.70532522986298</td><td>List(1, 1, List(), List(68.0))</td></tr><tr><td>69</td><td>239.42476210246798</td><td>List(1, 1, List(), List(69.0))</td></tr><tr><td>70</td><td>211.13399385206577</td><td>List(1, 1, List(), List(70.0))</td></tr><tr><td>71</td><td>210.83330595080275</td><td>List(1, 1, List(), List(71.0))</td></tr><tr><td>72</td><td>250.52297205741954</td><td>List(1, 1, List(), List(72.0))</td></tr><tr><td>73</td><td>229.20325466020847</td><td>List(1, 1, List(), List(73.0))</td></tr><tr><td>74</td><td>236.8744056768155</td><td>List(1, 1, List(), List(74.0))</td></tr><tr><td>75</td><td>225.53666701431655</td><td>List(1, 1, List(), List(75.0))</td></tr><tr><td>76</td><td>243.1902710926842</td><td>List(1, 1, List(), List(76.0))</td></tr><tr><td>77</td><td>233.83544133447958</td><td>List(1, 1, List(), List(77.0))</td></tr><tr><td>78</td><td>252.47239262335108</td><td>List(1, 1, List(), List(78.0))</td></tr><tr><td>79</td><td>173.10133173369405</td><td>List(1, 1, List(), List(79.0))</td></tr><tr><td>80</td><td>176.72245773362195</td><td>List(1, 1, List(), List(80.0))</td></tr><tr><td>81</td><td>228.33596236321267</td><td>List(1, 1, List(), List(81.0))</td></tr><tr><td>82</td><td>172.9420303898299</td><td>List(1, 1, List(), List(82.0))</td></tr><tr><td>83</td><td>212.54083994216566</td><td>List(1, 1, List(), List(83.0))</td></tr><tr><td>84</td><td>214.13256282451584</td><td>List(1, 1, List(), List(84.0))</td></tr><tr><td>85</td><td>179.71736481267536</td><td>List(1, 1, List(), List(85.0))</td></tr><tr><td>86</td><td>190.29540593272918</td><td>List(1, 1, List(), List(86.0))</td></tr><tr><td>87</td><td>201.86684072391034</td><td>List(1, 1, List(), List(87.0))</td></tr><tr><td>88</td><td>255.43181848660697</td><td>List(1, 1, List(), List(88.0))</td></tr><tr><td>89</td><td>246.99048351651325</td><td>List(1, 1, List(), List(89.0))</td></tr><tr><td>90</td><td>208.5429753258425</td><td>List(1, 1, List(), List(90.0))</td></tr><tr><td>91</td><td>206.08942885245202</td><td>List(1, 1, List(), List(91.0))</td></tr><tr><td>92</td><td>233.6299746576628</td><td>List(1, 1, List(), List(92.0))</td></tr><tr><td>93</td><td>179.1647391135002</td><td>List(1, 1, List(), List(93.0))</td></tr><tr><td>94</td><td>262.6938445800271</td><td>List(1, 1, List(), List(94.0))</td></tr><tr><td>95</td><td>217.21740957339182</td><td>List(1, 1, List(), List(95.0))</td></tr><tr><td>96</td><td>254.73554892516916</td><td>List(1, 1, List(), List(96.0))</td></tr><tr><td>97</td><td>191.24837393352863</td><td>List(1, 1, List(), List(97.0))</td></tr><tr><td>98</td><td>221.75599250672948</td><td>List(1, 1, List(), List(98.0))</td></tr><tr><td>99</td><td>241.25850929940458</td><td>List(1, 1, List(), List(99.0))</td></tr></tbody></table></div>"]}}],"execution_count":59},{"cell_type":"code","source":["from pyspark.ml.regression import IsotonicRegression\niso_regress = IsotonicRegression(featuresCol='features', labelCol='y')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":60},{"cell_type":"code","source":["va = VectorAssembler(inputCols=['x'],outputCol='features')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":61},{"cell_type":"code","source":["data = va.transform(data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":62},{"cell_type":"code","source":["iso_regress_model = iso_regress.fit(data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":63},{"cell_type":"code","source":["result = iso_regress_model.transform(data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":64},{"cell_type":"code","source":["display(result)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>x</th><th>y</th><th>features</th><th>prediction</th></tr></thead><tbody><tr><td>0</td><td>-34.0</td><td>List(1, 1, List(), List(0.0))</td><td>-34.0</td></tr><tr><td>1</td><td>39.657359027997266</td><td>List(1, 1, List(), List(1.0))</td><td>28.293986730701373</td></tr><tr><td>2</td><td>16.93061443340548</td><td>List(1, 1, List(), List(2.0))</td><td>28.293986730701373</td></tr><tr><td>3</td><td>56.31471805599453</td><td>List(1, 1, List(), List(3.0))</td><td>56.31471805599453</td></tr><tr><td>4</td><td>113.47189562170502</td><td>List(1, 1, List(), List(4.0))</td><td>102.78512551195782</td></tr><tr><td>5</td><td>124.58797346140275</td><td>List(1, 1, List(), List(5.0))</td><td>102.78512551195782</td></tr><tr><td>6</td><td>70.29550745276566</td><td>List(1, 1, List(), List(6.0))</td><td>102.78512551195782</td></tr><tr><td>7</td><td>151.9720770839918</td><td>List(1, 1, List(), List(7.0))</td><td>125.70388191675141</td></tr><tr><td>8</td><td>141.86122886681096</td><td>List(1, 1, List(), List(8.0))</td><td>125.70388191675141</td></tr><tr><td>9</td><td>153.1292546497023</td><td>List(1, 1, List(), List(9.0))</td><td>125.70388191675141</td></tr><tr><td>10</td><td>88.89476363991854</td><td>List(1, 1, List(), List(10.0))</td><td>125.70388191675141</td></tr><tr><td>11</td><td>153.24533248940003</td><td>List(1, 1, List(), List(11.0))</td><td>125.70388191675141</td></tr><tr><td>12</td><td>140.24746787307683</td><td>List(1, 1, List(), List(12.0))</td><td>125.70388191675141</td></tr><tr><td>13</td><td>114.95286648076294</td><td>List(1, 1, List(), List(13.0))</td><td>125.70388191675141</td></tr><tr><td>14</td><td>85.4025100551105</td><td>List(1, 1, List(), List(14.0))</td><td>125.70388191675141</td></tr><tr><td>15</td><td>101.62943611198907</td><td>List(1, 1, List(), List(15.0))</td><td>125.70388191675141</td></tr><tr><td>16</td><td>177.6606672028108</td><td>List(1, 1, List(), List(16.0))</td><td>164.14920827460665</td></tr><tr><td>17</td><td>174.51858789480823</td><td>List(1, 1, List(), List(17.0))</td><td>164.14920827460665</td></tr><tr><td>18</td><td>158.221948958322</td><td>List(1, 1, List(), List(18.0))</td><td>164.14920827460665</td></tr><tr><td>19</td><td>178.78661367769953</td><td>List(1, 1, List(), List(19.0))</td><td>164.14920827460665</td></tr><tr><td>20</td><td>179.22612188617114</td><td>List(1, 1, List(), List(20.0))</td><td>164.14920827460665</td></tr><tr><td>21</td><td>118.5521226679158</td><td>List(1, 1, List(), List(21.0))</td><td>164.14920827460665</td></tr><tr><td>22</td><td>194.7747107964575</td><td>List(1, 1, List(), List(22.0))</td><td>164.14920827460665</td></tr><tr><td>23</td><td>160.9026915173973</td><td>List(1, 1, List(), List(23.0))</td><td>164.14920827460665</td></tr><tr><td>24</td><td>159.94379124341003</td><td>List(1, 1, List(), List(24.0))</td><td>164.14920827460665</td></tr><tr><td>25</td><td>138.9048269010741</td><td>List(1, 1, List(), List(25.0))</td><td>164.14920827460665</td></tr><tr><td>26</td><td>187.79184330021644</td><td>List(1, 1, List(), List(26.0))</td><td>174.92228676943344</td></tr><tr><td>27</td><td>214.61022550876018</td><td>List(1, 1, List(), List(27.0))</td><td>174.92228676943344</td></tr><tr><td>28</td><td>122.3647914993237</td><td>List(1, 1, List(), List(28.0))</td><td>174.92228676943344</td></tr><tr><td>29</td><td>214.05986908310777</td><td>List(1, 1, List(), List(29.0))</td><td>181.43788575029672</td></tr><tr><td>30</td><td>204.6993602242573</td><td>List(1, 1, List(), List(30.0))</td><td>181.43788575029672</td></tr><tr><td>31</td><td>150.28679513998634</td><td>List(1, 1, List(), List(31.0))</td><td>181.43788575029672</td></tr><tr><td>32</td><td>162.825378073324</td><td>List(1, 1, List(), List(32.0))</td><td>181.43788575029672</td></tr><tr><td>33</td><td>175.31802623080807</td><td>List(1, 1, List(), List(33.0))</td><td>181.43788575029672</td></tr><tr><td>34</td><td>193.76740307447068</td><td>List(1, 1, List(), List(34.0))</td><td>182.1651014379976</td></tr><tr><td>35</td><td>211.1759469228055</td><td>List(1, 1, List(), List(35.0))</td><td>182.1651014379976</td></tr><tr><td>36</td><td>192.54589563221123</td><td>List(1, 1, List(), List(36.0))</td><td>182.1651014379976</td></tr><tr><td>37</td><td>171.87930798631928</td><td>List(1, 1, List(), List(37.0))</td><td>182.1651014379976</td></tr><tr><td>38</td><td>152.1780823064823</td><td>List(1, 1, List(), List(38.0))</td><td>182.1651014379976</td></tr><tr><td>39</td><td>171.4439727056968</td><td>List(1, 1, List(), List(39.0))</td><td>182.1651014379976</td></tr><tr><td>40</td><td>233.6786033352154</td><td>List(1, 1, List(), List(40.0))</td><td>182.68935244556752</td></tr><tr><td>41</td><td>139.88348091416842</td><td>List(1, 1, List(), List(41.0))</td><td>182.68935244556752</td></tr><tr><td>42</td><td>236.0600057846781</td><td>List(1, 1, List(), List(42.0))</td><td>182.68935244556752</td></tr><tr><td>43</td><td>190.20948169591304</td><td>List(1, 1, List(), List(43.0))</td><td>182.68935244556752</td></tr><tr><td>44</td><td>196.33312448851598</td><td>List(1, 1, List(), List(44.0))</td><td>182.68935244556752</td></tr><tr><td>45</td><td>148.43206982445474</td><td>List(1, 1, List(), List(45.0))</td><td>182.68935244556752</td></tr><tr><td>46</td><td>196.50738008550292</td><td>List(1, 1, List(), List(46.0))</td><td>182.68935244556752</td></tr><tr><td>47</td><td>160.56005054539455</td><td>List(1, 1, List(), List(47.0))</td><td>182.68935244556752</td></tr><tr><td>48</td><td>199.59101490553132</td><td>List(1, 1, List(), List(48.0))</td><td>182.68935244556752</td></tr><tr><td>49</td><td>185.6011502714073</td><td>List(1, 1, List(), List(49.0))</td><td>182.68935244556752</td></tr><tr><td>50</td><td>172.59128163621628</td><td>List(1, 1, List(), List(50.0))</td><td>182.68935244556752</td></tr><tr><td>51</td><td>153.56218592907138</td><td>List(1, 1, List(), List(51.0))</td><td>182.68935244556752</td></tr><tr><td>52</td><td>216.5145956776061</td><td>List(1, 1, List(), List(52.0))</td><td>182.68935244556752</td></tr><tr><td>53</td><td>158.44920232821372</td><td>List(1, 1, List(), List(53.0))</td><td>182.68935244556752</td></tr><tr><td>54</td><td>152.36665926162357</td><td>List(1, 1, List(), List(54.0))</td><td>182.68935244556752</td></tr><tr><td>55</td><td>234.26758453675748</td><td>List(1, 1, List(), List(55.0))</td><td>200.8866934428367</td></tr><tr><td>56</td><td>197.1525633917275</td><td>List(1, 1, List(), List(56.0))</td><td>200.8866934428367</td></tr><tr><td>57</td><td>206.02215052732095</td><td>List(1, 1, List(), List(57.0))</td><td>200.8866934428367</td></tr><tr><td>58</td><td>183.87687219528598</td><td>List(1, 1, List(), List(58.0))</td><td>200.8866934428367</td></tr><tr><td>59</td><td>211.71722811110502</td><td>List(1, 1, List(), List(59.0))</td><td>200.8866934428367</td></tr><tr><td>60</td><td>215.54369320866556</td><td>List(1, 1, List(), List(60.0))</td><td>200.8866934428367</td></tr><tr><td>61</td><td>176.35671925225458</td><td>List(1, 1, List(), List(61.0))</td><td>200.8866934428367</td></tr><tr><td>62</td><td>182.15673631957662</td><td>List(1, 1, List(), List(62.0))</td><td>200.8866934428367</td></tr><tr><td>63</td><td>200.94415416798358</td><td>List(1, 1, List(), List(63.0))</td><td>200.94415416798358</td></tr><tr><td>64</td><td>235.71936349478185</td><td>List(1, 1, List(), List(64.0))</td><td>211.4234884108639</td></tr><tr><td>65</td><td>192.48273710132125</td><td>List(1, 1, List(), List(65.0))</td><td>211.4234884108639</td></tr><tr><td>66</td><td>216.23463096954828</td><td>List(1, 1, List(), List(66.0))</td><td>211.4234884108639</td></tr><tr><td>67</td><td>246.97538525880535</td><td>List(1, 1, List(), List(67.0))</td><td>211.4234884108639</td></tr><tr><td>68</td><td>165.70532522986298</td><td>List(1, 1, List(), List(68.0))</td><td>211.4234884108639</td></tr><tr><td>69</td><td>239.42476210246798</td><td>List(1, 1, List(), List(69.0))</td><td>214.87801383268246</td></tr><tr><td>70</td><td>211.13399385206577</td><td>List(1, 1, List(), List(70.0))</td><td>214.87801383268246</td></tr><tr><td>71</td><td>210.83330595080275</td><td>List(1, 1, List(), List(71.0))</td><td>214.87801383268246</td></tr><tr><td>72</td><td>250.52297205741954</td><td>List(1, 1, List(), List(72.0))</td><td>214.87801383268246</td></tr><tr><td>73</td><td>229.20325466020847</td><td>List(1, 1, List(), List(73.0))</td><td>214.87801383268246</td></tr><tr><td>74</td><td>236.8744056768155</td><td>List(1, 1, List(), List(74.0))</td><td>214.87801383268246</td></tr><tr><td>75</td><td>225.53666701431655</td><td>List(1, 1, List(), List(75.0))</td><td>214.87801383268246</td></tr><tr><td>76</td><td>243.1902710926842</td><td>List(1, 1, List(), List(76.0))</td><td>214.87801383268246</td></tr><tr><td>77</td><td>233.83544133447958</td><td>List(1, 1, List(), List(77.0))</td><td>214.87801383268246</td></tr><tr><td>78</td><td>252.47239262335108</td><td>List(1, 1, List(), List(78.0))</td><td>214.87801383268246</td></tr><tr><td>79</td><td>173.10133173369405</td><td>List(1, 1, List(), List(79.0))</td><td>214.87801383268246</td></tr><tr><td>80</td><td>176.72245773362195</td><td>List(1, 1, List(), List(80.0))</td><td>214.87801383268246</td></tr><tr><td>81</td><td>228.33596236321267</td><td>List(1, 1, List(), List(81.0))</td><td>214.87801383268246</td></tr><tr><td>82</td><td>172.9420303898299</td><td>List(1, 1, List(), List(82.0))</td><td>214.87801383268246</td></tr><tr><td>83</td><td>212.54083994216566</td><td>List(1, 1, List(), List(83.0))</td><td>214.87801383268246</td></tr><tr><td>84</td><td>214.13256282451584</td><td>List(1, 1, List(), List(84.0))</td><td>214.87801383268246</td></tr><tr><td>85</td><td>179.71736481267536</td><td>List(1, 1, List(), List(85.0))</td><td>214.87801383268246</td></tr><tr><td>86</td><td>190.29540593272918</td><td>List(1, 1, List(), List(86.0))</td><td>214.87801383268246</td></tr><tr><td>87</td><td>201.86684072391034</td><td>List(1, 1, List(), List(87.0))</td><td>214.87801383268246</td></tr><tr><td>88</td><td>255.43181848660697</td><td>List(1, 1, List(), List(88.0))</td><td>221.64156999209627</td></tr><tr><td>89</td><td>246.99048351651325</td><td>List(1, 1, List(), List(89.0))</td><td>221.64156999209627</td></tr><tr><td>90</td><td>208.5429753258425</td><td>List(1, 1, List(), List(90.0))</td><td>221.64156999209627</td></tr><tr><td>91</td><td>206.08942885245202</td><td>List(1, 1, List(), List(91.0))</td><td>221.64156999209627</td></tr><tr><td>92</td><td>233.6299746576628</td><td>List(1, 1, List(), List(92.0))</td><td>221.64156999209627</td></tr><tr><td>93</td><td>179.1647391135002</td><td>List(1, 1, List(), List(93.0))</td><td>221.64156999209627</td></tr><tr><td>94</td><td>262.6938445800271</td><td>List(1, 1, List(), List(94.0))</td><td>229.53023390376921</td></tr><tr><td>95</td><td>217.21740957339182</td><td>List(1, 1, List(), List(95.0))</td><td>229.53023390376921</td></tr><tr><td>96</td><td>254.73554892516916</td><td>List(1, 1, List(), List(96.0))</td><td>229.53023390376921</td></tr><tr><td>97</td><td>191.24837393352863</td><td>List(1, 1, List(), List(97.0))</td><td>229.53023390376921</td></tr><tr><td>98</td><td>221.75599250672948</td><td>List(1, 1, List(), List(98.0))</td><td>229.53023390376921</td></tr><tr><td>99</td><td>241.25850929940458</td><td>List(1, 1, List(), List(99.0))</td><td>241.25850929940458</td></tr></tbody></table></div>"]}}],"execution_count":65},{"cell_type":"markdown","source":["### Decision Trees for Regression\n<hr>\n* Feature data can be categorical or continues\n* Don't require feature scaling\n* Highly interpretable\n* Target can be non-linearly related to features\n* Entropy & Gini calculation can be distributed & parallelized\n\n<hr>"],"metadata":{}},{"cell_type":"code","source":["from pyspark.ml.regression import DecisionTreeRegressor"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":67},{"cell_type":"code","source":["house_data = spark.read.csv('/FileStore/tables/house_rental_data.csv', inferSchema=True,header=True)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":68},{"cell_type":"code","source":["house_data = house_data.withColumnRenamed('Living.Room','LivingRoom')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":69},{"cell_type":"code","source":["display(house_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>_c0</th><th>Sqft</th><th>Floor</th><th>TotalFloor</th><th>Bedroom</th><th>LivingRoom</th><th>Bathroom</th><th>Price</th></tr></thead><tbody><tr><td>1</td><td>1177.698</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>62000</td></tr><tr><td>2</td><td>2134.8</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td></tr><tr><td>3</td><td>1138.56</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>58000</td></tr><tr><td>4</td><td>1458.78</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>5</td><td>967.776</td><td>11</td><td>14</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>6</td><td>1127.886</td><td>11</td><td>12</td><td>4</td><td>2</td><td>2</td><td>148000</td></tr><tr><td>7</td><td>1352.04</td><td>5</td><td>7</td><td>3</td><td>2</td><td>1</td><td>58000</td></tr><tr><td>8</td><td>757.854</td><td>5</td><td>14</td><td>1</td><td>0</td><td>1</td><td>48000</td></tr><tr><td>9</td><td>1152.792</td><td>10</td><td>12</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>10</td><td>1423.2</td><td>4</td><td>5</td><td>4</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>11</td><td>668.904</td><td>4</td><td>11</td><td>1</td><td>1</td><td>1</td><td>31000</td></tr><tr><td>12</td><td>711.6</td><td>4</td><td>7</td><td>2</td><td>1</td><td>1</td><td>29002</td></tr><tr><td>13</td><td>1352.04</td><td>9</td><td>19</td><td>4</td><td>2</td><td>2</td><td>39000</td></tr><tr><td>14</td><td>818.34</td><td>4</td><td>13</td><td>2</td><td>2</td><td>1</td><td>48000</td></tr><tr><td>15</td><td>2134.8</td><td>10</td><td>19</td><td>3</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>16</td><td>2768.124</td><td>6</td><td>19</td><td>3</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>17</td><td>711.6</td><td>5</td><td>13</td><td>2</td><td>2</td><td>1</td><td>48000</td></tr><tr><td>18</td><td>462.54</td><td>5</td><td>13</td><td>1</td><td>1</td><td>1</td><td>25000</td></tr><tr><td>19</td><td>2739.66</td><td>6</td><td>19</td><td>3</td><td>2</td><td>2</td><td>90000</td></tr><tr><td>20</td><td>1174.14</td><td>3</td><td>9</td><td>3</td><td>2</td><td>1</td><td>33000</td></tr><tr><td>21</td><td>2490.6</td><td>19</td><td>21</td><td>5</td><td>3</td><td>4</td><td>140000</td></tr><tr><td>22</td><td>2768.124</td><td>6</td><td>19</td><td>3</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>23</td><td>747.18</td><td>7</td><td>15</td><td>2</td><td>2</td><td>1</td><td>55000</td></tr><tr><td>24</td><td>1668.702</td><td>4</td><td>12</td><td>3</td><td>2</td><td>2</td><td>105000</td></tr><tr><td>25</td><td>3664.74</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td></tr><tr><td>26</td><td>1779.0</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>98000</td></tr><tr><td>27</td><td>3664.74</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td></tr><tr><td>28</td><td>3059.88</td><td>21</td><td>24</td><td>4</td><td>2</td><td>3</td><td>145000</td></tr><tr><td>29</td><td>533.7</td><td>3</td><td>4</td><td>1</td><td>1</td><td>1</td><td>25000</td></tr><tr><td>30</td><td>853.92</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>24028</td></tr><tr><td>31</td><td>1732.746</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>32</td><td>1245.3</td><td>10</td><td>12</td><td>3</td><td>0</td><td>0</td><td>85000</td></tr><tr><td>33</td><td>2134.8</td><td>10</td><td>19</td><td>3</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>34</td><td>1206.162</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td></tr><tr><td>35</td><td>861.036</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>46000</td></tr><tr><td>36</td><td>462.54</td><td>3</td><td>4</td><td>1</td><td>1</td><td>1</td><td>52000</td></tr><tr><td>37</td><td>434.076</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>43500</td></tr><tr><td>38</td><td>768.528</td><td>4</td><td>4</td><td>3</td><td>2</td><td>2</td><td>60000</td></tr><tr><td>39</td><td>3735.9</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td></tr><tr><td>40</td><td>889.5</td><td>6</td><td>7</td><td>3</td><td>2</td><td>1</td><td>36000</td></tr><tr><td>41</td><td>3063.438</td><td>21</td><td>24</td><td>5</td><td>2</td><td>4</td><td>145000</td></tr><tr><td>42</td><td>925.08</td><td>10</td><td>14</td><td>2</td><td>1</td><td>1</td><td>48000</td></tr><tr><td>43</td><td>1174.14</td><td>2</td><td>14</td><td>3</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>44</td><td>1352.04</td><td>1</td><td>4</td><td>4</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>45</td><td>1771.884</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>46</td><td>1601.1</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>47</td><td>1487.244</td><td>2</td><td>6</td><td>2</td><td>2</td><td>2</td><td>47999</td></tr><tr><td>48</td><td>2277.12</td><td>2</td><td>25</td><td>3</td><td>2</td><td>2</td><td>80000</td></tr><tr><td>49</td><td>3735.9</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td></tr><tr><td>50</td><td>711.6</td><td>4</td><td>7</td><td>2</td><td>1</td><td>1</td><td>24030</td></tr><tr><td>51</td><td>2241.54</td><td>7</td><td>13</td><td>4</td><td>2</td><td>2</td><td>76000</td></tr><tr><td>52</td><td>1494.36</td><td>1</td><td>5</td><td>2</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>53</td><td>711.6</td><td>2</td><td>3</td><td>2</td><td>2</td><td>1</td><td>32500</td></tr><tr><td>54</td><td>889.5</td><td>2</td><td>6</td><td>2</td><td>2</td><td>1</td><td>30032</td></tr><tr><td>55</td><td>4643.19</td><td>1</td><td>6</td><td>5</td><td>4</td><td>4</td><td>180000</td></tr><tr><td>56</td><td>2191.728</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>80000</td></tr><tr><td>57</td><td>640.44</td><td>5</td><td>7</td><td>1</td><td>1</td><td>1</td><td>36000</td></tr><tr><td>58</td><td>1067.4</td><td>12</td><td>12</td><td>3</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>59</td><td>640.44</td><td>2</td><td>6</td><td>2</td><td>2</td><td>1</td><td>29032</td></tr><tr><td>60</td><td>1362.714</td><td>1</td><td>7</td><td>3</td><td>2</td><td>2</td><td>43000</td></tr><tr><td>61</td><td>604.86</td><td>6</td><td>10</td><td>2</td><td>1</td><td>1</td><td>30000</td></tr><tr><td>62</td><td>889.5</td><td>2</td><td>4</td><td>4</td><td>1</td><td>1</td><td>32000</td></tr><tr><td>63</td><td>1423.2</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>64</td><td>1184.814</td><td>2</td><td>9</td><td>3</td><td>2</td><td>2</td><td>49000</td></tr><tr><td>65</td><td>391.38</td><td>5</td><td>7</td><td>1</td><td>1</td><td>1</td><td>27500</td></tr><tr><td>66</td><td>426.96</td><td>5</td><td>13</td><td>1</td><td>1</td><td>1</td><td>23000</td></tr><tr><td>67</td><td>1067.4</td><td>4</td><td>5</td><td>3</td><td>2</td><td>1</td><td>33500</td></tr><tr><td>68</td><td>533.7</td><td>2</td><td>7</td><td>2</td><td>1</td><td>1</td><td>26000</td></tr><tr><td>69</td><td>462.54</td><td>6</td><td>14</td><td>1</td><td>1</td><td>1</td><td>27500</td></tr><tr><td>70</td><td>1270.206</td><td>6</td><td>8</td><td>3</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>71</td><td>889.5</td><td>8</td><td>12</td><td>2</td><td>1</td><td>1</td><td>25000</td></tr><tr><td>72</td><td>1284.438</td><td>6</td><td>12</td><td>3</td><td>2</td><td>2</td><td>41000</td></tr><tr><td>73</td><td>1892.856</td><td>2</td><td>7</td><td>4</td><td>2</td><td>3</td><td>90000</td></tr><tr><td>74</td><td>996.24</td><td>2</td><td>4</td><td>3</td><td>2</td><td>1</td><td>26000</td></tr><tr><td>75</td><td>711.6</td><td>4</td><td>7</td><td>2</td><td>2</td><td>1</td><td>38000</td></tr><tr><td>76</td><td>1754.094</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>77</td><td>2063.64</td><td>7</td><td>24</td><td>3</td><td>2</td><td>1</td><td>56000</td></tr><tr><td>78</td><td>1522.824</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>40000</td></tr><tr><td>79</td><td>1540.614</td><td>6</td><td>14</td><td>4</td><td>2</td><td>2</td><td>89900</td></tr><tr><td>80</td><td>914.406</td><td>2</td><td>4</td><td>2</td><td>2</td><td>1</td><td>37000</td></tr><tr><td>81</td><td>1558.404</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>48800</td></tr><tr><td>82</td><td>772.086</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>39000</td></tr><tr><td>83</td><td>711.6</td><td>8</td><td>9</td><td>2</td><td>2</td><td>1</td><td>45000</td></tr><tr><td>84</td><td>747.18</td><td>5</td><td>9</td><td>2</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>85</td><td>1227.51</td><td>5</td><td>12</td><td>3</td><td>1</td><td>2</td><td>45000</td></tr><tr><td>86</td><td>1451.664</td><td>2</td><td>5</td><td>3</td><td>3</td><td>2</td><td>46000</td></tr><tr><td>87</td><td>3255.57</td><td>4</td><td>7</td><td>4</td><td>2</td><td>4</td><td>130000</td></tr><tr><td>88</td><td>1779.0</td><td>7</td><td>12</td><td>4</td><td>2</td><td>2</td><td>60000</td></tr><tr><td>89</td><td>1892.856</td><td>2</td><td>7</td><td>4</td><td>2</td><td>3</td><td>78000</td></tr><tr><td>90</td><td>2312.7</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>91</td><td>1992.48</td><td>5</td><td>12</td><td>3</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>92</td><td>2063.64</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>93</td><td>1529.94</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>49800</td></tr><tr><td>94</td><td>2145.474</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>79999</td></tr><tr><td>95</td><td>2170.38</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>60000</td></tr><tr><td>96</td><td>1771.884</td><td>4</td><td>7</td><td>4</td><td>2</td><td>2</td><td>57000</td></tr><tr><td>97</td><td>1956.9</td><td>6</td><td>17</td><td>4</td><td>2</td><td>2</td><td>66000</td></tr><tr><td>98</td><td>1743.42</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>99</td><td>1707.84</td><td>13</td><td>20</td><td>2</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>100</td><td>2063.64</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>102</td><td>2366.07</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>103</td><td>1814.58</td><td>2</td><td>16</td><td>3</td><td>2</td><td>2</td><td>60000</td></tr><tr><td>104</td><td>2938.908</td><td>2</td><td>25</td><td>4</td><td>2</td><td>2</td><td>95000</td></tr><tr><td>105</td><td>3173.736</td><td>3</td><td>9</td><td>3</td><td>2</td><td>3</td><td>150000</td></tr><tr><td>106</td><td>2917.56</td><td>8</td><td>16</td><td>4</td><td>2</td><td>2</td><td>150000</td></tr><tr><td>107</td><td>1786.116</td><td>3</td><td>6</td><td>4</td><td>2</td><td>3</td><td>98000</td></tr><tr><td>108</td><td>3202.2</td><td>12</td><td>12</td><td>5</td><td>3</td><td>3</td><td>80000</td></tr><tr><td>109</td><td>583.512</td><td>6</td><td>6</td><td>1</td><td>2</td><td>1</td><td>33000</td></tr><tr><td>110</td><td>2099.22</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>111</td><td>2063.64</td><td>7</td><td>15</td><td>2</td><td>2</td><td>2</td><td>80000</td></tr><tr><td>112</td><td>2099.22</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>52000</td></tr><tr><td>113</td><td>857.478</td><td>6</td><td>9</td><td>4</td><td>2</td><td>2</td><td>52000</td></tr><tr><td>114</td><td>2227.308</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>99999</td></tr><tr><td>115</td><td>2088.546</td><td>8</td><td>19</td><td>3</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>116</td><td>1423.2</td><td>7</td><td>14</td><td>3</td><td>2</td><td>2</td><td>92000</td></tr><tr><td>117</td><td>1569.078</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>118</td><td>3202.2</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>149999</td></tr><tr><td>119</td><td>711.6</td><td>6</td><td>12</td><td>2</td><td>1</td><td>1</td><td>35000</td></tr><tr><td>120</td><td>391.38</td><td>13</td><td>14</td><td>1</td><td>1</td><td>1</td><td>22000</td></tr><tr><td>121</td><td>960.66</td><td>2</td><td>14</td><td>2</td><td>2</td><td>2</td><td>33000</td></tr><tr><td>122</td><td>878.826</td><td>10</td><td>14</td><td>2</td><td>1</td><td>1</td><td>48000</td></tr><tr><td>123</td><td>1280.88</td><td>10</td><td>12</td><td>3</td><td>2</td><td>2</td><td>53000</td></tr><tr><td>124</td><td>2134.8</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>68000</td></tr><tr><td>125</td><td>2149.032</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>80000</td></tr><tr><td>126</td><td>2543.97</td><td>9</td><td>12</td><td>3</td><td>2</td><td>2</td><td>120000</td></tr><tr><td>127</td><td>1206.162</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td></tr><tr><td>128</td><td>1280.88</td><td>7</td><td>7</td><td>2</td><td>1</td><td>1</td><td>57000</td></tr><tr><td>129</td><td>2067.198</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>130</td><td>1184.814</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>38000</td></tr><tr><td>131</td><td>732.948</td><td>8</td><td>11</td><td>2</td><td>1</td><td>1</td><td>27000</td></tr><tr><td>132</td><td>1529.94</td><td>6</td><td>12</td><td>3</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>133</td><td>1572.636</td><td>2</td><td>5</td><td>4</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>134</td><td>2540.412</td><td>18</td><td>18</td><td>4</td><td>2</td><td>2</td><td>89000</td></tr><tr><td>135</td><td>1135.002</td><td>7</td><td>12</td><td>3</td><td>2</td><td>1</td><td>40000</td></tr><tr><td>136</td><td>1544.172</td><td>5</td><td>16</td><td>3</td><td>2</td><td>2</td><td>99999</td></tr><tr><td>137</td><td>1921.32</td><td>4</td><td>7</td><td>4</td><td>2</td><td>2</td><td>48000</td></tr><tr><td>138</td><td>772.086</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>39000</td></tr><tr><td>139</td><td>1754.094</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>140</td><td>2558.202</td><td>2</td><td>10</td><td>3</td><td>2</td><td>2</td><td>80000</td></tr><tr><td>141</td><td>1195.488</td><td>10</td><td>16</td><td>3</td><td>2</td><td>2</td><td>86888</td></tr><tr><td>142</td><td>3323.172</td><td>19</td><td>21</td><td>5</td><td>3</td><td>4</td><td>140000</td></tr><tr><td>143</td><td>1223.952</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>58888</td></tr><tr><td>144</td><td>1184.814</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td></tr><tr><td>145</td><td>1223.952</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>41888</td></tr><tr><td>146</td><td>1245.3</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>39000</td></tr><tr><td>147</td><td>533.7</td><td>10</td><td>12</td><td>2</td><td>1</td><td>1</td><td>29999</td></tr><tr><td>148</td><td>2028.06</td><td>6</td><td>15</td><td>4</td><td>2</td><td>2</td><td>88000</td></tr><tr><td>149</td><td>4981.2</td><td>3</td><td>38</td><td>3</td><td>2</td><td>3</td><td>225000</td></tr><tr><td>150</td><td>1245.3</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>40999</td></tr><tr><td>151</td><td>1707.84</td><td>3</td><td>20</td><td>3</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>152</td><td>1779.0</td><td>10</td><td>13</td><td>4</td><td>2</td><td>2</td><td>97999</td></tr><tr><td>153</td><td>1956.9</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>77000</td></tr><tr><td>154</td><td>1779.0</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>57000</td></tr><tr><td>155</td><td>889.5</td><td>10</td><td>14</td><td>2</td><td>1</td><td>1</td><td>52000</td></tr><tr><td>156</td><td>996.24</td><td>11</td><td>14</td><td>3</td><td>2</td><td>2</td><td>44999</td></tr><tr><td>158</td><td>1067.4</td><td>4</td><td>7</td><td>3</td><td>2</td><td>1</td><td>32000</td></tr><tr><td>159</td><td>900.174</td><td>10</td><td>21</td><td>1</td><td>2</td><td>1</td><td>50000</td></tr><tr><td>160</td><td>1704.282</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>59888</td></tr><tr><td>161</td><td>1284.438</td><td>6</td><td>12</td><td>3</td><td>2</td><td>2</td><td>41000</td></tr><tr><td>162</td><td>1565.52</td><td>2</td><td>6</td><td>3</td><td>2</td><td>1</td><td>45000</td></tr><tr><td>163</td><td>1487.244</td><td>1</td><td>7</td><td>3</td><td>2</td><td>3</td><td>68000</td></tr><tr><td>164</td><td>572.838</td><td>14</td><td>14</td><td>1</td><td>1</td><td>1</td><td>43000</td></tr><tr><td>165</td><td>683.136</td><td>4</td><td>5</td><td>2</td><td>2</td><td>1</td><td>28000</td></tr><tr><td>166</td><td>4091.7</td><td>2</td><td>15</td><td>3</td><td>2</td><td>4</td><td>180000</td></tr><tr><td>167</td><td>1124.328</td><td>3</td><td>5</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>168</td><td>1789.674</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>88000</td></tr><tr><td>169</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>170</td><td>2205.96</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>171</td><td>1601.1</td><td>5</td><td>12</td><td>2</td><td>2</td><td>2</td><td>48000</td></tr><tr><td>172</td><td>1085.19</td><td>12</td><td>19</td><td>2</td><td>2</td><td>1</td><td>35000</td></tr><tr><td>173</td><td>1921.32</td><td>4</td><td>7</td><td>4</td><td>2</td><td>2</td><td>48000</td></tr><tr><td>174</td><td>1707.84</td><td>9</td><td>15</td><td>3</td><td>2</td><td>2</td><td>80000</td></tr><tr><td>175</td><td>2120.568</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>98000</td></tr><tr><td>176</td><td>2782.356</td><td>12</td><td>13</td><td>3</td><td>2</td><td>3</td><td>120000</td></tr><tr><td>177</td><td>914.406</td><td>2</td><td>4</td><td>2</td><td>2</td><td>1</td><td>37000</td></tr><tr><td>178</td><td>1850.16</td><td>16</td><td>18</td><td>4</td><td>2</td><td>3</td><td>82000</td></tr><tr><td>179</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>180</td><td>1245.3</td><td>2</td><td>5</td><td>3</td><td>2</td><td>2</td><td>35000</td></tr><tr><td>181</td><td>1494.36</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>49800</td></tr><tr><td>182</td><td>1487.244</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>33700</td></tr><tr><td>183</td><td>1690.05</td><td>7</td><td>14</td><td>3</td><td>2</td><td>2</td><td>40000</td></tr><tr><td>184</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>185</td><td>3255.57</td><td>4</td><td>7</td><td>4</td><td>2</td><td>5</td><td>130000</td></tr><tr><td>186</td><td>1063.842</td><td>3</td><td>7</td><td>2</td><td>1</td><td>1</td><td>45000</td></tr><tr><td>187</td><td>1263.09</td><td>5</td><td>7</td><td>2</td><td>1</td><td>2</td><td>37000</td></tr><tr><td>188</td><td>1352.04</td><td>5</td><td>5</td><td>3</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>189</td><td>1287.996</td><td>4</td><td>5</td><td>4</td><td>2</td><td>2</td><td>30000</td></tr><tr><td>190</td><td>1167.024</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td></tr><tr><td>191</td><td>1167.024</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td></tr><tr><td>192</td><td>1839.486</td><td>2</td><td>13</td><td>1</td><td>0</td><td>1</td><td>67000</td></tr><tr><td>193</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>1</td><td>45000</td></tr><tr><td>194</td><td>601.302</td><td>2</td><td>9</td><td>1</td><td>1</td><td>1</td><td>38000</td></tr><tr><td>195</td><td>2156.148</td><td>12</td><td>17</td><td>3</td><td>2</td><td>3</td><td>75000</td></tr><tr><td>196</td><td>2138.358</td><td>11</td><td>14</td><td>4</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>197</td><td>1779.0</td><td>2</td><td>9</td><td>3</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>198</td><td>1779.0</td><td>8</td><td>15</td><td>3</td><td>2</td><td>2</td><td>85000</td></tr><tr><td>199</td><td>1732.746</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>200</td><td>526.584</td><td>13</td><td>17</td><td>2</td><td>1</td><td>1</td><td>29500</td></tr><tr><td>201</td><td>718.716</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>43000</td></tr><tr><td>202</td><td>1601.1</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>33500</td></tr><tr><td>203</td><td>1174.14</td><td>14</td><td>14</td><td>3</td><td>2</td><td>1</td><td>26000</td></tr><tr><td>204</td><td>1408.968</td><td>9</td><td>9</td><td>2</td><td>2</td><td>2</td><td>65999</td></tr><tr><td>205</td><td>1387.62</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>206</td><td>604.86</td><td>3</td><td>12</td><td>1</td><td>1</td><td>1</td><td>23800</td></tr><tr><td>207</td><td>1380.504</td><td>6</td><td>13</td><td>3</td><td>2</td><td>2</td><td>49999</td></tr><tr><td>208</td><td>2134.8</td><td>2</td><td>13</td><td>1</td><td>2</td><td>2</td><td>58000</td></tr><tr><td>209</td><td>740.064</td><td>10</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>210</td><td>1031.82</td><td>5</td><td>12</td><td>2</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>211</td><td>1526.382</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>212</td><td>1601.1</td><td>1</td><td>4</td><td>3</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>213</td><td>1423.2</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>214</td><td>384.264</td><td>2</td><td>9</td><td>1</td><td>1</td><td>1</td><td>35000</td></tr><tr><td>215</td><td>1996.038</td><td>5</td><td>12</td><td>3</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>216</td><td>718.716</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>43000</td></tr><tr><td>217</td><td>1366.272</td><td>4</td><td>11</td><td>3</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>218</td><td>1743.42</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>219</td><td>1636.68</td><td>4</td><td>4</td><td>4</td><td>2</td><td>2</td><td>52000</td></tr><tr><td>220</td><td>1903.53</td><td>8</td><td>13</td><td>3</td><td>2</td><td>2</td><td>120000</td></tr><tr><td>221</td><td>668.904</td><td>5</td><td>6</td><td>2</td><td>1</td><td>1</td><td>28000</td></tr><tr><td>222</td><td>2430.114</td><td>12</td><td>25</td><td>4</td><td>2</td><td>2</td><td>110000</td></tr><tr><td>223</td><td>1298.67</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td></tr><tr><td>224</td><td>2138.358</td><td>11</td><td>14</td><td>4</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>225</td><td>2963.814</td><td>2</td><td>25</td><td>4</td><td>2</td><td>2</td><td>95000</td></tr><tr><td>226</td><td>533.7</td><td>14</td><td>16</td><td>1</td><td>1</td><td>1</td><td>25000</td></tr><tr><td>227</td><td>2262.888</td><td>4</td><td>14</td><td>3</td><td>2</td><td>2</td><td>120000</td></tr><tr><td>228</td><td>590.628</td><td>8</td><td>9</td><td>1</td><td>2</td><td>1</td><td>45000</td></tr><tr><td>229</td><td>964.218</td><td>5</td><td>14</td><td>2</td><td>1</td><td>1</td><td>28000</td></tr><tr><td>230</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>231</td><td>2408.766</td><td>6</td><td>13</td><td>4</td><td>2</td><td>3</td><td>80000</td></tr><tr><td>232</td><td>1700.724</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>233</td><td>1672.26</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>234</td><td>1469.454</td><td>6</td><td>7</td><td>2</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>235</td><td>2067.198</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>236</td><td>1754.094</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>237</td><td>1757.652</td><td>4</td><td>16</td><td>4</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>238</td><td>587.07</td><td>5</td><td>7</td><td>1</td><td>1</td><td>1</td><td>36000</td></tr><tr><td>239</td><td>1487.244</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>240</td><td>1487.244</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>241</td><td>789.876</td><td>7</td><td>9</td><td>1</td><td>1</td><td>1</td><td>42000</td></tr><tr><td>242</td><td>2006.712</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>68000</td></tr><tr><td>243</td><td>871.71</td><td>8</td><td>14</td><td>2</td><td>1</td><td>1</td><td>41999</td></tr><tr><td>244</td><td>1522.824</td><td>11</td><td>11</td><td>4</td><td>2</td><td>3</td><td>60000</td></tr><tr><td>245</td><td>3173.736</td><td>3</td><td>9</td><td>4</td><td>2</td><td>3</td><td>160000</td></tr><tr><td>246</td><td>1899.972</td><td>21</td><td>27</td><td>4</td><td>2</td><td>2</td><td>57000</td></tr><tr><td>247</td><td>2205.96</td><td>8</td><td>10</td><td>3</td><td>2</td><td>3</td><td>120000</td></tr><tr><td>248</td><td>1106.538</td><td>3</td><td>12</td><td>1</td><td>2</td><td>1</td><td>50000</td></tr><tr><td>249</td><td>2668.5</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>138888</td></tr><tr><td>250</td><td>882.384</td><td>10</td><td>14</td><td>1</td><td>1</td><td>1</td><td>48800</td></tr><tr><td>251</td><td>3255.57</td><td>4</td><td>7</td><td>4</td><td>2</td><td>5</td><td>120000</td></tr><tr><td>252</td><td>2138.358</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>43000</td></tr><tr><td>253</td><td>1579.752</td><td>4</td><td>15</td><td>3</td><td>1</td><td>2</td><td>99990</td></tr><tr><td>254</td><td>2768.124</td><td>8</td><td>19</td><td>3</td><td>2</td><td>2</td><td>60000</td></tr><tr><td>255</td><td>2081.43</td><td>10</td><td>17</td><td>2</td><td>2</td><td>2</td><td>68000</td></tr><tr><td>256</td><td>1700.724</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>257</td><td>2134.8</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>43000</td></tr><tr><td>258</td><td>718.716</td><td>5</td><td>12</td><td>2</td><td>1</td><td>1</td><td>34800</td></tr><tr><td>259</td><td>754.296</td><td>5</td><td>7</td><td>2</td><td>1</td><td>1</td><td>80000</td></tr><tr><td>260</td><td>1387.62</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>261</td><td>3558.0</td><td>1</td><td>5</td><td>2</td><td>2</td><td>2</td><td>63000</td></tr><tr><td>262</td><td>1515.708</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>49800</td></tr><tr><td>263</td><td>914.406</td><td>12</td><td>12</td><td>3</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>264</td><td>711.6</td><td>8</td><td>14</td><td>1</td><td>1</td><td>1</td><td>36000</td></tr><tr><td>265</td><td>1487.244</td><td>2</td><td>6</td><td>2</td><td>2</td><td>2</td><td>48000</td></tr><tr><td>266</td><td>2138.358</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>43000</td></tr><tr><td>267</td><td>1127.886</td><td>4</td><td>5</td><td>3</td><td>2</td><td>2</td><td>26000</td></tr><tr><td>268</td><td>1135.002</td><td>2</td><td>7</td><td>3</td><td>2</td><td>1</td><td>37000</td></tr><tr><td>269</td><td>665.346</td><td>6</td><td>7</td><td>1</td><td>1</td><td>1</td><td>25000</td></tr><tr><td>270</td><td>925.08</td><td>2</td><td>4</td><td>2</td><td>2</td><td>1</td><td>36000</td></tr><tr><td>271</td><td>1209.72</td><td>3</td><td>4</td><td>3</td><td>2</td><td>2</td><td>38000</td></tr><tr><td>272</td><td>1337.808</td><td>8</td><td>19</td><td>3</td><td>2</td><td>2</td><td>60000</td></tr><tr><td>273</td><td>1366.272</td><td>4</td><td>11</td><td>4</td><td>2</td><td>2</td><td>49999</td></tr><tr><td>274</td><td>2052.966</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>77999</td></tr><tr><td>275</td><td>711.6</td><td>8</td><td>14</td><td>1</td><td>1</td><td>1</td><td>36000</td></tr><tr><td>276</td><td>533.7</td><td>7</td><td>12</td><td>1</td><td>1</td><td>1</td><td>17000</td></tr><tr><td>277</td><td>1138.56</td><td>4</td><td>5</td><td>3</td><td>2</td><td>2</td><td>26000</td></tr><tr><td>278</td><td>1458.78</td><td>4</td><td>12</td><td>3</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>279</td><td>1245.3</td><td>5</td><td>7</td><td>2</td><td>2</td><td>2</td><td>37000</td></tr><tr><td>280</td><td>1814.58</td><td>6</td><td>14</td><td>4</td><td>2</td><td>2</td><td>90000</td></tr><tr><td>281</td><td>1515.708</td><td>4</td><td>7</td><td>2</td><td>2</td><td>2</td><td>88000</td></tr><tr><td>282</td><td>811.224</td><td>5</td><td>12</td><td>2</td><td>1</td><td>1</td><td>43500</td></tr><tr><td>283</td><td>359.358</td><td>12</td><td>12</td><td>1</td><td>1</td><td>1</td><td>26000</td></tr><tr><td>284</td><td>1882.182</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>285</td><td>1419.642</td><td>6</td><td>12</td><td>4</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>286</td><td>1394.736</td><td>12</td><td>12</td><td>2</td><td>2</td><td>1</td><td>45000</td></tr><tr><td>287</td><td>2063.64</td><td>3</td><td>6</td><td>4</td><td>2</td><td>3</td><td>88000</td></tr><tr><td>288</td><td>1661.586</td><td>10</td><td>12</td><td>1</td><td>1</td><td>1</td><td>50000</td></tr><tr><td>289</td><td>3504.63</td><td>13</td><td>14</td><td>2</td><td>2</td><td>2</td><td>250000</td></tr><tr><td>291</td><td>1871.508</td><td>8</td><td>9</td><td>3</td><td>2</td><td>2</td><td>88000</td></tr><tr><td>292</td><td>640.44</td><td>14</td><td>14</td><td>1</td><td>1</td><td>1</td><td>43000</td></tr><tr><td>293</td><td>2430.114</td><td>5</td><td>25</td><td>3</td><td>2</td><td>2</td><td>88000</td></tr><tr><td>294</td><td>1519.266</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>49800</td></tr><tr><td>295</td><td>761.412</td><td>8</td><td>13</td><td>1</td><td>1</td><td>1</td><td>26000</td></tr><tr><td>296</td><td>1903.53</td><td>8</td><td>13</td><td>2</td><td>2</td><td>2</td><td>120000</td></tr><tr><td>297</td><td>1163.466</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>298</td><td>1779.0</td><td>4</td><td>4</td><td>4</td><td>2</td><td>2</td><td>51999</td></tr><tr><td>299</td><td>1579.752</td><td>10</td><td>12</td><td>4</td><td>1</td><td>1</td><td>65000</td></tr><tr><td>300</td><td>3145.272</td><td>2</td><td>25</td><td>4</td><td>2</td><td>2</td><td>98000</td></tr><tr><td>301</td><td>3148.83</td><td>2</td><td>25</td><td>4</td><td>2</td><td>2</td><td>98000</td></tr><tr><td>302</td><td>2700.522</td><td>15</td><td>21</td><td>5</td><td>2</td><td>4</td><td>100000</td></tr><tr><td>303</td><td>3664.74</td><td>9</td><td>13</td><td>5</td><td>1</td><td>2</td><td>206000</td></tr><tr><td>304</td><td>2134.8</td><td>2</td><td>6</td><td>3</td><td>2</td><td>2</td><td>68000</td></tr><tr><td>305</td><td>1700.724</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>306</td><td>1380.504</td><td>6</td><td>13</td><td>3</td><td>2</td><td>2</td><td>49800</td></tr><tr><td>307</td><td>2052.966</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>77999</td></tr><tr><td>308</td><td>1871.508</td><td>11</td><td>12</td><td>4</td><td>2</td><td>2</td><td>49999</td></tr><tr><td>309</td><td>1430.316</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>44999</td></tr><tr><td>310</td><td>1579.752</td><td>4</td><td>15</td><td>3</td><td>1</td><td>2</td><td>99999</td></tr><tr><td>311</td><td>1672.26</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>58000</td></tr><tr><td>312</td><td>1270.206</td><td>3</td><td>14</td><td>2</td><td>2</td><td>1</td><td>42000</td></tr><tr><td>313</td><td>1245.3</td><td>3</td><td>12</td><td>1</td><td>2</td><td>1</td><td>35000</td></tr><tr><td>314</td><td>1458.78</td><td>4</td><td>6</td><td>2</td><td>1</td><td>2</td><td>65000</td></tr><tr><td>315</td><td>1707.84</td><td>1</td><td>5</td><td>2</td><td>2</td><td>2</td><td>37000</td></tr><tr><td>316</td><td>1515.708</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>48800</td></tr><tr><td>317</td><td>1408.968</td><td>3</td><td>4</td><td>4</td><td>2</td><td>2</td><td>39999</td></tr><tr><td>318</td><td>1476.57</td><td>6</td><td>6</td><td>3</td><td>2</td><td>2</td><td>49999</td></tr><tr><td>319</td><td>1700.724</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>320</td><td>2590.224</td><td>7</td><td>7</td><td>4</td><td>3</td><td>3</td><td>77999</td></tr><tr><td>321</td><td>2408.766</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>74999</td></tr><tr><td>322</td><td>1779.0</td><td>10</td><td>10</td><td>3</td><td>2</td><td>2</td><td>90000</td></tr><tr><td>323</td><td>2099.22</td><td>4</td><td>8</td><td>3</td><td>2</td><td>2</td><td>63000</td></tr><tr><td>324</td><td>1206.162</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>59500</td></tr><tr><td>325</td><td>989.124</td><td>13</td><td>13</td><td>2</td><td>2</td><td>1</td><td>45000</td></tr><tr><td>326</td><td>3173.736</td><td>3</td><td>9</td><td>3</td><td>2</td><td>3</td><td>160000</td></tr><tr><td>327</td><td>2444.346</td><td>7</td><td>15</td><td>4</td><td>2</td><td>3</td><td>73000</td></tr><tr><td>328</td><td>722.274</td><td>11</td><td>13</td><td>2</td><td>1</td><td>1</td><td>36000</td></tr><tr><td>329</td><td>1707.84</td><td>3</td><td>14</td><td>3</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>330</td><td>1444.548</td><td>6</td><td>7</td><td>2</td><td>2</td><td>1</td><td>53000</td></tr><tr><td>331</td><td>2892.654</td><td>19</td><td>21</td><td>5</td><td>3</td><td>4</td><td>170000</td></tr><tr><td>332</td><td>711.6</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>43000</td></tr><tr><td>333</td><td>1423.2</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>334</td><td>1494.36</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>48800</td></tr><tr><td>335</td><td>2184.612</td><td>2</td><td>9</td><td>3</td><td>2</td><td>2</td><td>80000</td></tr><tr><td>336</td><td>601.302</td><td>2</td><td>9</td><td>1</td><td>1</td><td>1</td><td>35000</td></tr><tr><td>337</td><td>3558.0</td><td>1</td><td>7</td><td>3</td><td>2</td><td>2</td><td>160000</td></tr><tr><td>338</td><td>2102.778</td><td>6</td><td>12</td><td>3</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>339</td><td>1138.56</td><td>3</td><td>4</td><td>3</td><td>2</td><td>2</td><td>40000</td></tr><tr><td>340</td><td>1579.752</td><td>3</td><td>12</td><td>5</td><td>1</td><td>1</td><td>56000</td></tr><tr><td>341</td><td>1135.002</td><td>7</td><td>12</td><td>3</td><td>2</td><td>1</td><td>40000</td></tr><tr><td>342</td><td>640.44</td><td>2</td><td>7</td><td>2</td><td>1</td><td>1</td><td>38000</td></tr><tr><td>343</td><td>1515.708</td><td>2</td><td>6</td><td>3</td><td>2</td><td>2</td><td>68000</td></tr><tr><td>344</td><td>747.18</td><td>9</td><td>12</td><td>2</td><td>2</td><td>1</td><td>60000</td></tr><tr><td>345</td><td>754.296</td><td>5</td><td>14</td><td>2</td><td>2</td><td>1</td><td>32000</td></tr><tr><td>346</td><td>2134.8</td><td>11</td><td>12</td><td>2</td><td>2</td><td>2</td><td>58000</td></tr><tr><td>347</td><td>1490.802</td><td>3</td><td>12</td><td>2</td><td>1</td><td>2</td><td>59888</td></tr><tr><td>348</td><td>1231.068</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>38888</td></tr><tr><td>349</td><td>370.032</td><td>4</td><td>7</td><td>1</td><td>1</td><td>1</td><td>24888</td></tr><tr><td>350</td><td>772.086</td><td>6</td><td>7</td><td>2</td><td>2</td><td>1</td><td>39000</td></tr><tr><td>351</td><td>1622.448</td><td>1</td><td>6</td><td>3</td><td>2</td><td>2</td><td>130000</td></tr><tr><td>352</td><td>925.08</td><td>2</td><td>4</td><td>2</td><td>1</td><td>1</td><td>31999</td></tr><tr><td>353</td><td>818.34</td><td>5</td><td>9</td><td>1</td><td>2</td><td>1</td><td>42000</td></tr><tr><td>354</td><td>1384.062</td><td>6</td><td>13</td><td>3</td><td>2</td><td>2</td><td>49800</td></tr><tr><td>355</td><td>540.816</td><td>5</td><td>11</td><td>1</td><td>1</td><td>1</td><td>29500</td></tr><tr><td>356</td><td>2561.76</td><td>10</td><td>17</td><td>4</td><td>2</td><td>3</td><td>100000</td></tr><tr><td>357</td><td>1992.48</td><td>5</td><td>7</td><td>4</td><td>2</td><td>3</td><td>55000</td></tr><tr><td>358</td><td>1031.82</td><td>11</td><td>14</td><td>3</td><td>2</td><td>2</td><td>61000</td></tr><tr><td>359</td><td>2063.64</td><td>2</td><td>17</td><td>3</td><td>2</td><td>3</td><td>85000</td></tr><tr><td>360</td><td>2312.7</td><td>7</td><td>16</td><td>5</td><td>2</td><td>3</td><td>55000</td></tr><tr><td>361</td><td>2383.86</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>362</td><td>2134.8</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td></tr><tr><td>363</td><td>2134.8</td><td>3</td><td>6</td><td>4</td><td>2</td><td>3</td><td>98000</td></tr><tr><td>364</td><td>1423.2</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>365</td><td>1739.862</td><td>1</td><td>25</td><td>3</td><td>1</td><td>1</td><td>65000</td></tr><tr><td>366</td><td>1191.93</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>367</td><td>711.6</td><td>6</td><td>14</td><td>1</td><td>1</td><td>1</td><td>39000</td></tr><tr><td>368</td><td>658.23</td><td>4</td><td>4</td><td>1</td><td>1</td><td>1</td><td>22000</td></tr><tr><td>369</td><td>537.258</td><td>22</td><td>26</td><td>1</td><td>0</td><td>1</td><td>19000</td></tr><tr><td>370</td><td>1515.708</td><td>4</td><td>7</td><td>2</td><td>2</td><td>2</td><td>88000</td></tr><tr><td>371</td><td>1732.746</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>372</td><td>640.44</td><td>8</td><td>9</td><td>1</td><td>2</td><td>1</td><td>45000</td></tr><tr><td>373</td><td>925.08</td><td>2</td><td>4</td><td>2</td><td>1</td><td>1</td><td>31800</td></tr><tr><td>374</td><td>718.716</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>34800</td></tr><tr><td>375</td><td>426.96</td><td>9</td><td>12</td><td>1</td><td>0</td><td>1</td><td>13000</td></tr><tr><td>376</td><td>658.23</td><td>9</td><td>12</td><td>2</td><td>2</td><td>1</td><td>46000</td></tr><tr><td>377</td><td>1501.476</td><td>4</td><td>4</td><td>4</td><td>2</td><td>2</td><td>52000</td></tr><tr><td>378</td><td>1771.884</td><td>4</td><td>7</td><td>4</td><td>2</td><td>2</td><td>57000</td></tr><tr><td>379</td><td>1167.024</td><td>2</td><td>12</td><td>3</td><td>2</td><td>2</td><td>38000</td></tr><tr><td>380</td><td>1252.416</td><td>8</td><td>12</td><td>3</td><td>2</td><td>2</td><td>40000</td></tr><tr><td>381</td><td>1697.166</td><td>3</td><td>12</td><td>4</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>382</td><td>1167.024</td><td>2</td><td>12</td><td>3</td><td>2</td><td>2</td><td>43000</td></tr><tr><td>383</td><td>2184.612</td><td>4</td><td>14</td><td>3</td><td>2</td><td>2</td><td>63000</td></tr><tr><td>384</td><td>2170.38</td><td>9</td><td>15</td><td>4</td><td>2</td><td>2</td><td>110000</td></tr><tr><td>385</td><td>1857.276</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>386</td><td>1996.038</td><td>5</td><td>12</td><td>3</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>387</td><td>1359.156</td><td>7</td><td>16</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>388</td><td>1586.868</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>44000</td></tr><tr><td>389</td><td>2312.7</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>390</td><td>2227.308</td><td>2</td><td>5</td><td>5</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>391</td><td>893.058</td><td>8</td><td>14</td><td>2</td><td>2</td><td>1</td><td>38000</td></tr><tr><td>392</td><td>1440.99</td><td>6</td><td>7</td><td>2</td><td>2</td><td>1</td><td>55000</td></tr><tr><td>393</td><td>1263.09</td><td>5</td><td>7</td><td>2</td><td>2</td><td>2</td><td>37000</td></tr><tr><td>394</td><td>1099.422</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>58500</td></tr><tr><td>395</td><td>3255.57</td><td>4</td><td>7</td><td>4</td><td>2</td><td>5</td><td>120000</td></tr><tr><td>396</td><td>1540.614</td><td>6</td><td>14</td><td>4</td><td>2</td><td>2</td><td>69000</td></tr><tr><td>397</td><td>1366.272</td><td>10</td><td>12</td><td>3</td><td>2</td><td>2</td><td>41000</td></tr><tr><td>398</td><td>1152.792</td><td>10</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>399</td><td>1544.172</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>98000</td></tr><tr><td>400</td><td>1910.646</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>401</td><td>718.716</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>35000</td></tr><tr><td>402</td><td>1487.244</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>33700</td></tr><tr><td>403</td><td>1312.902</td><td>4</td><td>13</td><td>3</td><td>2</td><td>2</td><td>41000</td></tr><tr><td>404</td><td>1255.974</td><td>4</td><td>16</td><td>3</td><td>2</td><td>2</td><td>40000</td></tr><tr><td>405</td><td>2255.772</td><td>2</td><td>25</td><td>3</td><td>2</td><td>2</td><td>80000</td></tr><tr><td>406</td><td>2052.966</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td></tr><tr><td>407</td><td>1188.372</td><td>2</td><td>14</td><td>3</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>408</td><td>604.86</td><td>5</td><td>5</td><td>2</td><td>0</td><td>1</td><td>11900</td></tr><tr><td>409</td><td>889.5</td><td>3</td><td>4</td><td>2</td><td>2</td><td>1</td><td>29800</td></tr><tr><td>410</td><td>1067.4</td><td>1</td><td>6</td><td>3</td><td>2</td><td>2</td><td>35000</td></tr><tr><td>411</td><td>1138.56</td><td>6</td><td>10</td><td>2</td><td>1</td><td>2</td><td>33000</td></tr><tr><td>412</td><td>925.08</td><td>4</td><td>13</td><td>2</td><td>2</td><td>1</td><td>32000</td></tr><tr><td>413</td><td>711.6</td><td>6</td><td>9</td><td>2</td><td>2</td><td>1</td><td>42000</td></tr><tr><td>414</td><td>925.08</td><td>2</td><td>4</td><td>3</td><td>1</td><td>1</td><td>34500</td></tr><tr><td>415</td><td>925.08</td><td>4</td><td>13</td><td>2</td><td>2</td><td>1</td><td>32000</td></tr><tr><td>416</td><td>523.026</td><td>2</td><td>12</td><td>1</td><td>1</td><td>1</td><td>29000</td></tr><tr><td>417</td><td>1529.94</td><td>2</td><td>12</td><td>2</td><td>2</td><td>1</td><td>58000</td></tr><tr><td>418</td><td>836.13</td><td>8</td><td>12</td><td>2</td><td>1</td><td>1</td><td>35000</td></tr><tr><td>419</td><td>789.876</td><td>7</td><td>9</td><td>1</td><td>1</td><td>1</td><td>42000</td></tr><tr><td>420</td><td>1885.74</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>54999</td></tr><tr><td>421</td><td>2782.356</td><td>12</td><td>13</td><td>3</td><td>2</td><td>3</td><td>123456</td></tr><tr><td>422</td><td>711.6</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>28000</td></tr><tr><td>423</td><td>469.656</td><td>7</td><td>7</td><td>1</td><td>1</td><td>1</td><td>34000</td></tr><tr><td>424</td><td>793.434</td><td>11</td><td>14</td><td>2</td><td>1</td><td>1</td><td>40000</td></tr><tr><td>425</td><td>1565.52</td><td>2</td><td>6</td><td>3</td><td>2</td><td>1</td><td>45000</td></tr><tr><td>426</td><td>1366.272</td><td>4</td><td>11</td><td>4</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>427</td><td>1914.204</td><td>17</td><td>21</td><td>3</td><td>2</td><td>2</td><td>88000</td></tr><tr><td>428</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>429</td><td>1956.9</td><td>6</td><td>7</td><td>4</td><td>2</td><td>3</td><td>85000</td></tr><tr><td>430</td><td>1992.48</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>99888</td></tr><tr><td>431</td><td>3187.968</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>168000</td></tr><tr><td>432</td><td>925.08</td><td>2</td><td>18</td><td>1</td><td>2</td><td>1</td><td>51000</td></tr><tr><td>433</td><td>1067.4</td><td>4</td><td>7</td><td>3</td><td>2</td><td>2</td><td>31000</td></tr><tr><td>434</td><td>1352.04</td><td>17</td><td>24</td><td>3</td><td>2</td><td>2</td><td>85000</td></tr><tr><td>435</td><td>2063.64</td><td>15</td><td>15</td><td>3</td><td>2</td><td>2</td><td>110000</td></tr><tr><td>436</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>437</td><td>949.986</td><td>5</td><td>12</td><td>2</td><td>1</td><td>1</td><td>43000</td></tr><tr><td>438</td><td>2910.444</td><td>4</td><td>7</td><td>3</td><td>2</td><td>3</td><td>90000</td></tr><tr><td>439</td><td>3010.068</td><td>4</td><td>11</td><td>3</td><td>2</td><td>2</td><td>185000</td></tr><tr><td>440</td><td>768.528</td><td>6</td><td>7</td><td>1</td><td>1</td><td>1</td><td>45000</td></tr><tr><td>441</td><td>772.086</td><td>3</td><td>7</td><td>2</td><td>2</td><td>1</td><td>28000</td></tr><tr><td>442</td><td>1423.2</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>68000</td></tr><tr><td>443</td><td>1380.504</td><td>2</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td></tr><tr><td>444</td><td>448.308</td><td>2</td><td>12</td><td>1</td><td>1</td><td>1</td><td>17000</td></tr><tr><td>445</td><td>1971.132</td><td>2</td><td>6</td><td>4</td><td>2</td><td>2</td><td>53000</td></tr><tr><td>446</td><td>2052.966</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td></tr><tr><td>447</td><td>1127.886</td><td>11</td><td>12</td><td>3</td><td>2</td><td>2</td><td>150000</td></tr><tr><td>448</td><td>3241.338</td><td>7</td><td>7</td><td>2</td><td>2</td><td>3</td><td>99999</td></tr><tr><td>449</td><td>1892.856</td><td>9</td><td>12</td><td>3</td><td>2</td><td>2</td><td>119999</td></tr><tr><td>450</td><td>2138.358</td><td>4</td><td>7</td><td>4</td><td>2</td><td>3</td><td>100000</td></tr><tr><td>451</td><td>1423.2</td><td>2</td><td>7</td><td>4</td><td>1</td><td>2</td><td>45000</td></tr><tr><td>452</td><td>1754.094</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>48000</td></tr><tr><td>453</td><td>925.08</td><td>2</td><td>4</td><td>2</td><td>2</td><td>1</td><td>36000</td></tr><tr><td>454</td><td>1352.04</td><td>4</td><td>11</td><td>4</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>455</td><td>889.5</td><td>5</td><td>5</td><td>2</td><td>1</td><td>1</td><td>24000</td></tr><tr><td>456</td><td>640.44</td><td>2</td><td>5</td><td>1</td><td>1</td><td>1</td><td>28000</td></tr><tr><td>457</td><td>1423.2</td><td>3</td><td>4</td><td>4</td><td>2</td><td>2</td><td>39000</td></tr><tr><td>458</td><td>651.114</td><td>8</td><td>11</td><td>3</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>459</td><td>1391.178</td><td>1</td><td>7</td><td>1</td><td>3</td><td>3</td><td>50000</td></tr><tr><td>460</td><td>1487.244</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>461</td><td>1700.724</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>462</td><td>1515.708</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>463</td><td>1206.162</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td></tr><tr><td>464</td><td>2052.966</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td></tr><tr><td>465</td><td>1298.67</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>59500</td></tr><tr><td>466</td><td>1444.548</td><td>2</td><td>5</td><td>4</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>467</td><td>2067.198</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>468</td><td>1227.51</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>39000</td></tr><tr><td>469</td><td>1494.36</td><td>4</td><td>4</td><td>3</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>470</td><td>1366.272</td><td>4</td><td>11</td><td>4</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>471</td><td>2298.468</td><td>14</td><td>18</td><td>4</td><td>2</td><td>2</td><td>135000</td></tr><tr><td>472</td><td>925.08</td><td>7</td><td>10</td><td>1</td><td>2</td><td>1</td><td>28000</td></tr><tr><td>473</td><td>3842.64</td><td>15</td><td>16</td><td>3</td><td>1</td><td>2</td><td>200000</td></tr><tr><td>474</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>105000</td></tr><tr><td>475</td><td>2063.64</td><td>3</td><td>6</td><td>4</td><td>2</td><td>2</td><td>98000</td></tr><tr><td>476</td><td>1544.172</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>98000</td></tr><tr><td>477</td><td>1273.764</td><td>5</td><td>13</td><td>3</td><td>2</td><td>2</td><td>57000</td></tr><tr><td>478</td><td>1579.752</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>479</td><td>1672.26</td><td>10</td><td>12</td><td>2</td><td>1</td><td>2</td><td>45000</td></tr><tr><td>480</td><td>1227.51</td><td>5</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>481</td><td>1401.852</td><td>2</td><td>6</td><td>3</td><td>2</td><td>3</td><td>60000</td></tr><tr><td>482</td><td>569.28</td><td>9</td><td>9</td><td>2</td><td>2</td><td>1</td><td>32000</td></tr><tr><td>483</td><td>2173.938</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>60000</td></tr><tr><td>484</td><td>2213.076</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>108000</td></tr><tr><td>485</td><td>2063.64</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>486</td><td>1707.84</td><td>9</td><td>15</td><td>3</td><td>2</td><td>2</td><td>80000</td></tr><tr><td>487</td><td>900.174</td><td>4</td><td>7</td><td>2</td><td>2</td><td>2</td><td>88000</td></tr><tr><td>488</td><td>1465.896</td><td>6</td><td>7</td><td>2</td><td>2</td><td>2</td><td>80000</td></tr><tr><td>489</td><td>1316.46</td><td>4</td><td>13</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>490</td><td>740.064</td><td>6</td><td>14</td><td>1</td><td>1</td><td>1</td><td>38800</td></tr><tr><td>491</td><td>754.296</td><td>2</td><td>9</td><td>1</td><td>1</td><td>1</td><td>35000</td></tr><tr><td>492</td><td>1647.354</td><td>10</td><td>14</td><td>2</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>493</td><td>811.224</td><td>5</td><td>12</td><td>2</td><td>1</td><td>1</td><td>43500</td></tr><tr><td>494</td><td>1487.244</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>38000</td></tr><tr><td>495</td><td>1494.36</td><td>1</td><td>4</td><td>4</td><td>2</td><td>3</td><td>150000</td></tr><tr><td>496</td><td>2914.002</td><td>5</td><td>15</td><td>3</td><td>2</td><td>2</td><td>110000</td></tr><tr><td>497</td><td>1665.144</td><td>7</td><td>12</td><td>4</td><td>2</td><td>2</td><td>48000</td></tr><tr><td>498</td><td>1732.746</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>72000</td></tr><tr><td>499</td><td>853.92</td><td>8</td><td>14</td><td>2</td><td>1</td><td>1</td><td>42000</td></tr><tr><td>500</td><td>1885.74</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>501</td><td>889.5</td><td>11</td><td>13</td><td>2</td><td>2</td><td>2</td><td>49998</td></tr><tr><td>502</td><td>2455.02</td><td>12</td><td>25</td><td>4</td><td>2</td><td>2</td><td>110000</td></tr><tr><td>503</td><td>1067.4</td><td>6</td><td>9</td><td>4</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>504</td><td>1102.98</td><td>2</td><td>9</td><td>3</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>505</td><td>3024.3</td><td>9</td><td>13</td><td>3</td><td>2</td><td>2</td><td>158000</td></tr><tr><td>506</td><td>1102.98</td><td>2</td><td>4</td><td>3</td><td>1</td><td>2</td><td>26000</td></tr><tr><td>507</td><td>1725.63</td><td>4</td><td>12</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>508</td><td>985.566</td><td>8</td><td>14</td><td>2</td><td>2</td><td>1</td><td>28000</td></tr><tr><td>509</td><td>1102.98</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>35000</td></tr><tr><td>510</td><td>1885.74</td><td>7</td><td>12</td><td>3</td><td>1</td><td>2</td><td>77000</td></tr><tr><td>511</td><td>2028.06</td><td>12</td><td>12</td><td>5</td><td>1</td><td>1</td><td>89000</td></tr><tr><td>512</td><td>540.816</td><td>5</td><td>11</td><td>2</td><td>1</td><td>1</td><td>28500</td></tr><tr><td>513</td><td>590.628</td><td>8</td><td>9</td><td>2</td><td>1</td><td>1</td><td>45000</td></tr><tr><td>514</td><td>2170.38</td><td>9</td><td>15</td><td>4</td><td>2</td><td>2</td><td>110000</td></tr><tr><td>515</td><td>1992.48</td><td>5</td><td>12</td><td>3</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>516</td><td>960.66</td><td>4</td><td>5</td><td>3</td><td>2</td><td>2</td><td>33000</td></tr><tr><td>517</td><td>843.246</td><td>2</td><td>18</td><td>1</td><td>1</td><td>1</td><td>51500</td></tr><tr><td>518</td><td>1889.298</td><td>18</td><td>21</td><td>3</td><td>2</td><td>2</td><td>69500</td></tr><tr><td>519</td><td>1487.244</td><td>6</td><td>7</td><td>3</td><td>1</td><td>2</td><td>36000</td></tr><tr><td>520</td><td>587.07</td><td>5</td><td>7</td><td>1</td><td>1</td><td>1</td><td>36000</td></tr><tr><td>521</td><td>1384.062</td><td>6</td><td>13</td><td>3</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>522</td><td>818.34</td><td>4</td><td>5</td><td>3</td><td>2</td><td>1</td><td>21000</td></tr><tr><td>523</td><td>711.6</td><td>1</td><td>4</td><td>2</td><td>2</td><td>3</td><td>42000</td></tr><tr><td>524</td><td>1074.516</td><td>7</td><td>10</td><td>3</td><td>1</td><td>2</td><td>35000</td></tr><tr><td>525</td><td>391.38</td><td>7</td><td>14</td><td>1</td><td>2</td><td>1</td><td>25000</td></tr><tr><td>526</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td></tr><tr><td>527</td><td>1031.82</td><td>4</td><td>16</td><td>3</td><td>2</td><td>2</td><td>40000</td></tr><tr><td>528</td><td>1921.32</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>529</td><td>1387.62</td><td>4</td><td>4</td><td>3</td><td>2</td><td>2</td><td>40000</td></tr><tr><td>530</td><td>1352.04</td><td>9</td><td>14</td><td>3</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>531</td><td>1433.874</td><td>5</td><td>6</td><td>3</td><td>2</td><td>2</td><td>47000</td></tr><tr><td>532</td><td>462.54</td><td>13</td><td>14</td><td>1</td><td>1</td><td>1</td><td>20000</td></tr><tr><td>533</td><td>3775.038</td><td>11</td><td>11</td><td>3</td><td>3</td><td>3</td><td>150000</td></tr><tr><td>534</td><td>996.24</td><td>2</td><td>5</td><td>3</td><td>2</td><td>1</td><td>28000</td></tr><tr><td>535</td><td>441.192</td><td>3</td><td>6</td><td>1</td><td>2</td><td>1</td><td>40000</td></tr><tr><td>536</td><td>1757.652</td><td>6</td><td>7</td><td>4</td><td>2</td><td>3</td><td>65000</td></tr><tr><td>537</td><td>1974.69</td><td>6</td><td>17</td><td>4</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>538</td><td>711.6</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>43000</td></tr><tr><td>539</td><td>1825.254</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>60000</td></tr><tr><td>540</td><td>1814.58</td><td>6</td><td>14</td><td>4</td><td>2</td><td>3</td><td>85000</td></tr><tr><td>541</td><td>1426.758</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>48120</td></tr><tr><td>542</td><td>469.656</td><td>9</td><td>12</td><td>1</td><td>1</td><td>1</td><td>35000</td></tr><tr><td>543</td><td>1149.234</td><td>10</td><td>12</td><td>3</td><td>2</td><td>1</td><td>50000</td></tr><tr><td>544</td><td>2309.142</td><td>16</td><td>21</td><td>4</td><td>2</td><td>4</td><td>138000</td></tr><tr><td>545</td><td>1102.98</td><td>2</td><td>4</td><td>2</td><td>1</td><td>2</td><td>31000</td></tr><tr><td>546</td><td>782.76</td><td>3</td><td>5</td><td>2</td><td>1</td><td>1</td><td>30000</td></tr><tr><td>547</td><td>1352.04</td><td>9</td><td>13</td><td>3</td><td>2</td><td>2</td><td>48000</td></tr><tr><td>548</td><td>1494.36</td><td>6</td><td>7</td><td>4</td><td>1</td><td>2</td><td>60000</td></tr><tr><td>549</td><td>1245.3</td><td>5</td><td>6</td><td>3</td><td>2</td><td>2</td><td>40000</td></tr><tr><td>550</td><td>1529.94</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>551</td><td>1569.078</td><td>10</td><td>12</td><td>2</td><td>2</td><td>2</td><td>58000</td></tr><tr><td>552</td><td>1352.04</td><td>2</td><td>4</td><td>4</td><td>2</td><td>2</td><td>30000</td></tr><tr><td>553</td><td>2141.916</td><td>7</td><td>19</td><td>4</td><td>2</td><td>2</td><td>77000</td></tr><tr><td>554</td><td>1565.52</td><td>1</td><td>5</td><td>3</td><td>2</td><td>3</td><td>80000</td></tr><tr><td>555</td><td>1885.74</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>556</td><td>1761.21</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>557</td><td>1761.21</td><td>3</td><td>6</td><td>4</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>558</td><td>889.5</td><td>11</td><td>18</td><td>2</td><td>2</td><td>1</td><td>30500</td></tr><tr><td>559</td><td>2668.5</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>138888</td></tr><tr><td>560</td><td>1334.25</td><td>5</td><td>11</td><td>3</td><td>2</td><td>2</td><td>38000</td></tr><tr><td>561</td><td>925.08</td><td>1</td><td>4</td><td>2</td><td>2</td><td>1</td><td>36000</td></tr><tr><td>562</td><td>878.826</td><td>10</td><td>14</td><td>1</td><td>1</td><td>1</td><td>47999</td></tr><tr><td>563</td><td>1067.4</td><td>3</td><td>12</td><td>3</td><td>2</td><td>1</td><td>35000</td></tr><tr><td>564</td><td>1423.2</td><td>11</td><td>12</td><td>2</td><td>2</td><td>2</td><td>38000</td></tr><tr><td>565</td><td>1419.642</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>566</td><td>711.6</td><td>5</td><td>5</td><td>2</td><td>2</td><td>1</td><td>22000</td></tr><tr><td>567</td><td>718.716</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>35000</td></tr><tr><td>568</td><td>1956.9</td><td>9</td><td>12</td><td>4</td><td>2</td><td>2</td><td>90000</td></tr><tr><td>569</td><td>1544.172</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>98000</td></tr><tr><td>570</td><td>2383.86</td><td>1</td><td>7</td><td>5</td><td>3</td><td>3</td><td>60000</td></tr><tr><td>571</td><td>2081.43</td><td>10</td><td>17</td><td>3</td><td>2</td><td>2</td><td>68000</td></tr><tr><td>572</td><td>711.6</td><td>6</td><td>6</td><td>2</td><td>1</td><td>1</td><td>17000</td></tr><tr><td>573</td><td>700.926</td><td>7</td><td>11</td><td>2</td><td>1</td><td>1</td><td>40000</td></tr><tr><td>574</td><td>1181.256</td><td>1</td><td>4</td><td>3</td><td>2</td><td>2</td><td>52000</td></tr><tr><td>575</td><td>498.12</td><td>11</td><td>14</td><td>2</td><td>1</td><td>1</td><td>40000</td></tr><tr><td>576</td><td>5856.468</td><td>7</td><td>21</td><td>6</td><td>2</td><td>5</td><td>180000</td></tr><tr><td>577</td><td>1245.3</td><td>8</td><td>8</td><td>3</td><td>2</td><td>2</td><td>23000</td></tr><tr><td>578</td><td>868.152</td><td>3</td><td>5</td><td>3</td><td>2</td><td>1</td><td>26000</td></tr><tr><td>579</td><td>533.7</td><td>7</td><td>7</td><td>1</td><td>1</td><td>1</td><td>28800</td></tr><tr><td>580</td><td>693.81</td><td>2</td><td>7</td><td>1</td><td>1</td><td>1</td><td>33000</td></tr><tr><td>581</td><td>1576.194</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>44000</td></tr><tr><td>582</td><td>5760.402</td><td>9</td><td>15</td><td>3</td><td>2</td><td>3</td><td>170000</td></tr><tr><td>583</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>1</td><td>45000</td></tr><tr><td>584</td><td>2052.966</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td></tr><tr><td>585</td><td>1163.466</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>38000</td></tr><tr><td>586</td><td>1316.46</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>587</td><td>1099.422</td><td>4</td><td>12</td><td>2</td><td>2</td><td>1</td><td>38800</td></tr><tr><td>588</td><td>1480.128</td><td>4</td><td>7</td><td>2</td><td>2</td><td>2</td><td>99999</td></tr><tr><td>589</td><td>2739.66</td><td>5</td><td>21</td><td>4</td><td>2</td><td>2</td><td>150000</td></tr><tr><td>590</td><td>800.55</td><td>3</td><td>4</td><td>2</td><td>2</td><td>1</td><td>43000</td></tr><tr><td>591</td><td>676.02</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>45000</td></tr><tr><td>592</td><td>964.218</td><td>4</td><td>4</td><td>3</td><td>2</td><td>1</td><td>32000</td></tr><tr><td>593</td><td>1832.37</td><td>9</td><td>16</td><td>4</td><td>2</td><td>2</td><td>69000</td></tr><tr><td>594</td><td>782.76</td><td>10</td><td>14</td><td>1</td><td>0</td><td>1</td><td>31000</td></tr><tr><td>595</td><td>1551.288</td><td>5</td><td>5</td><td>4</td><td>2</td><td>2</td><td>59800</td></tr><tr><td>596</td><td>1102.98</td><td>2</td><td>4</td><td>2</td><td>2</td><td>2</td><td>31000</td></tr><tr><td>597</td><td>989.124</td><td>9</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td></tr><tr><td>598</td><td>711.6</td><td>9</td><td>14</td><td>2</td><td>1</td><td>1</td><td>27000</td></tr><tr><td>599</td><td>1458.78</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>600</td><td>1359.156</td><td>7</td><td>16</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>601</td><td>2063.64</td><td>5</td><td>9</td><td>4</td><td>2</td><td>2</td><td>60000</td></tr><tr><td>602</td><td>846.804</td><td>14</td><td>14</td><td>2</td><td>2</td><td>1</td><td>29000</td></tr><tr><td>603</td><td>1458.78</td><td>21</td><td>27</td><td>3</td><td>2</td><td>2</td><td>60000</td></tr><tr><td>604</td><td>1127.886</td><td>4</td><td>5</td><td>3</td><td>2</td><td>2</td><td>26000</td></tr><tr><td>605</td><td>1355.598</td><td>5</td><td>19</td><td>2</td><td>2</td><td>2</td><td>69999</td></tr><tr><td>606</td><td>1892.856</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>129999</td></tr><tr><td>607</td><td>1031.82</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>21000</td></tr><tr><td>608</td><td>1707.84</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>50000</td></tr><tr><td>609</td><td>640.44</td><td>9</td><td>12</td><td>2</td><td>1</td><td>1</td><td>45000</td></tr><tr><td>610</td><td>1014.03</td><td>8</td><td>11</td><td>3</td><td>2</td><td>2</td><td>36000</td></tr><tr><td>611</td><td>1067.4</td><td>6</td><td>14</td><td>3</td><td>2</td><td>1</td><td>43000</td></tr><tr><td>612</td><td>711.6</td><td>8</td><td>12</td><td>1</td><td>2</td><td>1</td><td>30000</td></tr><tr><td>613</td><td>996.24</td><td>4</td><td>5</td><td>3</td><td>2</td><td>1</td><td>6100</td></tr><tr><td>614</td><td>2134.8</td><td>3</td><td>6</td><td>4</td><td>2</td><td>3</td><td>98000</td></tr><tr><td>615</td><td>1647.354</td><td>11</td><td>14</td><td>4</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>616</td><td>1138.56</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td></tr><tr><td>617</td><td>889.5</td><td>5</td><td>9</td><td>1</td><td>1</td><td>1</td><td>43000</td></tr><tr><td>618</td><td>711.6</td><td>8</td><td>14</td><td>1</td><td>1</td><td>1</td><td>36000</td></tr><tr><td>619</td><td>1857.276</td><td>2</td><td>14</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>620</td><td>1102.98</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>621</td><td>925.08</td><td>2</td><td>4</td><td>2</td><td>1</td><td>1</td><td>32000</td></tr><tr><td>622</td><td>2312.7</td><td>11</td><td>14</td><td>3</td><td>2</td><td>2</td><td>99999</td></tr><tr><td>623</td><td>925.08</td><td>4</td><td>9</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>624</td><td>711.6</td><td>1</td><td>1</td><td>3</td><td>1</td><td>1</td><td>12000</td></tr><tr><td>625</td><td>4198.44</td><td>15</td><td>19</td><td>7</td><td>3</td><td>4</td><td>180000</td></tr><tr><td>626</td><td>3095.46</td><td>1</td><td>6</td><td>4</td><td>2</td><td>3</td><td>100000</td></tr><tr><td>627</td><td>2590.224</td><td>5</td><td>15</td><td>3</td><td>2</td><td>3</td><td>110000</td></tr><tr><td>628</td><td>1885.74</td><td>8</td><td>13</td><td>3</td><td>2</td><td>2</td><td>120000</td></tr><tr><td>629</td><td>1245.3</td><td>1</td><td>14</td><td>3</td><td>2</td><td>2</td><td>55000</td></tr><tr><td>630</td><td>1174.14</td><td>10</td><td>12</td><td>3</td><td>2</td><td>2</td><td>41000</td></tr><tr><td>631</td><td>1458.78</td><td>6</td><td>7</td><td>2</td><td>2</td><td>2</td><td>75000</td></tr><tr><td>632</td><td>1305.786</td><td>9</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td></tr><tr><td>633</td><td>1316.46</td><td>12</td><td>12</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>634</td><td>1167.024</td><td>2</td><td>12</td><td>3</td><td>2</td><td>2</td><td>38000</td></tr><tr><td>635</td><td>996.24</td><td>3</td><td>5</td><td>3</td><td>1</td><td>1</td><td>28000</td></tr><tr><td>636</td><td>1099.422</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>57777</td></tr><tr><td>637</td><td>2042.292</td><td>6</td><td>18</td><td>2</td><td>2</td><td>2</td><td>82000</td></tr><tr><td>638</td><td>843.246</td><td>2</td><td>18</td><td>1</td><td>1</td><td>1</td><td>53000</td></tr><tr><td>639</td><td>1889.298</td><td>18</td><td>21</td><td>3</td><td>2</td><td>2</td><td>70000</td></tr><tr><td>640</td><td>1266.648</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>40000</td></tr><tr><td>641</td><td>1707.84</td><td>9</td><td>9</td><td>4</td><td>2</td><td>2</td><td>60000</td></tr><tr><td>642</td><td>1707.84</td><td>9</td><td>15</td><td>3</td><td>2</td><td>2</td><td>80000</td></tr><tr><td>643</td><td>2846.4</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>138888</td></tr><tr><td>644</td><td>1359.156</td><td>7</td><td>15</td><td>3</td><td>2</td><td>2</td><td>45000</td></tr><tr><td>645</td><td>377.148</td><td>4</td><td>10</td><td>1</td><td>1</td><td>1</td><td>24800</td></tr><tr><td>646</td><td>740.064</td><td>13</td><td>14</td><td>1</td><td>1</td><td>1</td><td>45000</td></tr><tr><td>647</td><td>1707.84</td><td>3</td><td>14</td><td>3</td><td>2</td><td>2</td><td>65000</td></tr><tr><td>648</td><td>1376.946</td><td>6</td><td>7</td><td>3</td><td>2</td><td>1</td><td>36000</td></tr></tbody></table></div>"]}}],"execution_count":70},{"cell_type":"code","source":["from pyspark.ml.feature import VectorAssembler"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":71},{"cell_type":"code","source":["va = VectorAssembler(inputCols=['Sqft','Floor','TotalFloor','Bedroom','LivingRoom','Bathroom'], outputCol='features')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":72},{"cell_type":"code","source":["house_data = va.transform(house_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":73},{"cell_type":"code","source":["dt = DecisionTreeRegressor(maxDepth=5, featuresCol='features',labelCol='Price')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":74},{"cell_type":"code","source":["dt_model = dt.fit(house_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":75},{"cell_type":"code","source":["result = dt_model.transform(house_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":76},{"cell_type":"code","source":["display(result)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>_c0</th><th>Sqft</th><th>Floor</th><th>TotalFloor</th><th>Bedroom</th><th>LivingRoom</th><th>Bathroom</th><th>Price</th><th>features</th><th>prediction</th></tr></thead><tbody><tr><td>1</td><td>1177.698</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>62000</td><td>List(1, 6, List(), List(1177.698, 2.0, 7.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>2</td><td>2134.8</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td><td>List(1, 6, List(), List(2134.8, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>3</td><td>1138.56</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>58000</td><td>List(1, 6, List(), List(1138.56, 5.0, 7.0, 2.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>4</td><td>1458.78</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1458.78, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>5</td><td>967.776</td><td>11</td><td>14</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(967.776, 11.0, 14.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>6</td><td>1127.886</td><td>11</td><td>12</td><td>4</td><td>2</td><td>2</td><td>148000</td><td>List(1, 6, List(), List(1127.886, 11.0, 12.0, 4.0, 2.0, 2.0))</td><td>149000.0</td></tr><tr><td>7</td><td>1352.04</td><td>5</td><td>7</td><td>3</td><td>2</td><td>1</td><td>58000</td><td>List(1, 6, List(), List(1352.04, 5.0, 7.0, 3.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>8</td><td>757.854</td><td>5</td><td>14</td><td>1</td><td>0</td><td>1</td><td>48000</td><td>List(1, 6, List(), List(757.854, 5.0, 14.0, 1.0, 0.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>9</td><td>1152.792</td><td>10</td><td>12</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1152.792, 10.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>10</td><td>1423.2</td><td>4</td><td>5</td><td>4</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1423.2, 4.0, 5.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>11</td><td>668.904</td><td>4</td><td>11</td><td>1</td><td>1</td><td>1</td><td>31000</td><td>List(1, 6, List(), List(668.904, 4.0, 11.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>12</td><td>711.6</td><td>4</td><td>7</td><td>2</td><td>1</td><td>1</td><td>29002</td><td>List(1, 6, List(), List(711.6, 4.0, 7.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>13</td><td>1352.04</td><td>9</td><td>19</td><td>4</td><td>2</td><td>2</td><td>39000</td><td>List(1, 6, List(), List(1352.04, 9.0, 19.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>14</td><td>818.34</td><td>4</td><td>13</td><td>2</td><td>2</td><td>1</td><td>48000</td><td>List(1, 6, List(), List(818.34, 4.0, 13.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>15</td><td>2134.8</td><td>10</td><td>19</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(2134.8, 10.0, 19.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>16</td><td>2768.124</td><td>6</td><td>19</td><td>3</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2768.124, 6.0, 19.0, 3.0, 2.0, 2.0))</td><td>109830.5294117647</td></tr><tr><td>17</td><td>711.6</td><td>5</td><td>13</td><td>2</td><td>2</td><td>1</td><td>48000</td><td>List(1, 6, List(), List(711.6, 5.0, 13.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>18</td><td>462.54</td><td>5</td><td>13</td><td>1</td><td>1</td><td>1</td><td>25000</td><td>List(1, 6, List(), List(462.54, 5.0, 13.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>19</td><td>2739.66</td><td>6</td><td>19</td><td>3</td><td>2</td><td>2</td><td>90000</td><td>List(1, 6, List(), List(2739.66, 6.0, 19.0, 3.0, 2.0, 2.0))</td><td>109830.5294117647</td></tr><tr><td>20</td><td>1174.14</td><td>3</td><td>9</td><td>3</td><td>2</td><td>1</td><td>33000</td><td>List(1, 6, List(), List(1174.14, 3.0, 9.0, 3.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>21</td><td>2490.6</td><td>19</td><td>21</td><td>5</td><td>3</td><td>4</td><td>140000</td><td>List(1, 6, List(), List(2490.6, 19.0, 21.0, 5.0, 3.0, 4.0))</td><td>155000.0</td></tr><tr><td>22</td><td>2768.124</td><td>6</td><td>19</td><td>3</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2768.124, 6.0, 19.0, 3.0, 2.0, 2.0))</td><td>109830.5294117647</td></tr><tr><td>23</td><td>747.18</td><td>7</td><td>15</td><td>2</td><td>2</td><td>1</td><td>55000</td><td>List(1, 6, List(), List(747.18, 7.0, 15.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>24</td><td>1668.702</td><td>4</td><td>12</td><td>3</td><td>2</td><td>2</td><td>105000</td><td>List(1, 6, List(), List(1668.702, 4.0, 12.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>25</td><td>3664.74</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td><td>List(1, 6, List(), List(3664.74, 19.0, 19.0, 3.0, 2.0, 3.0))</td><td>200125.0</td></tr><tr><td>26</td><td>1779.0</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>98000</td><td>List(1, 6, List(), List(1779.0, 10.0, 12.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>27</td><td>3664.74</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td><td>List(1, 6, List(), List(3664.74, 19.0, 19.0, 3.0, 2.0, 3.0))</td><td>200125.0</td></tr><tr><td>28</td><td>3059.88</td><td>21</td><td>24</td><td>4</td><td>2</td><td>3</td><td>145000</td><td>List(1, 6, List(), List(3059.88, 21.0, 24.0, 4.0, 2.0, 3.0))</td><td>143922.92307692306</td></tr><tr><td>29</td><td>533.7</td><td>3</td><td>4</td><td>1</td><td>1</td><td>1</td><td>25000</td><td>List(1, 6, List(), List(533.7, 3.0, 4.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>30</td><td>853.92</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>24028</td><td>List(1, 6, List(), List(853.92, 6.0, 7.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>31</td><td>1732.746</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1732.746, 8.0, 12.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>32</td><td>1245.3</td><td>10</td><td>12</td><td>3</td><td>0</td><td>0</td><td>85000</td><td>List(1, 6, List(), List(1245.3, 10.0, 12.0, 3.0, 0.0, 0.0))</td><td>47521.875</td></tr><tr><td>33</td><td>2134.8</td><td>10</td><td>19</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(2134.8, 10.0, 19.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>34</td><td>1206.162</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td><td>List(1, 6, List(), List(1206.162, 7.0, 7.0, 2.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>35</td><td>861.036</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>46000</td><td>List(1, 6, List(), List(861.036, 5.0, 12.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>36</td><td>462.54</td><td>3</td><td>4</td><td>1</td><td>1</td><td>1</td><td>52000</td><td>List(1, 6, List(), List(462.54, 3.0, 4.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>37</td><td>434.076</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>43500</td><td>List(1, 6, List(), List(434.076, 5.0, 12.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>38</td><td>768.528</td><td>4</td><td>4</td><td>3</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(768.528, 4.0, 4.0, 3.0, 2.0, 2.0))</td><td>31291.033333333333</td></tr><tr><td>39</td><td>3735.9</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td><td>List(1, 6, List(), List(3735.9, 19.0, 19.0, 3.0, 2.0, 3.0))</td><td>200125.0</td></tr><tr><td>40</td><td>889.5</td><td>6</td><td>7</td><td>3</td><td>2</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(889.5, 6.0, 7.0, 3.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>41</td><td>3063.438</td><td>21</td><td>24</td><td>5</td><td>2</td><td>4</td><td>145000</td><td>List(1, 6, List(), List(3063.438, 21.0, 24.0, 5.0, 2.0, 4.0))</td><td>143922.92307692306</td></tr><tr><td>42</td><td>925.08</td><td>10</td><td>14</td><td>2</td><td>1</td><td>1</td><td>48000</td><td>List(1, 6, List(), List(925.08, 10.0, 14.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>43</td><td>1174.14</td><td>2</td><td>14</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1174.14, 2.0, 14.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>44</td><td>1352.04</td><td>1</td><td>4</td><td>4</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1352.04, 1.0, 4.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>45</td><td>1771.884</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1771.884, 7.0, 15.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>46</td><td>1601.1</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1601.1, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>47</td><td>1487.244</td><td>2</td><td>6</td><td>2</td><td>2</td><td>2</td><td>47999</td><td>List(1, 6, List(), List(1487.244, 2.0, 6.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>48</td><td>2277.12</td><td>2</td><td>25</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2277.12, 2.0, 25.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>49</td><td>3735.9</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td><td>List(1, 6, List(), List(3735.9, 19.0, 19.0, 3.0, 2.0, 3.0))</td><td>200125.0</td></tr><tr><td>50</td><td>711.6</td><td>4</td><td>7</td><td>2</td><td>1</td><td>1</td><td>24030</td><td>List(1, 6, List(), List(711.6, 4.0, 7.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>51</td><td>2241.54</td><td>7</td><td>13</td><td>4</td><td>2</td><td>2</td><td>76000</td><td>List(1, 6, List(), List(2241.54, 7.0, 13.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>52</td><td>1494.36</td><td>1</td><td>5</td><td>2</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1494.36, 1.0, 5.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>53</td><td>711.6</td><td>2</td><td>3</td><td>2</td><td>2</td><td>1</td><td>32500</td><td>List(1, 6, List(), List(711.6, 2.0, 3.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>54</td><td>889.5</td><td>2</td><td>6</td><td>2</td><td>2</td><td>1</td><td>30032</td><td>List(1, 6, List(), List(889.5, 2.0, 6.0, 2.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>55</td><td>4643.19</td><td>1</td><td>6</td><td>5</td><td>4</td><td>4</td><td>180000</td><td>List(1, 6, List(), List(4643.19, 1.0, 6.0, 5.0, 4.0, 4.0))</td><td>170000.0</td></tr><tr><td>56</td><td>2191.728</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2191.728, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>57</td><td>640.44</td><td>5</td><td>7</td><td>1</td><td>1</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(640.44, 5.0, 7.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>58</td><td>1067.4</td><td>12</td><td>12</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1067.4, 12.0, 12.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>59</td><td>640.44</td><td>2</td><td>6</td><td>2</td><td>2</td><td>1</td><td>29032</td><td>List(1, 6, List(), List(640.44, 2.0, 6.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>60</td><td>1362.714</td><td>1</td><td>7</td><td>3</td><td>2</td><td>2</td><td>43000</td><td>List(1, 6, List(), List(1362.714, 1.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>61</td><td>604.86</td><td>6</td><td>10</td><td>2</td><td>1</td><td>1</td><td>30000</td><td>List(1, 6, List(), List(604.86, 6.0, 10.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>62</td><td>889.5</td><td>2</td><td>4</td><td>4</td><td>1</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(889.5, 2.0, 4.0, 4.0, 1.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>63</td><td>1423.2</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1423.2, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>64</td><td>1184.814</td><td>2</td><td>9</td><td>3</td><td>2</td><td>2</td><td>49000</td><td>List(1, 6, List(), List(1184.814, 2.0, 9.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>65</td><td>391.38</td><td>5</td><td>7</td><td>1</td><td>1</td><td>1</td><td>27500</td><td>List(1, 6, List(), List(391.38, 5.0, 7.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>66</td><td>426.96</td><td>5</td><td>13</td><td>1</td><td>1</td><td>1</td><td>23000</td><td>List(1, 6, List(), List(426.96, 5.0, 13.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>67</td><td>1067.4</td><td>4</td><td>5</td><td>3</td><td>2</td><td>1</td><td>33500</td><td>List(1, 6, List(), List(1067.4, 4.0, 5.0, 3.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>68</td><td>533.7</td><td>2</td><td>7</td><td>2</td><td>1</td><td>1</td><td>26000</td><td>List(1, 6, List(), List(533.7, 2.0, 7.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>69</td><td>462.54</td><td>6</td><td>14</td><td>1</td><td>1</td><td>1</td><td>27500</td><td>List(1, 6, List(), List(462.54, 6.0, 14.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>70</td><td>1270.206</td><td>6</td><td>8</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1270.206, 6.0, 8.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>71</td><td>889.5</td><td>8</td><td>12</td><td>2</td><td>1</td><td>1</td><td>25000</td><td>List(1, 6, List(), List(889.5, 8.0, 12.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>72</td><td>1284.438</td><td>6</td><td>12</td><td>3</td><td>2</td><td>2</td><td>41000</td><td>List(1, 6, List(), List(1284.438, 6.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>73</td><td>1892.856</td><td>2</td><td>7</td><td>4</td><td>2</td><td>3</td><td>90000</td><td>List(1, 6, List(), List(1892.856, 2.0, 7.0, 4.0, 2.0, 3.0))</td><td>85000.0</td></tr><tr><td>74</td><td>996.24</td><td>2</td><td>4</td><td>3</td><td>2</td><td>1</td><td>26000</td><td>List(1, 6, List(), List(996.24, 2.0, 4.0, 3.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>75</td><td>711.6</td><td>4</td><td>7</td><td>2</td><td>2</td><td>1</td><td>38000</td><td>List(1, 6, List(), List(711.6, 4.0, 7.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>76</td><td>1754.094</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1754.094, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>77</td><td>2063.64</td><td>7</td><td>24</td><td>3</td><td>2</td><td>1</td><td>56000</td><td>List(1, 6, List(), List(2063.64, 7.0, 24.0, 3.0, 2.0, 1.0))</td><td>83173.27710843373</td></tr><tr><td>78</td><td>1522.824</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1522.824, 5.0, 12.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>79</td><td>1540.614</td><td>6</td><td>14</td><td>4</td><td>2</td><td>2</td><td>89900</td><td>List(1, 6, List(), List(1540.614, 6.0, 14.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>80</td><td>914.406</td><td>2</td><td>4</td><td>2</td><td>2</td><td>1</td><td>37000</td><td>List(1, 6, List(), List(914.406, 2.0, 4.0, 2.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>81</td><td>1558.404</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>48800</td><td>List(1, 6, List(), List(1558.404, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>82</td><td>772.086</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>39000</td><td>List(1, 6, List(), List(772.086, 6.0, 7.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>83</td><td>711.6</td><td>8</td><td>9</td><td>2</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(711.6, 8.0, 9.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>84</td><td>747.18</td><td>5</td><td>9</td><td>2</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(747.18, 5.0, 9.0, 2.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>85</td><td>1227.51</td><td>5</td><td>12</td><td>3</td><td>1</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1227.51, 5.0, 12.0, 3.0, 1.0, 2.0))</td><td>47521.875</td></tr><tr><td>86</td><td>1451.664</td><td>2</td><td>5</td><td>3</td><td>3</td><td>2</td><td>46000</td><td>List(1, 6, List(), List(1451.664, 2.0, 5.0, 3.0, 3.0, 2.0))</td><td>47521.875</td></tr><tr><td>87</td><td>3255.57</td><td>4</td><td>7</td><td>4</td><td>2</td><td>4</td><td>130000</td><td>List(1, 6, List(), List(3255.57, 4.0, 7.0, 4.0, 2.0, 4.0))</td><td>130000.0</td></tr><tr><td>88</td><td>1779.0</td><td>7</td><td>12</td><td>4</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1779.0, 7.0, 12.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>89</td><td>1892.856</td><td>2</td><td>7</td><td>4</td><td>2</td><td>3</td><td>78000</td><td>List(1, 6, List(), List(1892.856, 2.0, 7.0, 4.0, 2.0, 3.0))</td><td>85000.0</td></tr><tr><td>90</td><td>2312.7</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(2312.7, 7.0, 15.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>91</td><td>1992.48</td><td>5</td><td>12</td><td>3</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1992.48, 5.0, 12.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>92</td><td>2063.64</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(2063.64, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>93</td><td>1529.94</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>49800</td><td>List(1, 6, List(), List(1529.94, 2.0, 7.0, 2.0, 2.0, 2.0))</td><td>61742.857142857145</td></tr><tr><td>94</td><td>2145.474</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>79999</td><td>List(1, 6, List(), List(2145.474, 5.0, 6.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>95</td><td>2170.38</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(2170.38, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>96</td><td>1771.884</td><td>4</td><td>7</td><td>4</td><td>2</td><td>2</td><td>57000</td><td>List(1, 6, List(), List(1771.884, 4.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>97</td><td>1956.9</td><td>6</td><td>17</td><td>4</td><td>2</td><td>2</td><td>66000</td><td>List(1, 6, List(), List(1956.9, 6.0, 17.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>98</td><td>1743.42</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1743.42, 3.0, 7.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>99</td><td>1707.84</td><td>13</td><td>20</td><td>2</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1707.84, 13.0, 20.0, 2.0, 2.0, 2.0))</td><td>51916.666666666664</td></tr><tr><td>100</td><td>2063.64</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(2063.64, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>102</td><td>2366.07</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(2366.07, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>103</td><td>1814.58</td><td>2</td><td>16</td><td>3</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1814.58, 2.0, 16.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>104</td><td>2938.908</td><td>2</td><td>25</td><td>4</td><td>2</td><td>2</td><td>95000</td><td>List(1, 6, List(), List(2938.908, 2.0, 25.0, 4.0, 2.0, 2.0))</td><td>96500.0</td></tr><tr><td>105</td><td>3173.736</td><td>3</td><td>9</td><td>3</td><td>2</td><td>3</td><td>150000</td><td>List(1, 6, List(), List(3173.736, 3.0, 9.0, 3.0, 2.0, 3.0))</td><td>143922.92307692306</td></tr><tr><td>106</td><td>2917.56</td><td>8</td><td>16</td><td>4</td><td>2</td><td>2</td><td>150000</td><td>List(1, 6, List(), List(2917.56, 8.0, 16.0, 4.0, 2.0, 2.0))</td><td>143922.92307692306</td></tr><tr><td>107</td><td>1786.116</td><td>3</td><td>6</td><td>4</td><td>2</td><td>3</td><td>98000</td><td>List(1, 6, List(), List(1786.116, 3.0, 6.0, 4.0, 2.0, 3.0))</td><td>85000.0</td></tr><tr><td>108</td><td>3202.2</td><td>12</td><td>12</td><td>5</td><td>3</td><td>3</td><td>80000</td><td>List(1, 6, List(), List(3202.2, 12.0, 12.0, 5.0, 3.0, 3.0))</td><td>80000.0</td></tr><tr><td>109</td><td>583.512</td><td>6</td><td>6</td><td>1</td><td>2</td><td>1</td><td>33000</td><td>List(1, 6, List(), List(583.512, 6.0, 6.0, 1.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>110</td><td>2099.22</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(2099.22, 7.0, 15.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>111</td><td>2063.64</td><td>7</td><td>15</td><td>2</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2063.64, 7.0, 15.0, 2.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>112</td><td>2099.22</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>52000</td><td>List(1, 6, List(), List(2099.22, 7.0, 15.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>113</td><td>857.478</td><td>6</td><td>9</td><td>4</td><td>2</td><td>2</td><td>52000</td><td>List(1, 6, List(), List(857.478, 6.0, 9.0, 4.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>114</td><td>2227.308</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>99999</td><td>List(1, 6, List(), List(2227.308, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>115</td><td>2088.546</td><td>8</td><td>19</td><td>3</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(2088.546, 8.0, 19.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>116</td><td>1423.2</td><td>7</td><td>14</td><td>3</td><td>2</td><td>2</td><td>92000</td><td>List(1, 6, List(), List(1423.2, 7.0, 14.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>117</td><td>1569.078</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1569.078, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>118</td><td>3202.2</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>149999</td><td>List(1, 6, List(), List(3202.2, 5.0, 6.0, 4.0, 2.0, 2.0))</td><td>143922.92307692306</td></tr><tr><td>119</td><td>711.6</td><td>6</td><td>12</td><td>2</td><td>1</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(711.6, 6.0, 12.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>120</td><td>391.38</td><td>13</td><td>14</td><td>1</td><td>1</td><td>1</td><td>22000</td><td>List(1, 6, List(), List(391.38, 13.0, 14.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>121</td><td>960.66</td><td>2</td><td>14</td><td>2</td><td>2</td><td>2</td><td>33000</td><td>List(1, 6, List(), List(960.66, 2.0, 14.0, 2.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>122</td><td>878.826</td><td>10</td><td>14</td><td>2</td><td>1</td><td>1</td><td>48000</td><td>List(1, 6, List(), List(878.826, 10.0, 14.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>123</td><td>1280.88</td><td>10</td><td>12</td><td>3</td><td>2</td><td>2</td><td>53000</td><td>List(1, 6, List(), List(1280.88, 10.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>124</td><td>2134.8</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>68000</td><td>List(1, 6, List(), List(2134.8, 3.0, 6.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>125</td><td>2149.032</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2149.032, 5.0, 6.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>126</td><td>2543.97</td><td>9</td><td>12</td><td>3</td><td>2</td><td>2</td><td>120000</td><td>List(1, 6, List(), List(2543.97, 9.0, 12.0, 3.0, 2.0, 2.0))</td><td>109830.5294117647</td></tr><tr><td>127</td><td>1206.162</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td><td>List(1, 6, List(), List(1206.162, 7.0, 7.0, 2.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>128</td><td>1280.88</td><td>7</td><td>7</td><td>2</td><td>1</td><td>1</td><td>57000</td><td>List(1, 6, List(), List(1280.88, 7.0, 7.0, 2.0, 1.0, 1.0))</td><td>47521.875</td></tr><tr><td>129</td><td>2067.198</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2067.198, 4.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>130</td><td>1184.814</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1184.814, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>131</td><td>732.948</td><td>8</td><td>11</td><td>2</td><td>1</td><td>1</td><td>27000</td><td>List(1, 6, List(), List(732.948, 8.0, 11.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>132</td><td>1529.94</td><td>6</td><td>12</td><td>3</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1529.94, 6.0, 12.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>133</td><td>1572.636</td><td>2</td><td>5</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1572.636, 2.0, 5.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>134</td><td>2540.412</td><td>18</td><td>18</td><td>4</td><td>2</td><td>2</td><td>89000</td><td>List(1, 6, List(), List(2540.412, 18.0, 18.0, 4.0, 2.0, 2.0))</td><td>109830.5294117647</td></tr><tr><td>135</td><td>1135.002</td><td>7</td><td>12</td><td>3</td><td>2</td><td>1</td><td>40000</td><td>List(1, 6, List(), List(1135.002, 7.0, 12.0, 3.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>136</td><td>1544.172</td><td>5</td><td>16</td><td>3</td><td>2</td><td>2</td><td>99999</td><td>List(1, 6, List(), List(1544.172, 5.0, 16.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>137</td><td>1921.32</td><td>4</td><td>7</td><td>4</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1921.32, 4.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>138</td><td>772.086</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>39000</td><td>List(1, 6, List(), List(772.086, 6.0, 7.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>139</td><td>1754.094</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1754.094, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>140</td><td>2558.202</td><td>2</td><td>10</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2558.202, 2.0, 10.0, 3.0, 2.0, 2.0))</td><td>80000.0</td></tr><tr><td>141</td><td>1195.488</td><td>10</td><td>16</td><td>3</td><td>2</td><td>2</td><td>86888</td><td>List(1, 6, List(), List(1195.488, 10.0, 16.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>142</td><td>3323.172</td><td>19</td><td>21</td><td>5</td><td>3</td><td>4</td><td>140000</td><td>List(1, 6, List(), List(3323.172, 19.0, 21.0, 5.0, 3.0, 4.0))</td><td>140000.0</td></tr><tr><td>143</td><td>1223.952</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>58888</td><td>List(1, 6, List(), List(1223.952, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>144</td><td>1184.814</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td><td>List(1, 6, List(), List(1184.814, 7.0, 7.0, 2.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>145</td><td>1223.952</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>41888</td><td>List(1, 6, List(), List(1223.952, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>146</td><td>1245.3</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>39000</td><td>List(1, 6, List(), List(1245.3, 5.0, 6.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>147</td><td>533.7</td><td>10</td><td>12</td><td>2</td><td>1</td><td>1</td><td>29999</td><td>List(1, 6, List(), List(533.7, 10.0, 12.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>148</td><td>2028.06</td><td>6</td><td>15</td><td>4</td><td>2</td><td>2</td><td>88000</td><td>List(1, 6, List(), List(2028.06, 6.0, 15.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>149</td><td>4981.2</td><td>3</td><td>38</td><td>3</td><td>2</td><td>3</td><td>225000</td><td>List(1, 6, List(), List(4981.2, 3.0, 38.0, 3.0, 2.0, 3.0))</td><td>200125.0</td></tr><tr><td>150</td><td>1245.3</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>40999</td><td>List(1, 6, List(), List(1245.3, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>151</td><td>1707.84</td><td>3</td><td>20</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1707.84, 3.0, 20.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>152</td><td>1779.0</td><td>10</td><td>13</td><td>4</td><td>2</td><td>2</td><td>97999</td><td>List(1, 6, List(), List(1779.0, 10.0, 13.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>153</td><td>1956.9</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>77000</td><td>List(1, 6, List(), List(1956.9, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>154</td><td>1779.0</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>57000</td><td>List(1, 6, List(), List(1779.0, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>155</td><td>889.5</td><td>10</td><td>14</td><td>2</td><td>1</td><td>1</td><td>52000</td><td>List(1, 6, List(), List(889.5, 10.0, 14.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>156</td><td>996.24</td><td>11</td><td>14</td><td>3</td><td>2</td><td>2</td><td>44999</td><td>List(1, 6, List(), List(996.24, 11.0, 14.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>158</td><td>1067.4</td><td>4</td><td>7</td><td>3</td><td>2</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(1067.4, 4.0, 7.0, 3.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>159</td><td>900.174</td><td>10</td><td>21</td><td>1</td><td>2</td><td>1</td><td>50000</td><td>List(1, 6, List(), List(900.174, 10.0, 21.0, 1.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>160</td><td>1704.282</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>59888</td><td>List(1, 6, List(), List(1704.282, 3.0, 6.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>161</td><td>1284.438</td><td>6</td><td>12</td><td>3</td><td>2</td><td>2</td><td>41000</td><td>List(1, 6, List(), List(1284.438, 6.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>162</td><td>1565.52</td><td>2</td><td>6</td><td>3</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(1565.52, 2.0, 6.0, 3.0, 2.0, 1.0))</td><td>59266.26666666667</td></tr><tr><td>163</td><td>1487.244</td><td>1</td><td>7</td><td>3</td><td>2</td><td>3</td><td>68000</td><td>List(1, 6, List(), List(1487.244, 1.0, 7.0, 3.0, 2.0, 3.0))</td><td>82000.0</td></tr><tr><td>164</td><td>572.838</td><td>14</td><td>14</td><td>1</td><td>1</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(572.838, 14.0, 14.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>165</td><td>683.136</td><td>4</td><td>5</td><td>2</td><td>2</td><td>1</td><td>28000</td><td>List(1, 6, List(), List(683.136, 4.0, 5.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>166</td><td>4091.7</td><td>2</td><td>15</td><td>3</td><td>2</td><td>4</td><td>180000</td><td>List(1, 6, List(), List(4091.7, 2.0, 15.0, 3.0, 2.0, 4.0))</td><td>180000.0</td></tr><tr><td>167</td><td>1124.328</td><td>3</td><td>5</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1124.328, 3.0, 5.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>168</td><td>1789.674</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>88000</td><td>List(1, 6, List(), List(1789.674, 10.0, 12.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>169</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(1889.298, 2.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>170</td><td>2205.96</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2205.96, 4.0, 15.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>171</td><td>1601.1</td><td>5</td><td>12</td><td>2</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1601.1, 5.0, 12.0, 2.0, 2.0, 2.0))</td><td>51916.666666666664</td></tr><tr><td>172</td><td>1085.19</td><td>12</td><td>19</td><td>2</td><td>2</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(1085.19, 12.0, 19.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>173</td><td>1921.32</td><td>4</td><td>7</td><td>4</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1921.32, 4.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>174</td><td>1707.84</td><td>9</td><td>15</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(1707.84, 9.0, 15.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>175</td><td>2120.568</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>98000</td><td>List(1, 6, List(), List(2120.568, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>176</td><td>2782.356</td><td>12</td><td>13</td><td>3</td><td>2</td><td>3</td><td>120000</td><td>List(1, 6, List(), List(2782.356, 12.0, 13.0, 3.0, 2.0, 3.0))</td><td>109830.5294117647</td></tr><tr><td>177</td><td>914.406</td><td>2</td><td>4</td><td>2</td><td>2</td><td>1</td><td>37000</td><td>List(1, 6, List(), List(914.406, 2.0, 4.0, 2.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>178</td><td>1850.16</td><td>16</td><td>18</td><td>4</td><td>2</td><td>3</td><td>82000</td><td>List(1, 6, List(), List(1850.16, 16.0, 18.0, 4.0, 2.0, 3.0))</td><td>83173.27710843373</td></tr><tr><td>179</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(1889.298, 2.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>180</td><td>1245.3</td><td>2</td><td>5</td><td>3</td><td>2</td><td>2</td><td>35000</td><td>List(1, 6, List(), List(1245.3, 2.0, 5.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>181</td><td>1494.36</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>49800</td><td>List(1, 6, List(), List(1494.36, 2.0, 7.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>182</td><td>1487.244</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>33700</td><td>List(1, 6, List(), List(1487.244, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>183</td><td>1690.05</td><td>7</td><td>14</td><td>3</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1690.05, 7.0, 14.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>184</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(796.992, 3.0, 12.0, 2.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>185</td><td>3255.57</td><td>4</td><td>7</td><td>4</td><td>2</td><td>5</td><td>130000</td><td>List(1, 6, List(), List(3255.57, 4.0, 7.0, 4.0, 2.0, 5.0))</td><td>130000.0</td></tr><tr><td>186</td><td>1063.842</td><td>3</td><td>7</td><td>2</td><td>1</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(1063.842, 3.0, 7.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>187</td><td>1263.09</td><td>5</td><td>7</td><td>2</td><td>1</td><td>2</td><td>37000</td><td>List(1, 6, List(), List(1263.09, 5.0, 7.0, 2.0, 1.0, 2.0))</td><td>47521.875</td></tr><tr><td>188</td><td>1352.04</td><td>5</td><td>5</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1352.04, 5.0, 5.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>189</td><td>1287.996</td><td>4</td><td>5</td><td>4</td><td>2</td><td>2</td><td>30000</td><td>List(1, 6, List(), List(1287.996, 4.0, 5.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>190</td><td>1167.024</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td><td>List(1, 6, List(), List(1167.024, 3.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>191</td><td>1167.024</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td><td>List(1, 6, List(), List(1167.024, 3.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>192</td><td>1839.486</td><td>2</td><td>13</td><td>1</td><td>0</td><td>1</td><td>67000</td><td>List(1, 6, List(), List(1839.486, 2.0, 13.0, 1.0, 0.0, 1.0))</td><td>83173.27710843373</td></tr><tr><td>193</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(796.992, 3.0, 12.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>194</td><td>601.302</td><td>2</td><td>9</td><td>1</td><td>1</td><td>1</td><td>38000</td><td>List(1, 6, List(), List(601.302, 2.0, 9.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>195</td><td>2156.148</td><td>12</td><td>17</td><td>3</td><td>2</td><td>3</td><td>75000</td><td>List(1, 6, List(), List(2156.148, 12.0, 17.0, 3.0, 2.0, 3.0))</td><td>83173.27710843373</td></tr><tr><td>196</td><td>2138.358</td><td>11</td><td>14</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(2138.358, 11.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>197</td><td>1779.0</td><td>2</td><td>9</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1779.0, 2.0, 9.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>198</td><td>1779.0</td><td>8</td><td>15</td><td>3</td><td>2</td><td>2</td><td>85000</td><td>List(1, 6, List(), List(1779.0, 8.0, 15.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>199</td><td>1732.746</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1732.746, 8.0, 12.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>200</td><td>526.584</td><td>13</td><td>17</td><td>2</td><td>1</td><td>1</td><td>29500</td><td>List(1, 6, List(), List(526.584, 13.0, 17.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>201</td><td>718.716</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(718.716, 5.0, 7.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>202</td><td>1601.1</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>33500</td><td>List(1, 6, List(), List(1601.1, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>203</td><td>1174.14</td><td>14</td><td>14</td><td>3</td><td>2</td><td>1</td><td>26000</td><td>List(1, 6, List(), List(1174.14, 14.0, 14.0, 3.0, 2.0, 1.0))</td><td>51125.0</td></tr><tr><td>204</td><td>1408.968</td><td>9</td><td>9</td><td>2</td><td>2</td><td>2</td><td>65999</td><td>List(1, 6, List(), List(1408.968, 9.0, 9.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>205</td><td>1387.62</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1387.62, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>206</td><td>604.86</td><td>3</td><td>12</td><td>1</td><td>1</td><td>1</td><td>23800</td><td>List(1, 6, List(), List(604.86, 3.0, 12.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>207</td><td>1380.504</td><td>6</td><td>13</td><td>3</td><td>2</td><td>2</td><td>49999</td><td>List(1, 6, List(), List(1380.504, 6.0, 13.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>208</td><td>2134.8</td><td>2</td><td>13</td><td>1</td><td>2</td><td>2</td><td>58000</td><td>List(1, 6, List(), List(2134.8, 2.0, 13.0, 1.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>209</td><td>740.064</td><td>10</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(740.064, 10.0, 12.0, 2.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>210</td><td>1031.82</td><td>5</td><td>12</td><td>2</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1031.82, 5.0, 12.0, 2.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>211</td><td>1526.382</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1526.382, 8.0, 12.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>212</td><td>1601.1</td><td>1</td><td>4</td><td>3</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1601.1, 1.0, 4.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>213</td><td>1423.2</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1423.2, 13.0, 21.0, 2.0, 2.0, 2.0))</td><td>51125.0</td></tr><tr><td>214</td><td>384.264</td><td>2</td><td>9</td><td>1</td><td>1</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(384.264, 2.0, 9.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>215</td><td>1996.038</td><td>5</td><td>12</td><td>3</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1996.038, 5.0, 12.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>216</td><td>718.716</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(718.716, 5.0, 7.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>217</td><td>1366.272</td><td>4</td><td>11</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1366.272, 4.0, 11.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>218</td><td>1743.42</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1743.42, 3.0, 12.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>219</td><td>1636.68</td><td>4</td><td>4</td><td>4</td><td>2</td><td>2</td><td>52000</td><td>List(1, 6, List(), List(1636.68, 4.0, 4.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>220</td><td>1903.53</td><td>8</td><td>13</td><td>3</td><td>2</td><td>2</td><td>120000</td><td>List(1, 6, List(), List(1903.53, 8.0, 13.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>221</td><td>668.904</td><td>5</td><td>6</td><td>2</td><td>1</td><td>1</td><td>28000</td><td>List(1, 6, List(), List(668.904, 5.0, 6.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>222</td><td>2430.114</td><td>12</td><td>25</td><td>4</td><td>2</td><td>2</td><td>110000</td><td>List(1, 6, List(), List(2430.114, 12.0, 25.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>223</td><td>1298.67</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td><td>List(1, 6, List(), List(1298.67, 7.0, 7.0, 2.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>224</td><td>2138.358</td><td>11</td><td>14</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(2138.358, 11.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>225</td><td>2963.814</td><td>2</td><td>25</td><td>4</td><td>2</td><td>2</td><td>95000</td><td>List(1, 6, List(), List(2963.814, 2.0, 25.0, 4.0, 2.0, 2.0))</td><td>96500.0</td></tr><tr><td>226</td><td>533.7</td><td>14</td><td>16</td><td>1</td><td>1</td><td>1</td><td>25000</td><td>List(1, 6, List(), List(533.7, 14.0, 16.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>227</td><td>2262.888</td><td>4</td><td>14</td><td>3</td><td>2</td><td>2</td><td>120000</td><td>List(1, 6, List(), List(2262.888, 4.0, 14.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>228</td><td>590.628</td><td>8</td><td>9</td><td>1</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(590.628, 8.0, 9.0, 1.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>229</td><td>964.218</td><td>5</td><td>14</td><td>2</td><td>1</td><td>1</td><td>28000</td><td>List(1, 6, List(), List(964.218, 5.0, 14.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>230</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(796.992, 3.0, 12.0, 2.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>231</td><td>2408.766</td><td>6</td><td>13</td><td>4</td><td>2</td><td>3</td><td>80000</td><td>List(1, 6, List(), List(2408.766, 6.0, 13.0, 4.0, 2.0, 3.0))</td><td>83173.27710843373</td></tr><tr><td>232</td><td>1700.724</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1700.724, 13.0, 21.0, 2.0, 2.0, 2.0))</td><td>51916.666666666664</td></tr><tr><td>233</td><td>1672.26</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1672.26, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>234</td><td>1469.454</td><td>6</td><td>7</td><td>2</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1469.454, 6.0, 7.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>235</td><td>2067.198</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2067.198, 4.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>236</td><td>1754.094</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1754.094, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>237</td><td>1757.652</td><td>4</td><td>16</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1757.652, 4.0, 16.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>238</td><td>587.07</td><td>5</td><td>7</td><td>1</td><td>1</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(587.07, 5.0, 7.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>239</td><td>1487.244</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1487.244, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>240</td><td>1487.244</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1487.244, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>241</td><td>789.876</td><td>7</td><td>9</td><td>1</td><td>1</td><td>1</td><td>42000</td><td>List(1, 6, List(), List(789.876, 7.0, 9.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>242</td><td>2006.712</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>68000</td><td>List(1, 6, List(), List(2006.712, 3.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>243</td><td>871.71</td><td>8</td><td>14</td><td>2</td><td>1</td><td>1</td><td>41999</td><td>List(1, 6, List(), List(871.71, 8.0, 14.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>244</td><td>1522.824</td><td>11</td><td>11</td><td>4</td><td>2</td><td>3</td><td>60000</td><td>List(1, 6, List(), List(1522.824, 11.0, 11.0, 4.0, 2.0, 3.0))</td><td>59266.26666666667</td></tr><tr><td>245</td><td>3173.736</td><td>3</td><td>9</td><td>4</td><td>2</td><td>3</td><td>160000</td><td>List(1, 6, List(), List(3173.736, 3.0, 9.0, 4.0, 2.0, 3.0))</td><td>143922.92307692306</td></tr><tr><td>246</td><td>1899.972</td><td>21</td><td>27</td><td>4</td><td>2</td><td>2</td><td>57000</td><td>List(1, 6, List(), List(1899.972, 21.0, 27.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>247</td><td>2205.96</td><td>8</td><td>10</td><td>3</td><td>2</td><td>3</td><td>120000</td><td>List(1, 6, List(), List(2205.96, 8.0, 10.0, 3.0, 2.0, 3.0))</td><td>83173.27710843373</td></tr><tr><td>248</td><td>1106.538</td><td>3</td><td>12</td><td>1</td><td>2</td><td>1</td><td>50000</td><td>List(1, 6, List(), List(1106.538, 3.0, 12.0, 1.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>249</td><td>2668.5</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>138888</td><td>List(1, 6, List(), List(2668.5, 5.0, 12.0, 4.0, 2.0, 2.0))</td><td>109830.5294117647</td></tr><tr><td>250</td><td>882.384</td><td>10</td><td>14</td><td>1</td><td>1</td><td>1</td><td>48800</td><td>List(1, 6, List(), List(882.384, 10.0, 14.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>251</td><td>3255.57</td><td>4</td><td>7</td><td>4</td><td>2</td><td>5</td><td>120000</td><td>List(1, 6, List(), List(3255.57, 4.0, 7.0, 4.0, 2.0, 5.0))</td><td>130000.0</td></tr><tr><td>252</td><td>2138.358</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>43000</td><td>List(1, 6, List(), List(2138.358, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>253</td><td>1579.752</td><td>4</td><td>15</td><td>3</td><td>1</td><td>2</td><td>99990</td><td>List(1, 6, List(), List(1579.752, 4.0, 15.0, 3.0, 1.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>254</td><td>2768.124</td><td>8</td><td>19</td><td>3</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(2768.124, 8.0, 19.0, 3.0, 2.0, 2.0))</td><td>109830.5294117647</td></tr><tr><td>255</td><td>2081.43</td><td>10</td><td>17</td><td>2</td><td>2</td><td>2</td><td>68000</td><td>List(1, 6, List(), List(2081.43, 10.0, 17.0, 2.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>256</td><td>1700.724</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1700.724, 13.0, 21.0, 2.0, 2.0, 2.0))</td><td>51916.666666666664</td></tr><tr><td>257</td><td>2134.8</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>43000</td><td>List(1, 6, List(), List(2134.8, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>258</td><td>718.716</td><td>5</td><td>12</td><td>2</td><td>1</td><td>1</td><td>34800</td><td>List(1, 6, List(), List(718.716, 5.0, 12.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>259</td><td>754.296</td><td>5</td><td>7</td><td>2</td><td>1</td><td>1</td><td>80000</td><td>List(1, 6, List(), List(754.296, 5.0, 7.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>260</td><td>1387.62</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1387.62, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>261</td><td>3558.0</td><td>1</td><td>5</td><td>2</td><td>2</td><td>2</td><td>63000</td><td>List(1, 6, List(), List(3558.0, 1.0, 5.0, 2.0, 2.0, 2.0))</td><td>63000.0</td></tr><tr><td>262</td><td>1515.708</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>49800</td><td>List(1, 6, List(), List(1515.708, 2.0, 7.0, 2.0, 2.0, 2.0))</td><td>61742.857142857145</td></tr><tr><td>263</td><td>914.406</td><td>12</td><td>12</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(914.406, 12.0, 12.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>264</td><td>711.6</td><td>8</td><td>14</td><td>1</td><td>1</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(711.6, 8.0, 14.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>265</td><td>1487.244</td><td>2</td><td>6</td><td>2</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1487.244, 2.0, 6.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>266</td><td>2138.358</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>43000</td><td>List(1, 6, List(), List(2138.358, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>267</td><td>1127.886</td><td>4</td><td>5</td><td>3</td><td>2</td><td>2</td><td>26000</td><td>List(1, 6, List(), List(1127.886, 4.0, 5.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>268</td><td>1135.002</td><td>2</td><td>7</td><td>3</td><td>2</td><td>1</td><td>37000</td><td>List(1, 6, List(), List(1135.002, 2.0, 7.0, 3.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>269</td><td>665.346</td><td>6</td><td>7</td><td>1</td><td>1</td><td>1</td><td>25000</td><td>List(1, 6, List(), List(665.346, 6.0, 7.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>270</td><td>925.08</td><td>2</td><td>4</td><td>2</td><td>2</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(925.08, 2.0, 4.0, 2.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>271</td><td>1209.72</td><td>3</td><td>4</td><td>3</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1209.72, 3.0, 4.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>272</td><td>1337.808</td><td>8</td><td>19</td><td>3</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1337.808, 8.0, 19.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>273</td><td>1366.272</td><td>4</td><td>11</td><td>4</td><td>2</td><td>2</td><td>49999</td><td>List(1, 6, List(), List(1366.272, 4.0, 11.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>274</td><td>2052.966</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>77999</td><td>List(1, 6, List(), List(2052.966, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>275</td><td>711.6</td><td>8</td><td>14</td><td>1</td><td>1</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(711.6, 8.0, 14.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>276</td><td>533.7</td><td>7</td><td>12</td><td>1</td><td>1</td><td>1</td><td>17000</td><td>List(1, 6, List(), List(533.7, 7.0, 12.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>277</td><td>1138.56</td><td>4</td><td>5</td><td>3</td><td>2</td><td>2</td><td>26000</td><td>List(1, 6, List(), List(1138.56, 4.0, 5.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>278</td><td>1458.78</td><td>4</td><td>12</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1458.78, 4.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>279</td><td>1245.3</td><td>5</td><td>7</td><td>2</td><td>2</td><td>2</td><td>37000</td><td>List(1, 6, List(), List(1245.3, 5.0, 7.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>280</td><td>1814.58</td><td>6</td><td>14</td><td>4</td><td>2</td><td>2</td><td>90000</td><td>List(1, 6, List(), List(1814.58, 6.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>281</td><td>1515.708</td><td>4</td><td>7</td><td>2</td><td>2</td><td>2</td><td>88000</td><td>List(1, 6, List(), List(1515.708, 4.0, 7.0, 2.0, 2.0, 2.0))</td><td>61742.857142857145</td></tr><tr><td>282</td><td>811.224</td><td>5</td><td>12</td><td>2</td><td>1</td><td>1</td><td>43500</td><td>List(1, 6, List(), List(811.224, 5.0, 12.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>283</td><td>359.358</td><td>12</td><td>12</td><td>1</td><td>1</td><td>1</td><td>26000</td><td>List(1, 6, List(), List(359.358, 12.0, 12.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>284</td><td>1882.182</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1882.182, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>285</td><td>1419.642</td><td>6</td><td>12</td><td>4</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1419.642, 6.0, 12.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>286</td><td>1394.736</td><td>12</td><td>12</td><td>2</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(1394.736, 12.0, 12.0, 2.0, 2.0, 1.0))</td><td>51125.0</td></tr><tr><td>287</td><td>2063.64</td><td>3</td><td>6</td><td>4</td><td>2</td><td>3</td><td>88000</td><td>List(1, 6, List(), List(2063.64, 3.0, 6.0, 4.0, 2.0, 3.0))</td><td>85000.0</td></tr><tr><td>288</td><td>1661.586</td><td>10</td><td>12</td><td>1</td><td>1</td><td>1</td><td>50000</td><td>List(1, 6, List(), List(1661.586, 10.0, 12.0, 1.0, 1.0, 1.0))</td><td>51916.666666666664</td></tr><tr><td>289</td><td>3504.63</td><td>13</td><td>14</td><td>2</td><td>2</td><td>2</td><td>250000</td><td>List(1, 6, List(), List(3504.63, 13.0, 14.0, 2.0, 2.0, 2.0))</td><td>250000.0</td></tr><tr><td>291</td><td>1871.508</td><td>8</td><td>9</td><td>3</td><td>2</td><td>2</td><td>88000</td><td>List(1, 6, List(), List(1871.508, 8.0, 9.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>292</td><td>640.44</td><td>14</td><td>14</td><td>1</td><td>1</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(640.44, 14.0, 14.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>293</td><td>2430.114</td><td>5</td><td>25</td><td>3</td><td>2</td><td>2</td><td>88000</td><td>List(1, 6, List(), List(2430.114, 5.0, 25.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>294</td><td>1519.266</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>49800</td><td>List(1, 6, List(), List(1519.266, 2.0, 7.0, 2.0, 2.0, 2.0))</td><td>61742.857142857145</td></tr><tr><td>295</td><td>761.412</td><td>8</td><td>13</td><td>1</td><td>1</td><td>1</td><td>26000</td><td>List(1, 6, List(), List(761.412, 8.0, 13.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>296</td><td>1903.53</td><td>8</td><td>13</td><td>2</td><td>2</td><td>2</td><td>120000</td><td>List(1, 6, List(), List(1903.53, 8.0, 13.0, 2.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>297</td><td>1163.466</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1163.466, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>298</td><td>1779.0</td><td>4</td><td>4</td><td>4</td><td>2</td><td>2</td><td>51999</td><td>List(1, 6, List(), List(1779.0, 4.0, 4.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>299</td><td>1579.752</td><td>10</td><td>12</td><td>4</td><td>1</td><td>1</td><td>65000</td><td>List(1, 6, List(), List(1579.752, 10.0, 12.0, 4.0, 1.0, 1.0))</td><td>71673.17647058824</td></tr><tr><td>300</td><td>3145.272</td><td>2</td><td>25</td><td>4</td><td>2</td><td>2</td><td>98000</td><td>List(1, 6, List(), List(3145.272, 2.0, 25.0, 4.0, 2.0, 2.0))</td><td>96500.0</td></tr><tr><td>301</td><td>3148.83</td><td>2</td><td>25</td><td>4</td><td>2</td><td>2</td><td>98000</td><td>List(1, 6, List(), List(3148.83, 2.0, 25.0, 4.0, 2.0, 2.0))</td><td>96500.0</td></tr><tr><td>302</td><td>2700.522</td><td>15</td><td>21</td><td>5</td><td>2</td><td>4</td><td>100000</td><td>List(1, 6, List(), List(2700.522, 15.0, 21.0, 5.0, 2.0, 4.0))</td><td>109830.5294117647</td></tr><tr><td>303</td><td>3664.74</td><td>9</td><td>13</td><td>5</td><td>1</td><td>2</td><td>206000</td><td>List(1, 6, List(), List(3664.74, 9.0, 13.0, 5.0, 1.0, 2.0))</td><td>200125.0</td></tr><tr><td>304</td><td>2134.8</td><td>2</td><td>6</td><td>3</td><td>2</td><td>2</td><td>68000</td><td>List(1, 6, List(), List(2134.8, 2.0, 6.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>305</td><td>1700.724</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1700.724, 13.0, 21.0, 2.0, 2.0, 2.0))</td><td>51916.666666666664</td></tr><tr><td>306</td><td>1380.504</td><td>6</td><td>13</td><td>3</td><td>2</td><td>2</td><td>49800</td><td>List(1, 6, List(), List(1380.504, 6.0, 13.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>307</td><td>2052.966</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>77999</td><td>List(1, 6, List(), List(2052.966, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>308</td><td>1871.508</td><td>11</td><td>12</td><td>4</td><td>2</td><td>2</td><td>49999</td><td>List(1, 6, List(), List(1871.508, 11.0, 12.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>309</td><td>1430.316</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>44999</td><td>List(1, 6, List(), List(1430.316, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>310</td><td>1579.752</td><td>4</td><td>15</td><td>3</td><td>1</td><td>2</td><td>99999</td><td>List(1, 6, List(), List(1579.752, 4.0, 15.0, 3.0, 1.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>311</td><td>1672.26</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>58000</td><td>List(1, 6, List(), List(1672.26, 4.0, 15.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>312</td><td>1270.206</td><td>3</td><td>14</td><td>2</td><td>2</td><td>1</td><td>42000</td><td>List(1, 6, List(), List(1270.206, 3.0, 14.0, 2.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>313</td><td>1245.3</td><td>3</td><td>12</td><td>1</td><td>2</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(1245.3, 3.0, 12.0, 1.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>314</td><td>1458.78</td><td>4</td><td>6</td><td>2</td><td>1</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1458.78, 4.0, 6.0, 2.0, 1.0, 2.0))</td><td>47521.875</td></tr><tr><td>315</td><td>1707.84</td><td>1</td><td>5</td><td>2</td><td>2</td><td>2</td><td>37000</td><td>List(1, 6, List(), List(1707.84, 1.0, 5.0, 2.0, 2.0, 2.0))</td><td>51916.666666666664</td></tr><tr><td>316</td><td>1515.708</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>48800</td><td>List(1, 6, List(), List(1515.708, 2.0, 7.0, 2.0, 2.0, 2.0))</td><td>61742.857142857145</td></tr><tr><td>317</td><td>1408.968</td><td>3</td><td>4</td><td>4</td><td>2</td><td>2</td><td>39999</td><td>List(1, 6, List(), List(1408.968, 3.0, 4.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>318</td><td>1476.57</td><td>6</td><td>6</td><td>3</td><td>2</td><td>2</td><td>49999</td><td>List(1, 6, List(), List(1476.57, 6.0, 6.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>319</td><td>1700.724</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1700.724, 13.0, 21.0, 2.0, 2.0, 2.0))</td><td>51916.666666666664</td></tr><tr><td>320</td><td>2590.224</td><td>7</td><td>7</td><td>4</td><td>3</td><td>3</td><td>77999</td><td>List(1, 6, List(), List(2590.224, 7.0, 7.0, 4.0, 3.0, 3.0))</td><td>109830.5294117647</td></tr><tr><td>321</td><td>2408.766</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>74999</td><td>List(1, 6, List(), List(2408.766, 4.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>322</td><td>1779.0</td><td>10</td><td>10</td><td>3</td><td>2</td><td>2</td><td>90000</td><td>List(1, 6, List(), List(1779.0, 10.0, 10.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>323</td><td>2099.22</td><td>4</td><td>8</td><td>3</td><td>2</td><td>2</td><td>63000</td><td>List(1, 6, List(), List(2099.22, 4.0, 8.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>324</td><td>1206.162</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>59500</td><td>List(1, 6, List(), List(1206.162, 7.0, 7.0, 2.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>325</td><td>989.124</td><td>13</td><td>13</td><td>2</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(989.124, 13.0, 13.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>326</td><td>3173.736</td><td>3</td><td>9</td><td>3</td><td>2</td><td>3</td><td>160000</td><td>List(1, 6, List(), List(3173.736, 3.0, 9.0, 3.0, 2.0, 3.0))</td><td>143922.92307692306</td></tr><tr><td>327</td><td>2444.346</td><td>7</td><td>15</td><td>4</td><td>2</td><td>3</td><td>73000</td><td>List(1, 6, List(), List(2444.346, 7.0, 15.0, 4.0, 2.0, 3.0))</td><td>83173.27710843373</td></tr><tr><td>328</td><td>722.274</td><td>11</td><td>13</td><td>2</td><td>1</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(722.274, 11.0, 13.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>329</td><td>1707.84</td><td>3</td><td>14</td><td>3</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1707.84, 3.0, 14.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>330</td><td>1444.548</td><td>6</td><td>7</td><td>2</td><td>2</td><td>1</td><td>53000</td><td>List(1, 6, List(), List(1444.548, 6.0, 7.0, 2.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>331</td><td>2892.654</td><td>19</td><td>21</td><td>5</td><td>3</td><td>4</td><td>170000</td><td>List(1, 6, List(), List(2892.654, 19.0, 21.0, 5.0, 3.0, 4.0))</td><td>155000.0</td></tr><tr><td>332</td><td>711.6</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(711.6, 5.0, 7.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>333</td><td>1423.2</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1423.2, 13.0, 21.0, 2.0, 2.0, 2.0))</td><td>51125.0</td></tr><tr><td>334</td><td>1494.36</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>48800</td><td>List(1, 6, List(), List(1494.36, 2.0, 7.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>335</td><td>2184.612</td><td>2</td><td>9</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2184.612, 2.0, 9.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>336</td><td>601.302</td><td>2</td><td>9</td><td>1</td><td>1</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(601.302, 2.0, 9.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>337</td><td>3558.0</td><td>1</td><td>7</td><td>3</td><td>2</td><td>2</td><td>160000</td><td>List(1, 6, List(), List(3558.0, 1.0, 7.0, 3.0, 2.0, 2.0))</td><td>170000.0</td></tr><tr><td>338</td><td>2102.778</td><td>6</td><td>12</td><td>3</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(2102.778, 6.0, 12.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>339</td><td>1138.56</td><td>3</td><td>4</td><td>3</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1138.56, 3.0, 4.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>340</td><td>1579.752</td><td>3</td><td>12</td><td>5</td><td>1</td><td>1</td><td>56000</td><td>List(1, 6, List(), List(1579.752, 3.0, 12.0, 5.0, 1.0, 1.0))</td><td>71673.17647058824</td></tr><tr><td>341</td><td>1135.002</td><td>7</td><td>12</td><td>3</td><td>2</td><td>1</td><td>40000</td><td>List(1, 6, List(), List(1135.002, 7.0, 12.0, 3.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>342</td><td>640.44</td><td>2</td><td>7</td><td>2</td><td>1</td><td>1</td><td>38000</td><td>List(1, 6, List(), List(640.44, 2.0, 7.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>343</td><td>1515.708</td><td>2</td><td>6</td><td>3</td><td>2</td><td>2</td><td>68000</td><td>List(1, 6, List(), List(1515.708, 2.0, 6.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>344</td><td>747.18</td><td>9</td><td>12</td><td>2</td><td>2</td><td>1</td><td>60000</td><td>List(1, 6, List(), List(747.18, 9.0, 12.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>345</td><td>754.296</td><td>5</td><td>14</td><td>2</td><td>2</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(754.296, 5.0, 14.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>346</td><td>2134.8</td><td>11</td><td>12</td><td>2</td><td>2</td><td>2</td><td>58000</td><td>List(1, 6, List(), List(2134.8, 11.0, 12.0, 2.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>347</td><td>1490.802</td><td>3</td><td>12</td><td>2</td><td>1</td><td>2</td><td>59888</td><td>List(1, 6, List(), List(1490.802, 3.0, 12.0, 2.0, 1.0, 2.0))</td><td>47521.875</td></tr><tr><td>348</td><td>1231.068</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>38888</td><td>List(1, 6, List(), List(1231.068, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>349</td><td>370.032</td><td>4</td><td>7</td><td>1</td><td>1</td><td>1</td><td>24888</td><td>List(1, 6, List(), List(370.032, 4.0, 7.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>350</td><td>772.086</td><td>6</td><td>7</td><td>2</td><td>2</td><td>1</td><td>39000</td><td>List(1, 6, List(), List(772.086, 6.0, 7.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>351</td><td>1622.448</td><td>1</td><td>6</td><td>3</td><td>2</td><td>2</td><td>130000</td><td>List(1, 6, List(), List(1622.448, 1.0, 6.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>352</td><td>925.08</td><td>2</td><td>4</td><td>2</td><td>1</td><td>1</td><td>31999</td><td>List(1, 6, List(), List(925.08, 2.0, 4.0, 2.0, 1.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>353</td><td>818.34</td><td>5</td><td>9</td><td>1</td><td>2</td><td>1</td><td>42000</td><td>List(1, 6, List(), List(818.34, 5.0, 9.0, 1.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>354</td><td>1384.062</td><td>6</td><td>13</td><td>3</td><td>2</td><td>2</td><td>49800</td><td>List(1, 6, List(), List(1384.062, 6.0, 13.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>355</td><td>540.816</td><td>5</td><td>11</td><td>1</td><td>1</td><td>1</td><td>29500</td><td>List(1, 6, List(), List(540.816, 5.0, 11.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>356</td><td>2561.76</td><td>10</td><td>17</td><td>4</td><td>2</td><td>3</td><td>100000</td><td>List(1, 6, List(), List(2561.76, 10.0, 17.0, 4.0, 2.0, 3.0))</td><td>109830.5294117647</td></tr><tr><td>357</td><td>1992.48</td><td>5</td><td>7</td><td>4</td><td>2</td><td>3</td><td>55000</td><td>List(1, 6, List(), List(1992.48, 5.0, 7.0, 4.0, 2.0, 3.0))</td><td>85000.0</td></tr><tr><td>358</td><td>1031.82</td><td>11</td><td>14</td><td>3</td><td>2</td><td>2</td><td>61000</td><td>List(1, 6, List(), List(1031.82, 11.0, 14.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>359</td><td>2063.64</td><td>2</td><td>17</td><td>3</td><td>2</td><td>3</td><td>85000</td><td>List(1, 6, List(), List(2063.64, 2.0, 17.0, 3.0, 2.0, 3.0))</td><td>83173.27710843373</td></tr><tr><td>360</td><td>2312.7</td><td>7</td><td>16</td><td>5</td><td>2</td><td>3</td><td>55000</td><td>List(1, 6, List(), List(2312.7, 7.0, 16.0, 5.0, 2.0, 3.0))</td><td>83173.27710843373</td></tr><tr><td>361</td><td>2383.86</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(2383.86, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>362</td><td>2134.8</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td><td>List(1, 6, List(), List(2134.8, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>363</td><td>2134.8</td><td>3</td><td>6</td><td>4</td><td>2</td><td>3</td><td>98000</td><td>List(1, 6, List(), List(2134.8, 3.0, 6.0, 4.0, 2.0, 3.0))</td><td>85000.0</td></tr><tr><td>364</td><td>1423.2</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1423.2, 3.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>365</td><td>1739.862</td><td>1</td><td>25</td><td>3</td><td>1</td><td>1</td><td>65000</td><td>List(1, 6, List(), List(1739.862, 1.0, 25.0, 3.0, 1.0, 1.0))</td><td>71673.17647058824</td></tr><tr><td>366</td><td>1191.93</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1191.93, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>367</td><td>711.6</td><td>6</td><td>14</td><td>1</td><td>1</td><td>1</td><td>39000</td><td>List(1, 6, List(), List(711.6, 6.0, 14.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>368</td><td>658.23</td><td>4</td><td>4</td><td>1</td><td>1</td><td>1</td><td>22000</td><td>List(1, 6, List(), List(658.23, 4.0, 4.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>369</td><td>537.258</td><td>22</td><td>26</td><td>1</td><td>0</td><td>1</td><td>19000</td><td>List(1, 6, List(), List(537.258, 22.0, 26.0, 1.0, 0.0, 1.0))</td><td>14633.333333333334</td></tr><tr><td>370</td><td>1515.708</td><td>4</td><td>7</td><td>2</td><td>2</td><td>2</td><td>88000</td><td>List(1, 6, List(), List(1515.708, 4.0, 7.0, 2.0, 2.0, 2.0))</td><td>61742.857142857145</td></tr><tr><td>371</td><td>1732.746</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1732.746, 8.0, 12.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>372</td><td>640.44</td><td>8</td><td>9</td><td>1</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(640.44, 8.0, 9.0, 1.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>373</td><td>925.08</td><td>2</td><td>4</td><td>2</td><td>1</td><td>1</td><td>31800</td><td>List(1, 6, List(), List(925.08, 2.0, 4.0, 2.0, 1.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>374</td><td>718.716</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>34800</td><td>List(1, 6, List(), List(718.716, 5.0, 12.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>375</td><td>426.96</td><td>9</td><td>12</td><td>1</td><td>0</td><td>1</td><td>13000</td><td>List(1, 6, List(), List(426.96, 9.0, 12.0, 1.0, 0.0, 1.0))</td><td>14633.333333333334</td></tr><tr><td>376</td><td>658.23</td><td>9</td><td>12</td><td>2</td><td>2</td><td>1</td><td>46000</td><td>List(1, 6, List(), List(658.23, 9.0, 12.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>377</td><td>1501.476</td><td>4</td><td>4</td><td>4</td><td>2</td><td>2</td><td>52000</td><td>List(1, 6, List(), List(1501.476, 4.0, 4.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>378</td><td>1771.884</td><td>4</td><td>7</td><td>4</td><td>2</td><td>2</td><td>57000</td><td>List(1, 6, List(), List(1771.884, 4.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>379</td><td>1167.024</td><td>2</td><td>12</td><td>3</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1167.024, 2.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>380</td><td>1252.416</td><td>8</td><td>12</td><td>3</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1252.416, 8.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>381</td><td>1697.166</td><td>3</td><td>12</td><td>4</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1697.166, 3.0, 12.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>382</td><td>1167.024</td><td>2</td><td>12</td><td>3</td><td>2</td><td>2</td><td>43000</td><td>List(1, 6, List(), List(1167.024, 2.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>383</td><td>2184.612</td><td>4</td><td>14</td><td>3</td><td>2</td><td>2</td><td>63000</td><td>List(1, 6, List(), List(2184.612, 4.0, 14.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>384</td><td>2170.38</td><td>9</td><td>15</td><td>4</td><td>2</td><td>2</td><td>110000</td><td>List(1, 6, List(), List(2170.38, 9.0, 15.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>385</td><td>1857.276</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1857.276, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>386</td><td>1996.038</td><td>5</td><td>12</td><td>3</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1996.038, 5.0, 12.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>387</td><td>1359.156</td><td>7</td><td>16</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1359.156, 7.0, 16.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>388</td><td>1586.868</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>44000</td><td>List(1, 6, List(), List(1586.868, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>389</td><td>2312.7</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(2312.7, 7.0, 15.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>390</td><td>2227.308</td><td>2</td><td>5</td><td>5</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2227.308, 2.0, 5.0, 5.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>391</td><td>893.058</td><td>8</td><td>14</td><td>2</td><td>2</td><td>1</td><td>38000</td><td>List(1, 6, List(), List(893.058, 8.0, 14.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>392</td><td>1440.99</td><td>6</td><td>7</td><td>2</td><td>2</td><td>1</td><td>55000</td><td>List(1, 6, List(), List(1440.99, 6.0, 7.0, 2.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>393</td><td>1263.09</td><td>5</td><td>7</td><td>2</td><td>2</td><td>2</td><td>37000</td><td>List(1, 6, List(), List(1263.09, 5.0, 7.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>394</td><td>1099.422</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>58500</td><td>List(1, 6, List(), List(1099.422, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>395</td><td>3255.57</td><td>4</td><td>7</td><td>4</td><td>2</td><td>5</td><td>120000</td><td>List(1, 6, List(), List(3255.57, 4.0, 7.0, 4.0, 2.0, 5.0))</td><td>130000.0</td></tr><tr><td>396</td><td>1540.614</td><td>6</td><td>14</td><td>4</td><td>2</td><td>2</td><td>69000</td><td>List(1, 6, List(), List(1540.614, 6.0, 14.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>397</td><td>1366.272</td><td>10</td><td>12</td><td>3</td><td>2</td><td>2</td><td>41000</td><td>List(1, 6, List(), List(1366.272, 10.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>398</td><td>1152.792</td><td>10</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1152.792, 10.0, 12.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>399</td><td>1544.172</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>98000</td><td>List(1, 6, List(), List(1544.172, 10.0, 12.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>400</td><td>1910.646</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1910.646, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>401</td><td>718.716</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(718.716, 5.0, 12.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>402</td><td>1487.244</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>33700</td><td>List(1, 6, List(), List(1487.244, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>403</td><td>1312.902</td><td>4</td><td>13</td><td>3</td><td>2</td><td>2</td><td>41000</td><td>List(1, 6, List(), List(1312.902, 4.0, 13.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>404</td><td>1255.974</td><td>4</td><td>16</td><td>3</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1255.974, 4.0, 16.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>405</td><td>2255.772</td><td>2</td><td>25</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2255.772, 2.0, 25.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>406</td><td>2052.966</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td><td>List(1, 6, List(), List(2052.966, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>407</td><td>1188.372</td><td>2</td><td>14</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1188.372, 2.0, 14.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>408</td><td>604.86</td><td>5</td><td>5</td><td>2</td><td>0</td><td>1</td><td>11900</td><td>List(1, 6, List(), List(604.86, 5.0, 5.0, 2.0, 0.0, 1.0))</td><td>14633.333333333334</td></tr><tr><td>409</td><td>889.5</td><td>3</td><td>4</td><td>2</td><td>2</td><td>1</td><td>29800</td><td>List(1, 6, List(), List(889.5, 3.0, 4.0, 2.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>410</td><td>1067.4</td><td>1</td><td>6</td><td>3</td><td>2</td><td>2</td><td>35000</td><td>List(1, 6, List(), List(1067.4, 1.0, 6.0, 3.0, 2.0, 2.0))</td><td>31291.033333333333</td></tr><tr><td>411</td><td>1138.56</td><td>6</td><td>10</td><td>2</td><td>1</td><td>2</td><td>33000</td><td>List(1, 6, List(), List(1138.56, 6.0, 10.0, 2.0, 1.0, 2.0))</td><td>47521.875</td></tr><tr><td>412</td><td>925.08</td><td>4</td><td>13</td><td>2</td><td>2</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(925.08, 4.0, 13.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>413</td><td>711.6</td><td>6</td><td>9</td><td>2</td><td>2</td><td>1</td><td>42000</td><td>List(1, 6, List(), List(711.6, 6.0, 9.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>414</td><td>925.08</td><td>2</td><td>4</td><td>3</td><td>1</td><td>1</td><td>34500</td><td>List(1, 6, List(), List(925.08, 2.0, 4.0, 3.0, 1.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>415</td><td>925.08</td><td>4</td><td>13</td><td>2</td><td>2</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(925.08, 4.0, 13.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>416</td><td>523.026</td><td>2</td><td>12</td><td>1</td><td>1</td><td>1</td><td>29000</td><td>List(1, 6, List(), List(523.026, 2.0, 12.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>417</td><td>1529.94</td><td>2</td><td>12</td><td>2</td><td>2</td><td>1</td><td>58000</td><td>List(1, 6, List(), List(1529.94, 2.0, 12.0, 2.0, 2.0, 1.0))</td><td>61742.857142857145</td></tr><tr><td>418</td><td>836.13</td><td>8</td><td>12</td><td>2</td><td>1</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(836.13, 8.0, 12.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>419</td><td>789.876</td><td>7</td><td>9</td><td>1</td><td>1</td><td>1</td><td>42000</td><td>List(1, 6, List(), List(789.876, 7.0, 9.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>420</td><td>1885.74</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>54999</td><td>List(1, 6, List(), List(1885.74, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>421</td><td>2782.356</td><td>12</td><td>13</td><td>3</td><td>2</td><td>3</td><td>123456</td><td>List(1, 6, List(), List(2782.356, 12.0, 13.0, 3.0, 2.0, 3.0))</td><td>109830.5294117647</td></tr><tr><td>422</td><td>711.6</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>28000</td><td>List(1, 6, List(), List(711.6, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>32595.467532467534</td></tr><tr><td>423</td><td>469.656</td><td>7</td><td>7</td><td>1</td><td>1</td><td>1</td><td>34000</td><td>List(1, 6, List(), List(469.656, 7.0, 7.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>424</td><td>793.434</td><td>11</td><td>14</td><td>2</td><td>1</td><td>1</td><td>40000</td><td>List(1, 6, List(), List(793.434, 11.0, 14.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>425</td><td>1565.52</td><td>2</td><td>6</td><td>3</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(1565.52, 2.0, 6.0, 3.0, 2.0, 1.0))</td><td>59266.26666666667</td></tr><tr><td>426</td><td>1366.272</td><td>4</td><td>11</td><td>4</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1366.272, 4.0, 11.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>427</td><td>1914.204</td><td>17</td><td>21</td><td>3</td><td>2</td><td>2</td><td>88000</td><td>List(1, 6, List(), List(1914.204, 17.0, 21.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>428</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(1889.298, 2.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>429</td><td>1956.9</td><td>6</td><td>7</td><td>4</td><td>2</td><td>3</td><td>85000</td><td>List(1, 6, List(), List(1956.9, 6.0, 7.0, 4.0, 2.0, 3.0))</td><td>85000.0</td></tr><tr><td>430</td><td>1992.48</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>99888</td><td>List(1, 6, List(), List(1992.48, 4.0, 15.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>431</td><td>3187.968</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>168000</td><td>List(1, 6, List(), List(3187.968, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>143922.92307692306</td></tr><tr><td>432</td><td>925.08</td><td>2</td><td>18</td><td>1</td><td>2</td><td>1</td><td>51000</td><td>List(1, 6, List(), List(925.08, 2.0, 18.0, 1.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>433</td><td>1067.4</td><td>4</td><td>7</td><td>3</td><td>2</td><td>2</td><td>31000</td><td>List(1, 6, List(), List(1067.4, 4.0, 7.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>434</td><td>1352.04</td><td>17</td><td>24</td><td>3</td><td>2</td><td>2</td><td>85000</td><td>List(1, 6, List(), List(1352.04, 17.0, 24.0, 3.0, 2.0, 2.0))</td><td>51125.0</td></tr><tr><td>435</td><td>2063.64</td><td>15</td><td>15</td><td>3</td><td>2</td><td>2</td><td>110000</td><td>List(1, 6, List(), List(2063.64, 15.0, 15.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>436</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(796.992, 3.0, 12.0, 2.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>437</td><td>949.986</td><td>5</td><td>12</td><td>2</td><td>1</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(949.986, 5.0, 12.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>438</td><td>2910.444</td><td>4</td><td>7</td><td>3</td><td>2</td><td>3</td><td>90000</td><td>List(1, 6, List(), List(2910.444, 4.0, 7.0, 3.0, 2.0, 3.0))</td><td>143922.92307692306</td></tr><tr><td>439</td><td>3010.068</td><td>4</td><td>11</td><td>3</td><td>2</td><td>2</td><td>185000</td><td>List(1, 6, List(), List(3010.068, 4.0, 11.0, 3.0, 2.0, 2.0))</td><td>143922.92307692306</td></tr><tr><td>440</td><td>768.528</td><td>6</td><td>7</td><td>1</td><td>1</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(768.528, 6.0, 7.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>441</td><td>772.086</td><td>3</td><td>7</td><td>2</td><td>2</td><td>1</td><td>28000</td><td>List(1, 6, List(), List(772.086, 3.0, 7.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>442</td><td>1423.2</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>68000</td><td>List(1, 6, List(), List(1423.2, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>443</td><td>1380.504</td><td>2</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td><td>List(1, 6, List(), List(1380.504, 2.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>444</td><td>448.308</td><td>2</td><td>12</td><td>1</td><td>1</td><td>1</td><td>17000</td><td>List(1, 6, List(), List(448.308, 2.0, 12.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>445</td><td>1971.132</td><td>2</td><td>6</td><td>4</td><td>2</td><td>2</td><td>53000</td><td>List(1, 6, List(), List(1971.132, 2.0, 6.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>446</td><td>2052.966</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td><td>List(1, 6, List(), List(2052.966, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>447</td><td>1127.886</td><td>11</td><td>12</td><td>3</td><td>2</td><td>2</td><td>150000</td><td>List(1, 6, List(), List(1127.886, 11.0, 12.0, 3.0, 2.0, 2.0))</td><td>149000.0</td></tr><tr><td>448</td><td>3241.338</td><td>7</td><td>7</td><td>2</td><td>2</td><td>3</td><td>99999</td><td>List(1, 6, List(), List(3241.338, 7.0, 7.0, 2.0, 2.0, 3.0))</td><td>143922.92307692306</td></tr><tr><td>449</td><td>1892.856</td><td>9</td><td>12</td><td>3</td><td>2</td><td>2</td><td>119999</td><td>List(1, 6, List(), List(1892.856, 9.0, 12.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>450</td><td>2138.358</td><td>4</td><td>7</td><td>4</td><td>2</td><td>3</td><td>100000</td><td>List(1, 6, List(), List(2138.358, 4.0, 7.0, 4.0, 2.0, 3.0))</td><td>85000.0</td></tr><tr><td>451</td><td>1423.2</td><td>2</td><td>7</td><td>4</td><td>1</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1423.2, 2.0, 7.0, 4.0, 1.0, 2.0))</td><td>47521.875</td></tr><tr><td>452</td><td>1754.094</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1754.094, 3.0, 7.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>453</td><td>925.08</td><td>2</td><td>4</td><td>2</td><td>2</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(925.08, 2.0, 4.0, 2.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>454</td><td>1352.04</td><td>4</td><td>11</td><td>4</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1352.04, 4.0, 11.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>455</td><td>889.5</td><td>5</td><td>5</td><td>2</td><td>1</td><td>1</td><td>24000</td><td>List(1, 6, List(), List(889.5, 5.0, 5.0, 2.0, 1.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>456</td><td>640.44</td><td>2</td><td>5</td><td>1</td><td>1</td><td>1</td><td>28000</td><td>List(1, 6, List(), List(640.44, 2.0, 5.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>457</td><td>1423.2</td><td>3</td><td>4</td><td>4</td><td>2</td><td>2</td><td>39000</td><td>List(1, 6, List(), List(1423.2, 3.0, 4.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>458</td><td>651.114</td><td>8</td><td>11</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(651.114, 8.0, 11.0, 3.0, 2.0, 2.0))</td><td>32595.467532467534</td></tr><tr><td>459</td><td>1391.178</td><td>1</td><td>7</td><td>1</td><td>3</td><td>3</td><td>50000</td><td>List(1, 6, List(), List(1391.178, 1.0, 7.0, 1.0, 3.0, 3.0))</td><td>82000.0</td></tr><tr><td>460</td><td>1487.244</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1487.244, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>461</td><td>1700.724</td><td>13</td><td>21</td><td>2</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1700.724, 13.0, 21.0, 2.0, 2.0, 2.0))</td><td>51916.666666666664</td></tr><tr><td>462</td><td>1515.708</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1515.708, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>463</td><td>1206.162</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td><td>List(1, 6, List(), List(1206.162, 7.0, 7.0, 2.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>464</td><td>2052.966</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td><td>List(1, 6, List(), List(2052.966, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>465</td><td>1298.67</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>59500</td><td>List(1, 6, List(), List(1298.67, 7.0, 7.0, 2.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>466</td><td>1444.548</td><td>2</td><td>5</td><td>4</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1444.548, 2.0, 5.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>467</td><td>2067.198</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2067.198, 4.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>468</td><td>1227.51</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>39000</td><td>List(1, 6, List(), List(1227.51, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>469</td><td>1494.36</td><td>4</td><td>4</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1494.36, 4.0, 4.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>470</td><td>1366.272</td><td>4</td><td>11</td><td>4</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1366.272, 4.0, 11.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>471</td><td>2298.468</td><td>14</td><td>18</td><td>4</td><td>2</td><td>2</td><td>135000</td><td>List(1, 6, List(), List(2298.468, 14.0, 18.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>472</td><td>925.08</td><td>7</td><td>10</td><td>1</td><td>2</td><td>1</td><td>28000</td><td>List(1, 6, List(), List(925.08, 7.0, 10.0, 1.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>473</td><td>3842.64</td><td>15</td><td>16</td><td>3</td><td>1</td><td>2</td><td>200000</td><td>List(1, 6, List(), List(3842.64, 15.0, 16.0, 3.0, 1.0, 2.0))</td><td>200125.0</td></tr><tr><td>474</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>105000</td><td>List(1, 6, List(), List(1889.298, 2.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>475</td><td>2063.64</td><td>3</td><td>6</td><td>4</td><td>2</td><td>2</td><td>98000</td><td>List(1, 6, List(), List(2063.64, 3.0, 6.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>476</td><td>1544.172</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>98000</td><td>List(1, 6, List(), List(1544.172, 10.0, 12.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>477</td><td>1273.764</td><td>5</td><td>13</td><td>3</td><td>2</td><td>2</td><td>57000</td><td>List(1, 6, List(), List(1273.764, 5.0, 13.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>478</td><td>1579.752</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(1579.752, 4.0, 15.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>479</td><td>1672.26</td><td>10</td><td>12</td><td>2</td><td>1</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1672.26, 10.0, 12.0, 2.0, 1.0, 2.0))</td><td>51916.666666666664</td></tr><tr><td>480</td><td>1227.51</td><td>5</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1227.51, 5.0, 12.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>481</td><td>1401.852</td><td>2</td><td>6</td><td>3</td><td>2</td><td>3</td><td>60000</td><td>List(1, 6, List(), List(1401.852, 2.0, 6.0, 3.0, 2.0, 3.0))</td><td>82000.0</td></tr><tr><td>482</td><td>569.28</td><td>9</td><td>9</td><td>2</td><td>2</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(569.28, 9.0, 9.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>483</td><td>2173.938</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(2173.938, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>484</td><td>2213.076</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>108000</td><td>List(1, 6, List(), List(2213.076, 2.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>485</td><td>2063.64</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2063.64, 4.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>486</td><td>1707.84</td><td>9</td><td>15</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(1707.84, 9.0, 15.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>487</td><td>900.174</td><td>4</td><td>7</td><td>2</td><td>2</td><td>2</td><td>88000</td><td>List(1, 6, List(), List(900.174, 4.0, 7.0, 2.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>488</td><td>1465.896</td><td>6</td><td>7</td><td>2</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(1465.896, 6.0, 7.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>489</td><td>1316.46</td><td>4</td><td>13</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1316.46, 4.0, 13.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>490</td><td>740.064</td><td>6</td><td>14</td><td>1</td><td>1</td><td>1</td><td>38800</td><td>List(1, 6, List(), List(740.064, 6.0, 14.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>491</td><td>754.296</td><td>2</td><td>9</td><td>1</td><td>1</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(754.296, 2.0, 9.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>492</td><td>1647.354</td><td>10</td><td>14</td><td>2</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1647.354, 10.0, 14.0, 2.0, 2.0, 2.0))</td><td>51916.666666666664</td></tr><tr><td>493</td><td>811.224</td><td>5</td><td>12</td><td>2</td><td>1</td><td>1</td><td>43500</td><td>List(1, 6, List(), List(811.224, 5.0, 12.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>494</td><td>1487.244</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1487.244, 8.0, 12.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>495</td><td>1494.36</td><td>1</td><td>4</td><td>4</td><td>2</td><td>3</td><td>150000</td><td>List(1, 6, List(), List(1494.36, 1.0, 4.0, 4.0, 2.0, 3.0))</td><td>82000.0</td></tr><tr><td>496</td><td>2914.002</td><td>5</td><td>15</td><td>3</td><td>2</td><td>2</td><td>110000</td><td>List(1, 6, List(), List(2914.002, 5.0, 15.0, 3.0, 2.0, 2.0))</td><td>143922.92307692306</td></tr><tr><td>497</td><td>1665.144</td><td>7</td><td>12</td><td>4</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1665.144, 7.0, 12.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>498</td><td>1732.746</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>72000</td><td>List(1, 6, List(), List(1732.746, 8.0, 12.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>499</td><td>853.92</td><td>8</td><td>14</td><td>2</td><td>1</td><td>1</td><td>42000</td><td>List(1, 6, List(), List(853.92, 8.0, 14.0, 2.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>500</td><td>1885.74</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1885.74, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>501</td><td>889.5</td><td>11</td><td>13</td><td>2</td><td>2</td><td>2</td><td>49998</td><td>List(1, 6, List(), List(889.5, 11.0, 13.0, 2.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>502</td><td>2455.02</td><td>12</td><td>25</td><td>4</td><td>2</td><td>2</td><td>110000</td><td>List(1, 6, List(), List(2455.02, 12.0, 25.0, 4.0, 2.0, 2.0))</td><td>109830.5294117647</td></tr><tr><td>503</td><td>1067.4</td><td>6</td><td>9</td><td>4</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1067.4, 6.0, 9.0, 4.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>504</td><td>1102.98</td><td>2</td><td>9</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1102.98, 2.0, 9.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>505</td><td>3024.3</td><td>9</td><td>13</td><td>3</td><td>2</td><td>2</td><td>158000</td><td>List(1, 6, List(), List(3024.3, 9.0, 13.0, 3.0, 2.0, 2.0))</td><td>143922.92307692306</td></tr><tr><td>506</td><td>1102.98</td><td>2</td><td>4</td><td>3</td><td>1</td><td>2</td><td>26000</td><td>List(1, 6, List(), List(1102.98, 2.0, 4.0, 3.0, 1.0, 2.0))</td><td>31291.033333333333</td></tr><tr><td>507</td><td>1725.63</td><td>4</td><td>12</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1725.63, 4.0, 12.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>508</td><td>985.566</td><td>8</td><td>14</td><td>2</td><td>2</td><td>1</td><td>28000</td><td>List(1, 6, List(), List(985.566, 8.0, 14.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>509</td><td>1102.98</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>35000</td><td>List(1, 6, List(), List(1102.98, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>510</td><td>1885.74</td><td>7</td><td>12</td><td>3</td><td>1</td><td>2</td><td>77000</td><td>List(1, 6, List(), List(1885.74, 7.0, 12.0, 3.0, 1.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>511</td><td>2028.06</td><td>12</td><td>12</td><td>5</td><td>1</td><td>1</td><td>89000</td><td>List(1, 6, List(), List(2028.06, 12.0, 12.0, 5.0, 1.0, 1.0))</td><td>83173.27710843373</td></tr><tr><td>512</td><td>540.816</td><td>5</td><td>11</td><td>2</td><td>1</td><td>1</td><td>28500</td><td>List(1, 6, List(), List(540.816, 5.0, 11.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>513</td><td>590.628</td><td>8</td><td>9</td><td>2</td><td>1</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(590.628, 8.0, 9.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>514</td><td>2170.38</td><td>9</td><td>15</td><td>4</td><td>2</td><td>2</td><td>110000</td><td>List(1, 6, List(), List(2170.38, 9.0, 15.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>515</td><td>1992.48</td><td>5</td><td>12</td><td>3</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1992.48, 5.0, 12.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>516</td><td>960.66</td><td>4</td><td>5</td><td>3</td><td>2</td><td>2</td><td>33000</td><td>List(1, 6, List(), List(960.66, 4.0, 5.0, 3.0, 2.0, 2.0))</td><td>31291.033333333333</td></tr><tr><td>517</td><td>843.246</td><td>2</td><td>18</td><td>1</td><td>1</td><td>1</td><td>51500</td><td>List(1, 6, List(), List(843.246, 2.0, 18.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>518</td><td>1889.298</td><td>18</td><td>21</td><td>3</td><td>2</td><td>2</td><td>69500</td><td>List(1, 6, List(), List(1889.298, 18.0, 21.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>519</td><td>1487.244</td><td>6</td><td>7</td><td>3</td><td>1</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1487.244, 6.0, 7.0, 3.0, 1.0, 2.0))</td><td>47521.875</td></tr><tr><td>520</td><td>587.07</td><td>5</td><td>7</td><td>1</td><td>1</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(587.07, 5.0, 7.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>521</td><td>1384.062</td><td>6</td><td>13</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1384.062, 6.0, 13.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>522</td><td>818.34</td><td>4</td><td>5</td><td>3</td><td>2</td><td>1</td><td>21000</td><td>List(1, 6, List(), List(818.34, 4.0, 5.0, 3.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>523</td><td>711.6</td><td>1</td><td>4</td><td>2</td><td>2</td><td>3</td><td>42000</td><td>List(1, 6, List(), List(711.6, 1.0, 4.0, 2.0, 2.0, 3.0))</td><td>32595.467532467534</td></tr><tr><td>524</td><td>1074.516</td><td>7</td><td>10</td><td>3</td><td>1</td><td>2</td><td>35000</td><td>List(1, 6, List(), List(1074.516, 7.0, 10.0, 3.0, 1.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>525</td><td>391.38</td><td>7</td><td>14</td><td>1</td><td>2</td><td>1</td><td>25000</td><td>List(1, 6, List(), List(391.38, 7.0, 14.0, 1.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>526</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(1889.298, 2.0, 14.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>527</td><td>1031.82</td><td>4</td><td>16</td><td>3</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1031.82, 4.0, 16.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>528</td><td>1921.32</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1921.32, 3.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>529</td><td>1387.62</td><td>4</td><td>4</td><td>3</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1387.62, 4.0, 4.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>530</td><td>1352.04</td><td>9</td><td>14</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1352.04, 9.0, 14.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>531</td><td>1433.874</td><td>5</td><td>6</td><td>3</td><td>2</td><td>2</td><td>47000</td><td>List(1, 6, List(), List(1433.874, 5.0, 6.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>532</td><td>462.54</td><td>13</td><td>14</td><td>1</td><td>1</td><td>1</td><td>20000</td><td>List(1, 6, List(), List(462.54, 13.0, 14.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>533</td><td>3775.038</td><td>11</td><td>11</td><td>3</td><td>3</td><td>3</td><td>150000</td><td>List(1, 6, List(), List(3775.038, 11.0, 11.0, 3.0, 3.0, 3.0))</td><td>130000.0</td></tr><tr><td>534</td><td>996.24</td><td>2</td><td>5</td><td>3</td><td>2</td><td>1</td><td>28000</td><td>List(1, 6, List(), List(996.24, 2.0, 5.0, 3.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>535</td><td>441.192</td><td>3</td><td>6</td><td>1</td><td>2</td><td>1</td><td>40000</td><td>List(1, 6, List(), List(441.192, 3.0, 6.0, 1.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>536</td><td>1757.652</td><td>6</td><td>7</td><td>4</td><td>2</td><td>3</td><td>65000</td><td>List(1, 6, List(), List(1757.652, 6.0, 7.0, 4.0, 2.0, 3.0))</td><td>59266.26666666667</td></tr><tr><td>537</td><td>1974.69</td><td>6</td><td>17</td><td>4</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1974.69, 6.0, 17.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>538</td><td>711.6</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(711.6, 5.0, 7.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>539</td><td>1825.254</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1825.254, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>540</td><td>1814.58</td><td>6</td><td>14</td><td>4</td><td>2</td><td>3</td><td>85000</td><td>List(1, 6, List(), List(1814.58, 6.0, 14.0, 4.0, 2.0, 3.0))</td><td>83173.27710843373</td></tr><tr><td>541</td><td>1426.758</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>48120</td><td>List(1, 6, List(), List(1426.758, 3.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>542</td><td>469.656</td><td>9</td><td>12</td><td>1</td><td>1</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(469.656, 9.0, 12.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>543</td><td>1149.234</td><td>10</td><td>12</td><td>3</td><td>2</td><td>1</td><td>50000</td><td>List(1, 6, List(), List(1149.234, 10.0, 12.0, 3.0, 2.0, 1.0))</td><td>47521.875</td></tr><tr><td>544</td><td>2309.142</td><td>16</td><td>21</td><td>4</td><td>2</td><td>4</td><td>138000</td><td>List(1, 6, List(), List(2309.142, 16.0, 21.0, 4.0, 2.0, 4.0))</td><td>138000.0</td></tr><tr><td>545</td><td>1102.98</td><td>2</td><td>4</td><td>2</td><td>1</td><td>2</td><td>31000</td><td>List(1, 6, List(), List(1102.98, 2.0, 4.0, 2.0, 1.0, 2.0))</td><td>31291.033333333333</td></tr><tr><td>546</td><td>782.76</td><td>3</td><td>5</td><td>2</td><td>1</td><td>1</td><td>30000</td><td>List(1, 6, List(), List(782.76, 3.0, 5.0, 2.0, 1.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>547</td><td>1352.04</td><td>9</td><td>13</td><td>3</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1352.04, 9.0, 13.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>548</td><td>1494.36</td><td>6</td><td>7</td><td>4</td><td>1</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1494.36, 6.0, 7.0, 4.0, 1.0, 2.0))</td><td>47521.875</td></tr><tr><td>549</td><td>1245.3</td><td>5</td><td>6</td><td>3</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1245.3, 5.0, 6.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>550</td><td>1529.94</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1529.94, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>551</td><td>1569.078</td><td>10</td><td>12</td><td>2</td><td>2</td><td>2</td><td>58000</td><td>List(1, 6, List(), List(1569.078, 10.0, 12.0, 2.0, 2.0, 2.0))</td><td>51916.666666666664</td></tr><tr><td>552</td><td>1352.04</td><td>2</td><td>4</td><td>4</td><td>2</td><td>2</td><td>30000</td><td>List(1, 6, List(), List(1352.04, 2.0, 4.0, 4.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>553</td><td>2141.916</td><td>7</td><td>19</td><td>4</td><td>2</td><td>2</td><td>77000</td><td>List(1, 6, List(), List(2141.916, 7.0, 19.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>554</td><td>1565.52</td><td>1</td><td>5</td><td>3</td><td>2</td><td>3</td><td>80000</td><td>List(1, 6, List(), List(1565.52, 1.0, 5.0, 3.0, 2.0, 3.0))</td><td>59266.26666666667</td></tr><tr><td>555</td><td>1885.74</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1885.74, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>556</td><td>1761.21</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1761.21, 3.0, 6.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>557</td><td>1761.21</td><td>3</td><td>6</td><td>4</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1761.21, 3.0, 6.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>558</td><td>889.5</td><td>11</td><td>18</td><td>2</td><td>2</td><td>1</td><td>30500</td><td>List(1, 6, List(), List(889.5, 11.0, 18.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>559</td><td>2668.5</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>138888</td><td>List(1, 6, List(), List(2668.5, 5.0, 12.0, 4.0, 2.0, 2.0))</td><td>109830.5294117647</td></tr><tr><td>560</td><td>1334.25</td><td>5</td><td>11</td><td>3</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1334.25, 5.0, 11.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>561</td><td>925.08</td><td>1</td><td>4</td><td>2</td><td>2</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(925.08, 1.0, 4.0, 2.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>562</td><td>878.826</td><td>10</td><td>14</td><td>1</td><td>1</td><td>1</td><td>47999</td><td>List(1, 6, List(), List(878.826, 10.0, 14.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>563</td><td>1067.4</td><td>3</td><td>12</td><td>3</td><td>2</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(1067.4, 3.0, 12.0, 3.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>564</td><td>1423.2</td><td>11</td><td>12</td><td>2</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1423.2, 11.0, 12.0, 2.0, 2.0, 2.0))</td><td>51125.0</td></tr><tr><td>565</td><td>1419.642</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1419.642, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>566</td><td>711.6</td><td>5</td><td>5</td><td>2</td><td>2</td><td>1</td><td>22000</td><td>List(1, 6, List(), List(711.6, 5.0, 5.0, 2.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>567</td><td>718.716</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(718.716, 5.0, 12.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>568</td><td>1956.9</td><td>9</td><td>12</td><td>4</td><td>2</td><td>2</td><td>90000</td><td>List(1, 6, List(), List(1956.9, 9.0, 12.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>569</td><td>1544.172</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>98000</td><td>List(1, 6, List(), List(1544.172, 10.0, 12.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>570</td><td>2383.86</td><td>1</td><td>7</td><td>5</td><td>3</td><td>3</td><td>60000</td><td>List(1, 6, List(), List(2383.86, 1.0, 7.0, 5.0, 3.0, 3.0))</td><td>85000.0</td></tr><tr><td>571</td><td>2081.43</td><td>10</td><td>17</td><td>3</td><td>2</td><td>2</td><td>68000</td><td>List(1, 6, List(), List(2081.43, 10.0, 17.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>572</td><td>711.6</td><td>6</td><td>6</td><td>2</td><td>1</td><td>1</td><td>17000</td><td>List(1, 6, List(), List(711.6, 6.0, 6.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>573</td><td>700.926</td><td>7</td><td>11</td><td>2</td><td>1</td><td>1</td><td>40000</td><td>List(1, 6, List(), List(700.926, 7.0, 11.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>574</td><td>1181.256</td><td>1</td><td>4</td><td>3</td><td>2</td><td>2</td><td>52000</td><td>List(1, 6, List(), List(1181.256, 1.0, 4.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>575</td><td>498.12</td><td>11</td><td>14</td><td>2</td><td>1</td><td>1</td><td>40000</td><td>List(1, 6, List(), List(498.12, 11.0, 14.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>576</td><td>5856.468</td><td>7</td><td>21</td><td>6</td><td>2</td><td>5</td><td>180000</td><td>List(1, 6, List(), List(5856.468, 7.0, 21.0, 6.0, 2.0, 5.0))</td><td>180000.0</td></tr><tr><td>577</td><td>1245.3</td><td>8</td><td>8</td><td>3</td><td>2</td><td>2</td><td>23000</td><td>List(1, 6, List(), List(1245.3, 8.0, 8.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>578</td><td>868.152</td><td>3</td><td>5</td><td>3</td><td>2</td><td>1</td><td>26000</td><td>List(1, 6, List(), List(868.152, 3.0, 5.0, 3.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>579</td><td>533.7</td><td>7</td><td>7</td><td>1</td><td>1</td><td>1</td><td>28800</td><td>List(1, 6, List(), List(533.7, 7.0, 7.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>580</td><td>693.81</td><td>2</td><td>7</td><td>1</td><td>1</td><td>1</td><td>33000</td><td>List(1, 6, List(), List(693.81, 2.0, 7.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>581</td><td>1576.194</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>44000</td><td>List(1, 6, List(), List(1576.194, 3.0, 7.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>582</td><td>5760.402</td><td>9</td><td>15</td><td>3</td><td>2</td><td>3</td><td>170000</td><td>List(1, 6, List(), List(5760.402, 9.0, 15.0, 3.0, 2.0, 3.0))</td><td>200125.0</td></tr><tr><td>583</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(796.992, 3.0, 12.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>584</td><td>2052.966</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td><td>List(1, 6, List(), List(2052.966, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>585</td><td>1163.466</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1163.466, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>586</td><td>1316.46</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1316.46, 4.0, 15.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>587</td><td>1099.422</td><td>4</td><td>12</td><td>2</td><td>2</td><td>1</td><td>38800</td><td>List(1, 6, List(), List(1099.422, 4.0, 12.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>588</td><td>1480.128</td><td>4</td><td>7</td><td>2</td><td>2</td><td>2</td><td>99999</td><td>List(1, 6, List(), List(1480.128, 4.0, 7.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>589</td><td>2739.66</td><td>5</td><td>21</td><td>4</td><td>2</td><td>2</td><td>150000</td><td>List(1, 6, List(), List(2739.66, 5.0, 21.0, 4.0, 2.0, 2.0))</td><td>109830.5294117647</td></tr><tr><td>590</td><td>800.55</td><td>3</td><td>4</td><td>2</td><td>2</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(800.55, 3.0, 4.0, 2.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>591</td><td>676.02</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(676.02, 6.0, 7.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>592</td><td>964.218</td><td>4</td><td>4</td><td>3</td><td>2</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(964.218, 4.0, 4.0, 3.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>593</td><td>1832.37</td><td>9</td><td>16</td><td>4</td><td>2</td><td>2</td><td>69000</td><td>List(1, 6, List(), List(1832.37, 9.0, 16.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>594</td><td>782.76</td><td>10</td><td>14</td><td>1</td><td>0</td><td>1</td><td>31000</td><td>List(1, 6, List(), List(782.76, 10.0, 14.0, 1.0, 0.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>595</td><td>1551.288</td><td>5</td><td>5</td><td>4</td><td>2</td><td>2</td><td>59800</td><td>List(1, 6, List(), List(1551.288, 5.0, 5.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>596</td><td>1102.98</td><td>2</td><td>4</td><td>2</td><td>2</td><td>2</td><td>31000</td><td>List(1, 6, List(), List(1102.98, 2.0, 4.0, 2.0, 2.0, 2.0))</td><td>31291.033333333333</td></tr><tr><td>597</td><td>989.124</td><td>9</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td><td>List(1, 6, List(), List(989.124, 9.0, 12.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>598</td><td>711.6</td><td>9</td><td>14</td><td>2</td><td>1</td><td>1</td><td>27000</td><td>List(1, 6, List(), List(711.6, 9.0, 14.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>599</td><td>1458.78</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1458.78, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>600</td><td>1359.156</td><td>7</td><td>16</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1359.156, 7.0, 16.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>601</td><td>2063.64</td><td>5</td><td>9</td><td>4</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(2063.64, 5.0, 9.0, 4.0, 2.0, 2.0))</td><td>68499.875</td></tr><tr><td>602</td><td>846.804</td><td>14</td><td>14</td><td>2</td><td>2</td><td>1</td><td>29000</td><td>List(1, 6, List(), List(846.804, 14.0, 14.0, 2.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>603</td><td>1458.78</td><td>21</td><td>27</td><td>3</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1458.78, 21.0, 27.0, 3.0, 2.0, 2.0))</td><td>51125.0</td></tr><tr><td>604</td><td>1127.886</td><td>4</td><td>5</td><td>3</td><td>2</td><td>2</td><td>26000</td><td>List(1, 6, List(), List(1127.886, 4.0, 5.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>605</td><td>1355.598</td><td>5</td><td>19</td><td>2</td><td>2</td><td>2</td><td>69999</td><td>List(1, 6, List(), List(1355.598, 5.0, 19.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>606</td><td>1892.856</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>129999</td><td>List(1, 6, List(), List(1892.856, 5.0, 12.0, 4.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>607</td><td>1031.82</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>21000</td><td>List(1, 6, List(), List(1031.82, 3.0, 6.0, 3.0, 2.0, 2.0))</td><td>31291.033333333333</td></tr><tr><td>608</td><td>1707.84</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1707.84, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>609</td><td>640.44</td><td>9</td><td>12</td><td>2</td><td>1</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(640.44, 9.0, 12.0, 2.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>610</td><td>1014.03</td><td>8</td><td>11</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1014.03, 8.0, 11.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>611</td><td>1067.4</td><td>6</td><td>14</td><td>3</td><td>2</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(1067.4, 6.0, 14.0, 3.0, 2.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>612</td><td>711.6</td><td>8</td><td>12</td><td>1</td><td>2</td><td>1</td><td>30000</td><td>List(1, 6, List(), List(711.6, 8.0, 12.0, 1.0, 2.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>613</td><td>996.24</td><td>4</td><td>5</td><td>3</td><td>2</td><td>1</td><td>6100</td><td>List(1, 6, List(), List(996.24, 4.0, 5.0, 3.0, 2.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>614</td><td>2134.8</td><td>3</td><td>6</td><td>4</td><td>2</td><td>3</td><td>98000</td><td>List(1, 6, List(), List(2134.8, 3.0, 6.0, 4.0, 2.0, 3.0))</td><td>85000.0</td></tr><tr><td>615</td><td>1647.354</td><td>11</td><td>14</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1647.354, 11.0, 14.0, 4.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>616</td><td>1138.56</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td><td>List(1, 6, List(), List(1138.56, 3.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>617</td><td>889.5</td><td>5</td><td>9</td><td>1</td><td>1</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(889.5, 5.0, 9.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>618</td><td>711.6</td><td>8</td><td>14</td><td>1</td><td>1</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(711.6, 8.0, 14.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>619</td><td>1857.276</td><td>2</td><td>14</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1857.276, 2.0, 14.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>620</td><td>1102.98</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1102.98, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>621</td><td>925.08</td><td>2</td><td>4</td><td>2</td><td>1</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(925.08, 2.0, 4.0, 2.0, 1.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>622</td><td>2312.7</td><td>11</td><td>14</td><td>3</td><td>2</td><td>2</td><td>99999</td><td>List(1, 6, List(), List(2312.7, 11.0, 14.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>623</td><td>925.08</td><td>4</td><td>9</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(925.08, 4.0, 9.0, 3.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>624</td><td>711.6</td><td>1</td><td>1</td><td>3</td><td>1</td><td>1</td><td>12000</td><td>List(1, 6, List(), List(711.6, 1.0, 1.0, 3.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>625</td><td>4198.44</td><td>15</td><td>19</td><td>7</td><td>3</td><td>4</td><td>180000</td><td>List(1, 6, List(), List(4198.44, 15.0, 19.0, 7.0, 3.0, 4.0))</td><td>180000.0</td></tr><tr><td>626</td><td>3095.46</td><td>1</td><td>6</td><td>4</td><td>2</td><td>3</td><td>100000</td><td>List(1, 6, List(), List(3095.46, 1.0, 6.0, 4.0, 2.0, 3.0))</td><td>100000.0</td></tr><tr><td>627</td><td>2590.224</td><td>5</td><td>15</td><td>3</td><td>2</td><td>3</td><td>110000</td><td>List(1, 6, List(), List(2590.224, 5.0, 15.0, 3.0, 2.0, 3.0))</td><td>109830.5294117647</td></tr><tr><td>628</td><td>1885.74</td><td>8</td><td>13</td><td>3</td><td>2</td><td>2</td><td>120000</td><td>List(1, 6, List(), List(1885.74, 8.0, 13.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>629</td><td>1245.3</td><td>1</td><td>14</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1245.3, 1.0, 14.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>630</td><td>1174.14</td><td>10</td><td>12</td><td>3</td><td>2</td><td>2</td><td>41000</td><td>List(1, 6, List(), List(1174.14, 10.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>631</td><td>1458.78</td><td>6</td><td>7</td><td>2</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1458.78, 6.0, 7.0, 2.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>632</td><td>1305.786</td><td>9</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td><td>List(1, 6, List(), List(1305.786, 9.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>633</td><td>1316.46</td><td>12</td><td>12</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1316.46, 12.0, 12.0, 3.0, 2.0, 2.0))</td><td>51125.0</td></tr><tr><td>634</td><td>1167.024</td><td>2</td><td>12</td><td>3</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1167.024, 2.0, 12.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>635</td><td>996.24</td><td>3</td><td>5</td><td>3</td><td>1</td><td>1</td><td>28000</td><td>List(1, 6, List(), List(996.24, 3.0, 5.0, 3.0, 1.0, 1.0))</td><td>31291.033333333333</td></tr><tr><td>636</td><td>1099.422</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>57777</td><td>List(1, 6, List(), List(1099.422, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>42209.782608695656</td></tr><tr><td>637</td><td>2042.292</td><td>6</td><td>18</td><td>2</td><td>2</td><td>2</td><td>82000</td><td>List(1, 6, List(), List(2042.292, 6.0, 18.0, 2.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>638</td><td>843.246</td><td>2</td><td>18</td><td>1</td><td>1</td><td>1</td><td>53000</td><td>List(1, 6, List(), List(843.246, 2.0, 18.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>639</td><td>1889.298</td><td>18</td><td>21</td><td>3</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1889.298, 18.0, 21.0, 3.0, 2.0, 2.0))</td><td>83173.27710843373</td></tr><tr><td>640</td><td>1266.648</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1266.648, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>641</td><td>1707.84</td><td>9</td><td>9</td><td>4</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1707.84, 9.0, 9.0, 4.0, 2.0, 2.0))</td><td>59266.26666666667</td></tr><tr><td>642</td><td>1707.84</td><td>9</td><td>15</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(1707.84, 9.0, 15.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>643</td><td>2846.4</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>138888</td><td>List(1, 6, List(), List(2846.4, 5.0, 12.0, 4.0, 2.0, 2.0))</td><td>109830.5294117647</td></tr><tr><td>644</td><td>1359.156</td><td>7</td><td>15</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1359.156, 7.0, 15.0, 3.0, 2.0, 2.0))</td><td>47521.875</td></tr><tr><td>645</td><td>377.148</td><td>4</td><td>10</td><td>1</td><td>1</td><td>1</td><td>24800</td><td>List(1, 6, List(), List(377.148, 4.0, 10.0, 1.0, 1.0, 1.0))</td><td>32595.467532467534</td></tr><tr><td>646</td><td>740.064</td><td>13</td><td>14</td><td>1</td><td>1</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(740.064, 13.0, 14.0, 1.0, 1.0, 1.0))</td><td>42209.782608695656</td></tr><tr><td>647</td><td>1707.84</td><td>3</td><td>14</td><td>3</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1707.84, 3.0, 14.0, 3.0, 2.0, 2.0))</td><td>71673.17647058824</td></tr><tr><td>648</td><td>1376.946</td><td>6</td><td>7</td><td>3</td><td>2</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(1376.946, 6.0, 7.0, 3.0, 2.0, 1.0))</td><td>47521.875</td></tr></tbody></table></div>"]}}],"execution_count":77},{"cell_type":"markdown","source":["### Ensemble Methods of Regression\n<hr>\n* Comibining weak models & resulting a more genralized model is known as ensemble methods.\n* Random Forest & Gradient Boosting Trees are two major ensemble techniques supported.\n* Random Forest for Regression means averaging outcome of multiple decision trees.\n* Different decision trees can be learnt of different nodes"],"metadata":{}},{"cell_type":"code","source":["from pyspark.ml.regression import RandomForestRegressor"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":79},{"cell_type":"code","source":["rf = RandomForestRegressor(numTrees=10, featuresCol='features',labelCol='Price')"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":80},{"cell_type":"code","source":["rf_model = rf.fit(house_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":81},{"cell_type":"code","source":["results = rf_model.transform(house_data)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .ansiout {\n    display: block;\n    unicode-bidi: embed;\n    white-space: pre-wrap;\n    word-wrap: break-word;\n    word-break: break-all;\n    font-family: \"Source Code Pro\", \"Menlo\", monospace;;\n    font-size: 13px;\n    color: #555;\n    margin-left: 4px;\n    line-height: 19px;\n  }\n</style>\n<div class=\"ansiout\"></div>"]}}],"execution_count":82},{"cell_type":"code","source":["display(results)"],"metadata":{},"outputs":[{"metadata":{},"output_type":"display_data","data":{"text/html":["<style scoped>\n  .table-result-container {\n    max-height: 300px;\n    overflow: auto;\n  }\n  table, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n  }\n  th, td {\n    padding: 5px;\n  }\n  th {\n    text-align: left;\n  }\n</style><div class='table-result-container'><table class='table-result'><thead style='background-color: white'><tr><th>_c0</th><th>Sqft</th><th>Floor</th><th>TotalFloor</th><th>Bedroom</th><th>LivingRoom</th><th>Bathroom</th><th>Price</th><th>features</th><th>prediction</th></tr></thead><tbody><tr><td>1</td><td>1177.698</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>62000</td><td>List(1, 6, List(), List(1177.698, 2.0, 7.0, 2.0, 2.0, 2.0))</td><td>49832.56661047177</td></tr><tr><td>2</td><td>2134.8</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td><td>List(1, 6, List(), List(2134.8, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>71596.87270466669</td></tr><tr><td>3</td><td>1138.56</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>58000</td><td>List(1, 6, List(), List(1138.56, 5.0, 7.0, 2.0, 2.0, 1.0))</td><td>43657.3335843472</td></tr><tr><td>4</td><td>1458.78</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1458.78, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>50682.14061047176</td></tr><tr><td>5</td><td>967.776</td><td>11</td><td>14</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(967.776, 11.0, 14.0, 3.0, 2.0, 2.0))</td><td>52980.983987904445</td></tr><tr><td>6</td><td>1127.886</td><td>11</td><td>12</td><td>4</td><td>2</td><td>2</td><td>148000</td><td>List(1, 6, List(), List(1127.886, 11.0, 12.0, 4.0, 2.0, 2.0))</td><td>62718.01630996375</td></tr><tr><td>7</td><td>1352.04</td><td>5</td><td>7</td><td>3</td><td>2</td><td>1</td><td>58000</td><td>List(1, 6, List(), List(1352.04, 5.0, 7.0, 3.0, 2.0, 1.0))</td><td>46161.57151291862</td></tr><tr><td>8</td><td>757.854</td><td>5</td><td>14</td><td>1</td><td>0</td><td>1</td><td>48000</td><td>List(1, 6, List(), List(757.854, 5.0, 14.0, 1.0, 0.0, 1.0))</td><td>35701.956192365215</td></tr><tr><td>9</td><td>1152.792</td><td>10</td><td>12</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1152.792, 10.0, 12.0, 3.0, 2.0, 2.0))</td><td>52636.68408947131</td></tr><tr><td>10</td><td>1423.2</td><td>4</td><td>5</td><td>4</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1423.2, 4.0, 5.0, 4.0, 2.0, 2.0))</td><td>46801.86874256116</td></tr><tr><td>11</td><td>668.904</td><td>4</td><td>11</td><td>1</td><td>1</td><td>1</td><td>31000</td><td>List(1, 6, List(), List(668.904, 4.0, 11.0, 1.0, 1.0, 1.0))</td><td>34713.20925614617</td></tr><tr><td>12</td><td>711.6</td><td>4</td><td>7</td><td>2</td><td>1</td><td>1</td><td>29002</td><td>List(1, 6, List(), List(711.6, 4.0, 7.0, 2.0, 1.0, 1.0))</td><td>36589.74708082149</td></tr><tr><td>13</td><td>1352.04</td><td>9</td><td>19</td><td>4</td><td>2</td><td>2</td><td>39000</td><td>List(1, 6, List(), List(1352.04, 9.0, 19.0, 4.0, 2.0, 2.0))</td><td>54736.19046248206</td></tr><tr><td>14</td><td>818.34</td><td>4</td><td>13</td><td>2</td><td>2</td><td>1</td><td>48000</td><td>List(1, 6, List(), List(818.34, 4.0, 13.0, 2.0, 2.0, 1.0))</td><td>41955.203149564586</td></tr><tr><td>15</td><td>2134.8</td><td>10</td><td>19</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(2134.8, 10.0, 19.0, 3.0, 2.0, 2.0))</td><td>71713.75573248876</td></tr><tr><td>16</td><td>2768.124</td><td>6</td><td>19</td><td>3</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2768.124, 6.0, 19.0, 3.0, 2.0, 2.0))</td><td>107663.50853371674</td></tr><tr><td>17</td><td>711.6</td><td>5</td><td>13</td><td>2</td><td>2</td><td>1</td><td>48000</td><td>List(1, 6, List(), List(711.6, 5.0, 13.0, 2.0, 2.0, 1.0))</td><td>41388.70345678425</td></tr><tr><td>18</td><td>462.54</td><td>5</td><td>13</td><td>1</td><td>1</td><td>1</td><td>25000</td><td>List(1, 6, List(), List(462.54, 5.0, 13.0, 1.0, 1.0, 1.0))</td><td>32345.47378029946</td></tr><tr><td>19</td><td>2739.66</td><td>6</td><td>19</td><td>3</td><td>2</td><td>2</td><td>90000</td><td>List(1, 6, List(), List(2739.66, 6.0, 19.0, 3.0, 2.0, 2.0))</td><td>107663.50853371674</td></tr><tr><td>20</td><td>1174.14</td><td>3</td><td>9</td><td>3</td><td>2</td><td>1</td><td>33000</td><td>List(1, 6, List(), List(1174.14, 3.0, 9.0, 3.0, 2.0, 1.0))</td><td>43897.37644149006</td></tr><tr><td>21</td><td>2490.6</td><td>19</td><td>21</td><td>5</td><td>3</td><td>4</td><td>140000</td><td>List(1, 6, List(), List(2490.6, 19.0, 21.0, 5.0, 3.0, 4.0))</td><td>136081.73516415156</td></tr><tr><td>22</td><td>2768.124</td><td>6</td><td>19</td><td>3</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2768.124, 6.0, 19.0, 3.0, 2.0, 2.0))</td><td>107663.50853371674</td></tr><tr><td>23</td><td>747.18</td><td>7</td><td>15</td><td>2</td><td>2</td><td>1</td><td>55000</td><td>List(1, 6, List(), List(747.18, 7.0, 15.0, 2.0, 2.0, 1.0))</td><td>41906.59558618726</td></tr><tr><td>24</td><td>1668.702</td><td>4</td><td>12</td><td>3</td><td>2</td><td>2</td><td>105000</td><td>List(1, 6, List(), List(1668.702, 4.0, 12.0, 3.0, 2.0, 2.0))</td><td>64090.87564260772</td></tr><tr><td>25</td><td>3664.74</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td><td>List(1, 6, List(), List(3664.74, 19.0, 19.0, 3.0, 2.0, 3.0))</td><td>182592.9882134414</td></tr><tr><td>26</td><td>1779.0</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>98000</td><td>List(1, 6, List(), List(1779.0, 10.0, 12.0, 4.0, 2.0, 2.0))</td><td>73711.07101779737</td></tr><tr><td>27</td><td>3664.74</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td><td>List(1, 6, List(), List(3664.74, 19.0, 19.0, 3.0, 2.0, 3.0))</td><td>182592.9882134414</td></tr><tr><td>28</td><td>3059.88</td><td>21</td><td>24</td><td>4</td><td>2</td><td>3</td><td>145000</td><td>List(1, 6, List(), List(3059.88, 21.0, 24.0, 4.0, 2.0, 3.0))</td><td>131329.77995947315</td></tr><tr><td>29</td><td>533.7</td><td>3</td><td>4</td><td>1</td><td>1</td><td>1</td><td>25000</td><td>List(1, 6, List(), List(533.7, 3.0, 4.0, 1.0, 1.0, 1.0))</td><td>30983.655732565716</td></tr><tr><td>30</td><td>853.92</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>24028</td><td>List(1, 6, List(), List(853.92, 6.0, 7.0, 2.0, 1.0, 1.0))</td><td>38097.5695471951</td></tr><tr><td>31</td><td>1732.746</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1732.746, 8.0, 12.0, 4.0, 2.0, 2.0))</td><td>70534.44434503777</td></tr><tr><td>32</td><td>1245.3</td><td>10</td><td>12</td><td>3</td><td>0</td><td>0</td><td>85000</td><td>List(1, 6, List(), List(1245.3, 10.0, 12.0, 3.0, 0.0, 0.0))</td><td>47792.65151515151</td></tr><tr><td>33</td><td>2134.8</td><td>10</td><td>19</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(2134.8, 10.0, 19.0, 3.0, 2.0, 2.0))</td><td>71713.75573248876</td></tr><tr><td>34</td><td>1206.162</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td><td>List(1, 6, List(), List(1206.162, 7.0, 7.0, 2.0, 2.0, 1.0))</td><td>43608.72602096987</td></tr><tr><td>35</td><td>861.036</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>46000</td><td>List(1, 6, List(), List(861.036, 5.0, 12.0, 2.0, 2.0, 1.0))</td><td>41233.976648529395</td></tr><tr><td>36</td><td>462.54</td><td>3</td><td>4</td><td>1</td><td>1</td><td>1</td><td>52000</td><td>List(1, 6, List(), List(462.54, 3.0, 4.0, 1.0, 1.0, 1.0))</td><td>33178.65573256571</td></tr><tr><td>37</td><td>434.076</td><td>5</td><td>12</td><td>2</td><td>2</td><td>1</td><td>43500</td><td>List(1, 6, List(), List(434.076, 5.0, 12.0, 2.0, 2.0, 1.0))</td><td>39554.86460919192</td></tr><tr><td>38</td><td>768.528</td><td>4</td><td>4</td><td>3</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(768.528, 4.0, 4.0, 3.0, 2.0, 2.0))</td><td>40938.52144617943</td></tr><tr><td>39</td><td>3735.9</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td><td>List(1, 6, List(), List(3735.9, 19.0, 19.0, 3.0, 2.0, 3.0))</td><td>182592.9882134414</td></tr><tr><td>40</td><td>889.5</td><td>6</td><td>7</td><td>3</td><td>2</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(889.5, 6.0, 7.0, 3.0, 2.0, 1.0))</td><td>43456.581410434155</td></tr><tr><td>41</td><td>3063.438</td><td>21</td><td>24</td><td>5</td><td>2</td><td>4</td><td>145000</td><td>List(1, 6, List(), List(3063.438, 21.0, 24.0, 5.0, 2.0, 4.0))</td><td>143875.11607058428</td></tr><tr><td>42</td><td>925.08</td><td>10</td><td>14</td><td>2</td><td>1</td><td>1</td><td>48000</td><td>List(1, 6, List(), List(925.08, 10.0, 14.0, 2.0, 1.0, 1.0))</td><td>41153.42647027202</td></tr><tr><td>43</td><td>1174.14</td><td>2</td><td>14</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1174.14, 2.0, 14.0, 3.0, 2.0, 2.0))</td><td>51117.25722961598</td></tr><tr><td>44</td><td>1352.04</td><td>1</td><td>4</td><td>4</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1352.04, 1.0, 4.0, 4.0, 2.0, 2.0))</td><td>47597.43326637068</td></tr><tr><td>45</td><td>1771.884</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1771.884, 7.0, 15.0, 4.0, 2.0, 2.0))</td><td>77578.6903010751</td></tr><tr><td>46</td><td>1601.1</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1601.1, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>62403.93073086259</td></tr><tr><td>47</td><td>1487.244</td><td>2</td><td>6</td><td>2</td><td>2</td><td>2</td><td>47999</td><td>List(1, 6, List(), List(1487.244, 2.0, 6.0, 2.0, 2.0, 2.0))</td><td>47580.938581002796</td></tr><tr><td>48</td><td>2277.12</td><td>2</td><td>25</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2277.12, 2.0, 25.0, 3.0, 2.0, 2.0))</td><td>82381.79874989692</td></tr><tr><td>49</td><td>3735.9</td><td>19</td><td>19</td><td>3</td><td>2</td><td>3</td><td>200000</td><td>List(1, 6, List(), List(3735.9, 19.0, 19.0, 3.0, 2.0, 3.0))</td><td>182592.9882134414</td></tr><tr><td>50</td><td>711.6</td><td>4</td><td>7</td><td>2</td><td>1</td><td>1</td><td>24030</td><td>List(1, 6, List(), List(711.6, 4.0, 7.0, 2.0, 1.0, 1.0))</td><td>36589.74708082149</td></tr><tr><td>51</td><td>2241.54</td><td>7</td><td>13</td><td>4</td><td>2</td><td>2</td><td>76000</td><td>List(1, 6, List(), List(2241.54, 7.0, 13.0, 4.0, 2.0, 2.0))</td><td>80827.25298698145</td></tr><tr><td>52</td><td>1494.36</td><td>1</td><td>5</td><td>2</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1494.36, 1.0, 5.0, 2.0, 2.0, 2.0))</td><td>52073.41282903446</td></tr><tr><td>53</td><td>711.6</td><td>2</td><td>3</td><td>2</td><td>2</td><td>1</td><td>32500</td><td>List(1, 6, List(), List(711.6, 2.0, 3.0, 2.0, 2.0, 1.0))</td><td>36757.775424851614</td></tr><tr><td>54</td><td>889.5</td><td>2</td><td>6</td><td>2</td><td>2</td><td>1</td><td>30032</td><td>List(1, 6, List(), List(889.5, 2.0, 6.0, 2.0, 2.0, 1.0))</td><td>38319.04892381642</td></tr><tr><td>55</td><td>4643.19</td><td>1</td><td>6</td><td>5</td><td>4</td><td>4</td><td>180000</td><td>List(1, 6, List(), List(4643.19, 1.0, 6.0, 5.0, 4.0, 4.0))</td><td>155787.5890070922</td></tr><tr><td>56</td><td>2191.728</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2191.728, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>64815.28229101121</td></tr><tr><td>57</td><td>640.44</td><td>5</td><td>7</td><td>1</td><td>1</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(640.44, 5.0, 7.0, 1.0, 1.0, 1.0))</td><td>34713.20925614617</td></tr><tr><td>58</td><td>1067.4</td><td>12</td><td>12</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1067.4, 12.0, 12.0, 3.0, 2.0, 2.0))</td><td>51936.336225903084</td></tr><tr><td>59</td><td>640.44</td><td>2</td><td>6</td><td>2</td><td>2</td><td>1</td><td>29032</td><td>List(1, 6, List(), List(640.44, 2.0, 6.0, 2.0, 2.0, 1.0))</td><td>37458.99477969033</td></tr><tr><td>60</td><td>1362.714</td><td>1</td><td>7</td><td>3</td><td>2</td><td>2</td><td>43000</td><td>List(1, 6, List(), List(1362.714, 1.0, 7.0, 3.0, 2.0, 2.0))</td><td>50682.14061047176</td></tr><tr><td>61</td><td>604.86</td><td>6</td><td>10</td><td>2</td><td>1</td><td>1</td><td>30000</td><td>List(1, 6, List(), List(604.86, 6.0, 10.0, 2.0, 1.0, 1.0))</td><td>36589.74708082149</td></tr><tr><td>62</td><td>889.5</td><td>2</td><td>4</td><td>4</td><td>1</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(889.5, 2.0, 4.0, 4.0, 1.0, 1.0))</td><td>35033.26603917526</td></tr><tr><td>63</td><td>1423.2</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1423.2, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>50682.14061047176</td></tr><tr><td>64</td><td>1184.814</td><td>2</td><td>9</td><td>3</td><td>2</td><td>2</td><td>49000</td><td>List(1, 6, List(), List(1184.814, 2.0, 9.0, 3.0, 2.0, 2.0))</td><td>50072.609467614624</td></tr><tr><td>65</td><td>391.38</td><td>5</td><td>7</td><td>1</td><td>1</td><td>1</td><td>27500</td><td>List(1, 6, List(), List(391.38, 5.0, 7.0, 1.0, 1.0, 1.0))</td><td>32345.47378029946</td></tr><tr><td>66</td><td>426.96</td><td>5</td><td>13</td><td>1</td><td>1</td><td>1</td><td>23000</td><td>List(1, 6, List(), List(426.96, 5.0, 13.0, 1.0, 1.0, 1.0))</td><td>32345.47378029946</td></tr><tr><td>67</td><td>1067.4</td><td>4</td><td>5</td><td>3</td><td>2</td><td>1</td><td>33500</td><td>List(1, 6, List(), List(1067.4, 4.0, 5.0, 3.0, 2.0, 1.0))</td><td>35955.02373919712</td></tr><tr><td>68</td><td>533.7</td><td>2</td><td>7</td><td>2</td><td>1</td><td>1</td><td>26000</td><td>List(1, 6, List(), List(533.7, 2.0, 7.0, 2.0, 1.0, 1.0))</td><td>34222.01160497479</td></tr><tr><td>69</td><td>462.54</td><td>6</td><td>14</td><td>1</td><td>1</td><td>1</td><td>27500</td><td>List(1, 6, List(), List(462.54, 6.0, 14.0, 1.0, 1.0, 1.0))</td><td>32345.47378029946</td></tr><tr><td>70</td><td>1270.206</td><td>6</td><td>8</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1270.206, 6.0, 8.0, 3.0, 2.0, 2.0))</td><td>50072.609467614624</td></tr><tr><td>71</td><td>889.5</td><td>8</td><td>12</td><td>2</td><td>1</td><td>1</td><td>25000</td><td>List(1, 6, List(), List(889.5, 8.0, 12.0, 2.0, 1.0, 1.0))</td><td>38097.5695471951</td></tr><tr><td>72</td><td>1284.438</td><td>6</td><td>12</td><td>3</td><td>2</td><td>2</td><td>41000</td><td>List(1, 6, List(), List(1284.438, 6.0, 12.0, 3.0, 2.0, 2.0))</td><td>50072.609467614624</td></tr><tr><td>73</td><td>1892.856</td><td>2</td><td>7</td><td>4</td><td>2</td><td>3</td><td>90000</td><td>List(1, 6, List(), List(1892.856, 2.0, 7.0, 4.0, 2.0, 3.0))</td><td>76851.44765505227</td></tr><tr><td>74</td><td>996.24</td><td>2</td><td>4</td><td>3</td><td>2</td><td>1</td><td>26000</td><td>List(1, 6, List(), List(996.24, 2.0, 4.0, 3.0, 2.0, 1.0))</td><td>35955.02373919712</td></tr><tr><td>75</td><td>711.6</td><td>4</td><td>7</td><td>2</td><td>2</td><td>1</td><td>38000</td><td>List(1, 6, List(), List(711.6, 4.0, 7.0, 2.0, 2.0, 1.0))</td><td>41388.70345678425</td></tr><tr><td>76</td><td>1754.094</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1754.094, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>61715.72701217042</td></tr><tr><td>77</td><td>2063.64</td><td>7</td><td>24</td><td>3</td><td>2</td><td>1</td><td>56000</td><td>List(1, 6, List(), List(2063.64, 7.0, 24.0, 3.0, 2.0, 1.0))</td><td>61843.9373426436</td></tr><tr><td>78</td><td>1522.824</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1522.824, 5.0, 12.0, 4.0, 2.0, 2.0))</td><td>66550.68074440883</td></tr><tr><td>79</td><td>1540.614</td><td>6</td><td>14</td><td>4</td><td>2</td><td>2</td><td>89900</td><td>List(1, 6, List(), List(1540.614, 6.0, 14.0, 4.0, 2.0, 2.0))</td><td>69650.35940871145</td></tr><tr><td>80</td><td>914.406</td><td>2</td><td>4</td><td>2</td><td>2</td><td>1</td><td>37000</td><td>List(1, 6, List(), List(914.406, 2.0, 4.0, 2.0, 2.0, 1.0))</td><td>36399.73074199824</td></tr><tr><td>81</td><td>1558.404</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>48800</td><td>List(1, 6, List(), List(1558.404, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>62403.93073086259</td></tr><tr><td>82</td><td>772.086</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>39000</td><td>List(1, 6, List(), List(772.086, 6.0, 7.0, 2.0, 1.0, 1.0))</td><td>38097.5695471951</td></tr><tr><td>83</td><td>711.6</td><td>8</td><td>9</td><td>2</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(711.6, 8.0, 9.0, 2.0, 2.0, 1.0))</td><td>41340.09589340692</td></tr><tr><td>84</td><td>747.18</td><td>5</td><td>9</td><td>2</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(747.18, 5.0, 9.0, 2.0, 2.0, 2.0))</td><td>48130.43617568915</td></tr><tr><td>85</td><td>1227.51</td><td>5</td><td>12</td><td>3</td><td>1</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1227.51, 5.0, 12.0, 3.0, 1.0, 2.0))</td><td>48463.49036846295</td></tr><tr><td>86</td><td>1451.664</td><td>2</td><td>5</td><td>3</td><td>3</td><td>2</td><td>46000</td><td>List(1, 6, List(), List(1451.664, 2.0, 5.0, 3.0, 3.0, 2.0))</td><td>45561.022305224935</td></tr><tr><td>87</td><td>3255.57</td><td>4</td><td>7</td><td>4</td><td>2</td><td>4</td><td>130000</td><td>List(1, 6, List(), List(3255.57, 4.0, 7.0, 4.0, 2.0, 4.0))</td><td>133153.44773725094</td></tr><tr><td>88</td><td>1779.0</td><td>7</td><td>12</td><td>4</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1779.0, 7.0, 12.0, 4.0, 2.0, 2.0))</td><td>72725.6090441799</td></tr><tr><td>89</td><td>1892.856</td><td>2</td><td>7</td><td>4</td><td>2</td><td>3</td><td>78000</td><td>List(1, 6, List(), List(1892.856, 2.0, 7.0, 4.0, 2.0, 3.0))</td><td>76851.44765505227</td></tr><tr><td>90</td><td>2312.7</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(2312.7, 7.0, 15.0, 4.0, 2.0, 2.0))</td><td>82604.31965364811</td></tr><tr><td>91</td><td>1992.48</td><td>5</td><td>12</td><td>3</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1992.48, 5.0, 12.0, 3.0, 2.0, 2.0))</td><td>69892.56712440218</td></tr><tr><td>92</td><td>2063.64</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(2063.64, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>71596.87270466669</td></tr><tr><td>93</td><td>1529.94</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>49800</td><td>List(1, 6, List(), List(1529.94, 2.0, 7.0, 2.0, 2.0, 2.0))</td><td>58917.27195186013</td></tr><tr><td>94</td><td>2145.474</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>79999</td><td>List(1, 6, List(), List(2145.474, 5.0, 6.0, 4.0, 2.0, 2.0))</td><td>68273.37770173847</td></tr><tr><td>95</td><td>2170.38</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(2170.38, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>70346.64719859383</td></tr><tr><td>96</td><td>1771.884</td><td>4</td><td>7</td><td>4</td><td>2</td><td>2</td><td>57000</td><td>List(1, 6, List(), List(1771.884, 4.0, 7.0, 4.0, 2.0, 2.0))</td><td>66698.70101176575</td></tr><tr><td>97</td><td>1956.9</td><td>6</td><td>17</td><td>4</td><td>2</td><td>2</td><td>66000</td><td>List(1, 6, List(), List(1956.9, 6.0, 17.0, 4.0, 2.0, 2.0))</td><td>77578.6903010751</td></tr><tr><td>98</td><td>1743.42</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1743.42, 3.0, 7.0, 4.0, 2.0, 2.0))</td><td>64548.76893194816</td></tr><tr><td>99</td><td>1707.84</td><td>13</td><td>20</td><td>2</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1707.84, 13.0, 20.0, 2.0, 2.0, 2.0))</td><td>61306.63617789718</td></tr><tr><td>100</td><td>2063.64</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(2063.64, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>71596.87270466669</td></tr><tr><td>102</td><td>2366.07</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(2366.07, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>65284.20161874229</td></tr><tr><td>103</td><td>1814.58</td><td>2</td><td>16</td><td>3</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1814.58, 2.0, 16.0, 3.0, 2.0, 2.0))</td><td>76375.54238512879</td></tr><tr><td>104</td><td>2938.908</td><td>2</td><td>25</td><td>4</td><td>2</td><td>2</td><td>95000</td><td>List(1, 6, List(), List(2938.908, 2.0, 25.0, 4.0, 2.0, 2.0))</td><td>101010.80670289855</td></tr><tr><td>105</td><td>3173.736</td><td>3</td><td>9</td><td>3</td><td>2</td><td>3</td><td>150000</td><td>List(1, 6, List(), List(3173.736, 3.0, 9.0, 3.0, 2.0, 3.0))</td><td>130078.93789598109</td></tr><tr><td>106</td><td>2917.56</td><td>8</td><td>16</td><td>4</td><td>2</td><td>2</td><td>150000</td><td>List(1, 6, List(), List(2917.56, 8.0, 16.0, 4.0, 2.0, 2.0))</td><td>118754.83968169538</td></tr><tr><td>107</td><td>1786.116</td><td>3</td><td>6</td><td>4</td><td>2</td><td>3</td><td>98000</td><td>List(1, 6, List(), List(1786.116, 3.0, 6.0, 4.0, 2.0, 3.0))</td><td>76851.44765505227</td></tr><tr><td>108</td><td>3202.2</td><td>12</td><td>12</td><td>5</td><td>3</td><td>3</td><td>80000</td><td>List(1, 6, List(), List(3202.2, 12.0, 12.0, 5.0, 3.0, 3.0))</td><td>118074.24143133464</td></tr><tr><td>109</td><td>583.512</td><td>6</td><td>6</td><td>1</td><td>2</td><td>1</td><td>33000</td><td>List(1, 6, List(), List(583.512, 6.0, 6.0, 1.0, 2.0, 1.0))</td><td>37586.717535962736</td></tr><tr><td>110</td><td>2099.22</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(2099.22, 7.0, 15.0, 4.0, 2.0, 2.0))</td><td>80277.01328887999</td></tr><tr><td>111</td><td>2063.64</td><td>7</td><td>15</td><td>2</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2063.64, 7.0, 15.0, 2.0, 2.0, 2.0))</td><td>75373.90905179545</td></tr><tr><td>112</td><td>2099.22</td><td>7</td><td>15</td><td>4</td><td>2</td><td>2</td><td>52000</td><td>List(1, 6, List(), List(2099.22, 7.0, 15.0, 4.0, 2.0, 2.0))</td><td>80277.01328887999</td></tr><tr><td>113</td><td>857.478</td><td>6</td><td>9</td><td>4</td><td>2</td><td>2</td><td>52000</td><td>List(1, 6, List(), List(857.478, 6.0, 9.0, 4.0, 2.0, 2.0))</td><td>56478.92448956349</td></tr><tr><td>114</td><td>2227.308</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>99999</td><td>List(1, 6, List(), List(2227.308, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>72082.2165263249</td></tr><tr><td>115</td><td>2088.546</td><td>8</td><td>19</td><td>3</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(2088.546, 8.0, 19.0, 3.0, 2.0, 2.0))</td><td>74301.61688401997</td></tr><tr><td>116</td><td>1423.2</td><td>7</td><td>14</td><td>3</td><td>2</td><td>2</td><td>92000</td><td>List(1, 6, List(), List(1423.2, 7.0, 14.0, 3.0, 2.0, 2.0))</td><td>52933.58799432979</td></tr><tr><td>117</td><td>1569.078</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1569.078, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>59944.125629061484</td></tr><tr><td>118</td><td>3202.2</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>149999</td><td>List(1, 6, List(), List(3202.2, 5.0, 6.0, 4.0, 2.0, 2.0))</td><td>121574.16448346312</td></tr><tr><td>119</td><td>711.6</td><td>6</td><td>12</td><td>2</td><td>1</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(711.6, 6.0, 12.0, 2.0, 1.0, 1.0))</td><td>36589.74708082149</td></tr><tr><td>120</td><td>391.38</td><td>13</td><td>14</td><td>1</td><td>1</td><td>1</td><td>22000</td><td>List(1, 6, List(), List(391.38, 13.0, 14.0, 1.0, 1.0, 1.0))</td><td>32596.057521558203</td></tr><tr><td>121</td><td>960.66</td><td>2</td><td>14</td><td>2</td><td>2</td><td>2</td><td>33000</td><td>List(1, 6, List(), List(960.66, 2.0, 14.0, 2.0, 2.0, 2.0))</td><td>46676.79076998865</td></tr><tr><td>122</td><td>878.826</td><td>10</td><td>14</td><td>2</td><td>1</td><td>1</td><td>48000</td><td>List(1, 6, List(), List(878.826, 10.0, 14.0, 2.0, 1.0, 1.0))</td><td>41153.42647027202</td></tr><tr><td>123</td><td>1280.88</td><td>10</td><td>12</td><td>3</td><td>2</td><td>2</td><td>53000</td><td>List(1, 6, List(), List(1280.88, 10.0, 12.0, 3.0, 2.0, 2.0))</td><td>52636.68408947131</td></tr><tr><td>124</td><td>2134.8</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>68000</td><td>List(1, 6, List(), List(2134.8, 3.0, 6.0, 3.0, 2.0, 2.0))</td><td>63992.238300228724</td></tr><tr><td>125</td><td>2149.032</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2149.032, 5.0, 6.0, 4.0, 2.0, 2.0))</td><td>68273.37770173847</td></tr><tr><td>126</td><td>2543.97</td><td>9</td><td>12</td><td>3</td><td>2</td><td>2</td><td>120000</td><td>List(1, 6, List(), List(2543.97, 9.0, 12.0, 3.0, 2.0, 2.0))</td><td>110702.76653636224</td></tr><tr><td>127</td><td>1206.162</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td><td>List(1, 6, List(), List(1206.162, 7.0, 7.0, 2.0, 2.0, 1.0))</td><td>43608.72602096987</td></tr><tr><td>128</td><td>1280.88</td><td>7</td><td>7</td><td>2</td><td>1</td><td>1</td><td>57000</td><td>List(1, 6, List(), List(1280.88, 7.0, 7.0, 2.0, 1.0, 1.0))</td><td>44852.28228438228</td></tr><tr><td>129</td><td>2067.198</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2067.198, 4.0, 14.0, 4.0, 2.0, 2.0))</td><td>80277.01328887999</td></tr><tr><td>130</td><td>1184.814</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1184.814, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>50072.609467614624</td></tr><tr><td>131</td><td>732.948</td><td>8</td><td>11</td><td>2</td><td>1</td><td>1</td><td>27000</td><td>List(1, 6, List(), List(732.948, 8.0, 11.0, 2.0, 1.0, 1.0))</td><td>38097.5695471951</td></tr><tr><td>132</td><td>1529.94</td><td>6</td><td>12</td><td>3</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1529.94, 6.0, 12.0, 3.0, 2.0, 2.0))</td><td>64090.87564260772</td></tr><tr><td>133</td><td>1572.636</td><td>2</td><td>5</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1572.636, 2.0, 5.0, 4.0, 2.0, 2.0))</td><td>54516.86089013923</td></tr><tr><td>134</td><td>2540.412</td><td>18</td><td>18</td><td>4</td><td>2</td><td>2</td><td>89000</td><td>List(1, 6, List(), List(2540.412, 18.0, 18.0, 4.0, 2.0, 2.0))</td><td>110739.03955223525</td></tr><tr><td>135</td><td>1135.002</td><td>7</td><td>12</td><td>3</td><td>2</td><td>1</td><td>40000</td><td>List(1, 6, List(), List(1135.002, 7.0, 12.0, 3.0, 2.0, 1.0))</td><td>43848.76887811273</td></tr><tr><td>136</td><td>1544.172</td><td>5</td><td>16</td><td>3</td><td>2</td><td>2</td><td>99999</td><td>List(1, 6, List(), List(1544.172, 5.0, 16.0, 3.0, 2.0, 2.0))</td><td>68820.44831074175</td></tr><tr><td>137</td><td>1921.32</td><td>4</td><td>7</td><td>4</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1921.32, 4.0, 7.0, 4.0, 2.0, 2.0))</td><td>66698.70101176575</td></tr><tr><td>138</td><td>772.086</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>39000</td><td>List(1, 6, List(), List(772.086, 6.0, 7.0, 2.0, 1.0, 1.0))</td><td>38097.5695471951</td></tr><tr><td>139</td><td>1754.094</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1754.094, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>61715.72701217042</td></tr><tr><td>140</td><td>2558.202</td><td>2</td><td>10</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(2558.202, 2.0, 10.0, 3.0, 2.0, 2.0))</td><td>108564.24107339927</td></tr><tr><td>141</td><td>1195.488</td><td>10</td><td>16</td><td>3</td><td>2</td><td>2</td><td>86888</td><td>List(1, 6, List(), List(1195.488, 10.0, 16.0, 3.0, 2.0, 2.0))</td><td>57846.4889943298</td></tr><tr><td>142</td><td>3323.172</td><td>19</td><td>21</td><td>5</td><td>3</td><td>4</td><td>140000</td><td>List(1, 6, List(), List(3323.172, 19.0, 21.0, 5.0, 3.0, 4.0))</td><td>156349.93265788583</td></tr><tr><td>143</td><td>1223.952</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>58888</td><td>List(1, 6, List(), List(1223.952, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>53365.11008665712</td></tr><tr><td>144</td><td>1184.814</td><td>7</td><td>7</td><td>2</td><td>2</td><td>1</td><td>57000</td><td>List(1, 6, List(), List(1184.814, 7.0, 7.0, 2.0, 2.0, 1.0))</td><td>43608.72602096987</td></tr><tr><td>145</td><td>1223.952</td><td>3</td><td>7</td><td>3</td><td>2</td><td>2</td><td>41888</td><td>List(1, 6, List(), List(1223.952, 3.0, 7.0, 3.0, 2.0, 2.0))</td><td>50072.609467614624</td></tr><tr><td>146</td><td>1245.3</td><td>5</td><td>6</td><td>4</td><td>2</td><td>2</td><td>39000</td><td>List(1, 6, List(), List(1245.3, 5.0, 6.0, 4.0, 2.0, 2.0))</td><td>49975.88046295188</td></tr><tr><td>147</td><td>533.7</td><td>10</td><td>12</td><td>2</td><td>1</td><td>1</td><td>29999</td><td>List(1, 6, List(), List(533.7, 10.0, 12.0, 2.0, 1.0, 1.0))</td><td>35829.870346233525</td></tr><tr><td>148</td><td>2028.06</td><td>6</td><td>15</td><td>4</td><td>2</td><td>2</td><td>88000</td><td>List(1, 6, List(), List(2028.06, 6.0, 15.0, 4.0, 2.0, 2.0))</td><td>80277.01328887999</td></tr><tr><td>149</td><td>4981.2</td><td>3</td><td>38</td><td>3</td><td>2</td><td>3</td><td>225000</td><td>List(1, 6, List(), List(4981.2, 3.0, 38.0, 3.0, 2.0, 3.0))</td><td>202554.5775362319</td></tr><tr><td>150</td><td>1245.3</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>40999</td><td>List(1, 6, List(), List(1245.3, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>50072.609467614624</td></tr><tr><td>151</td><td>1707.84</td><td>3</td><td>20</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1707.84, 3.0, 20.0, 3.0, 2.0, 2.0))</td><td>66886.44296467169</td></tr><tr><td>152</td><td>1779.0</td><td>10</td><td>13</td><td>4</td><td>2</td><td>2</td><td>97999</td><td>List(1, 6, List(), List(1779.0, 10.0, 13.0, 4.0, 2.0, 2.0))</td><td>75052.68788242059</td></tr><tr><td>153</td><td>1956.9</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>77000</td><td>List(1, 6, List(), List(1956.9, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>66698.70101176575</td></tr><tr><td>154</td><td>1779.0</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>57000</td><td>List(1, 6, List(), List(1779.0, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>66698.70101176575</td></tr><tr><td>155</td><td>889.5</td><td>10</td><td>14</td><td>2</td><td>1</td><td>1</td><td>52000</td><td>List(1, 6, List(), List(889.5, 10.0, 14.0, 2.0, 1.0, 1.0))</td><td>41153.42647027202</td></tr><tr><td>156</td><td>996.24</td><td>11</td><td>14</td><td>3</td><td>2</td><td>2</td><td>44999</td><td>List(1, 6, List(), List(996.24, 11.0, 14.0, 3.0, 2.0, 2.0))</td><td>52980.983987904445</td></tr><tr><td>158</td><td>1067.4</td><td>4</td><td>7</td><td>3</td><td>2</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(1067.4, 4.0, 7.0, 3.0, 2.0, 1.0))</td><td>43456.581410434155</td></tr><tr><td>159</td><td>900.174</td><td>10</td><td>21</td><td>1</td><td>2</td><td>1</td><td>50000</td><td>List(1, 6, List(), List(900.174, 10.0, 21.0, 1.0, 2.0, 1.0))</td><td>41414.69618111166</td></tr><tr><td>160</td><td>1704.282</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>59888</td><td>List(1, 6, List(), List(1704.282, 3.0, 6.0, 3.0, 2.0, 2.0))</td><td>54560.57865158598</td></tr><tr><td>161</td><td>1284.438</td><td>6</td><td>12</td><td>3</td><td>2</td><td>2</td><td>41000</td><td>List(1, 6, List(), List(1284.438, 6.0, 12.0, 3.0, 2.0, 2.0))</td><td>50072.609467614624</td></tr><tr><td>162</td><td>1565.52</td><td>2</td><td>6</td><td>3</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(1565.52, 2.0, 6.0, 3.0, 2.0, 1.0))</td><td>44703.090989989716</td></tr><tr><td>163</td><td>1487.244</td><td>1</td><td>7</td><td>3</td><td>2</td><td>3</td><td>68000</td><td>List(1, 6, List(), List(1487.244, 1.0, 7.0, 3.0, 2.0, 3.0))</td><td>72913.51298823077</td></tr><tr><td>164</td><td>572.838</td><td>14</td><td>14</td><td>1</td><td>1</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(572.838, 14.0, 14.0, 1.0, 1.0, 1.0))</td><td>32596.057521558203</td></tr><tr><td>165</td><td>683.136</td><td>4</td><td>5</td><td>2</td><td>2</td><td>1</td><td>28000</td><td>List(1, 6, List(), List(683.136, 4.0, 5.0, 2.0, 2.0, 1.0))</td><td>36152.775424851614</td></tr><tr><td>166</td><td>4091.7</td><td>2</td><td>15</td><td>3</td><td>2</td><td>4</td><td>180000</td><td>List(1, 6, List(), List(4091.7, 2.0, 15.0, 3.0, 2.0, 4.0))</td><td>160498.70011820333</td></tr><tr><td>167</td><td>1124.328</td><td>3</td><td>5</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1124.328, 3.0, 5.0, 3.0, 2.0, 2.0))</td><td>42417.07939766192</td></tr><tr><td>168</td><td>1789.674</td><td>10</td><td>12</td><td>4</td><td>2</td><td>2</td><td>88000</td><td>List(1, 6, List(), List(1789.674, 10.0, 12.0, 4.0, 2.0, 2.0))</td><td>73711.07101779737</td></tr><tr><td>169</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(1889.298, 2.0, 14.0, 4.0, 2.0, 2.0))</td><td>77578.6903010751</td></tr><tr><td>170</td><td>2205.96</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2205.96, 4.0, 15.0, 3.0, 2.0, 2.0))</td><td>76375.54238512879</td></tr><tr><td>171</td><td>1601.1</td><td>5</td><td>12</td><td>2</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1601.1, 5.0, 12.0, 2.0, 2.0, 2.0))</td><td>62104.491545825964</td></tr><tr><td>172</td><td>1085.19</td><td>12</td><td>19</td><td>2</td><td>2</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(1085.19, 12.0, 19.0, 2.0, 2.0, 1.0))</td><td>42283.091252639744</td></tr><tr><td>173</td><td>1921.32</td><td>4</td><td>7</td><td>4</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1921.32, 4.0, 7.0, 4.0, 2.0, 2.0))</td><td>66698.70101176575</td></tr><tr><td>174</td><td>1707.84</td><td>9</td><td>15</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(1707.84, 9.0, 15.0, 3.0, 2.0, 2.0))</td><td>67966.98488481581</td></tr><tr><td>175</td><td>2120.568</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>98000</td><td>List(1, 6, List(), List(2120.568, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>66065.50779708408</td></tr><tr><td>176</td><td>2782.356</td><td>12</td><td>13</td><td>3</td><td>2</td><td>3</td><td>120000</td><td>List(1, 6, List(), List(2782.356, 12.0, 13.0, 3.0, 2.0, 3.0))</td><td>113815.6848865306</td></tr><tr><td>177</td><td>914.406</td><td>2</td><td>4</td><td>2</td><td>2</td><td>1</td><td>37000</td><td>List(1, 6, List(), List(914.406, 2.0, 4.0, 2.0, 2.0, 1.0))</td><td>36399.73074199824</td></tr><tr><td>178</td><td>1850.16</td><td>16</td><td>18</td><td>4</td><td>2</td><td>3</td><td>82000</td><td>List(1, 6, List(), List(1850.16, 16.0, 18.0, 4.0, 2.0, 3.0))</td><td>84506.2106268795</td></tr><tr><td>179</td><td>1889.298</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(1889.298, 2.0, 14.0, 4.0, 2.0, 2.0))</td><td>77578.6903010751</td></tr><tr><td>180</td><td>1245.3</td><td>2</td><td>5</td><td>3</td><td>2</td><td>2</td><td>35000</td><td>List(1, 6, List(), List(1245.3, 2.0, 5.0, 3.0, 2.0, 2.0))</td><td>42417.07939766192</td></tr><tr><td>181</td><td>1494.36</td><td>2</td><td>7</td><td>2</td><td>2</td><td>2</td><td>49800</td><td>List(1, 6, List(), List(1494.36, 2.0, 7.0, 2.0, 2.0, 2.0))</td><td>51577.57033452549</td></tr><tr><td>182</td><td>1487.244</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>33700</td><td>List(1, 6, List(), List(1487.244, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>54499.51326126029</td></tr><tr><td>183</td><td>1690.05</td><td>7</td><td>14</td><td>3</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1690.05, 7.0, 14.0, 3.0, 2.0, 2.0))</td><td>68820.44831074175</td></tr><tr><td>184</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(796.992, 3.0, 12.0, 2.0, 2.0, 2.0))</td><td>48130.43617568915</td></tr><tr><td>185</td><td>3255.57</td><td>4</td><td>7</td><td>4</td><td>2</td><td>5</td><td>130000</td><td>List(1, 6, List(), List(3255.57, 4.0, 7.0, 4.0, 2.0, 5.0))</td><td>128953.44773725094</td></tr><tr><td>186</td><td>1063.842</td><td>3</td><td>7</td><td>2</td><td>1</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(1063.842, 3.0, 7.0, 2.0, 1.0, 1.0))</td><td>38097.5695471951</td></tr><tr><td>187</td><td>1263.09</td><td>5</td><td>7</td><td>2</td><td>1</td><td>2</td><td>37000</td><td>List(1, 6, List(), List(1263.09, 5.0, 7.0, 2.0, 1.0, 2.0))</td><td>43515.75355995232</td></tr><tr><td>188</td><td>1352.04</td><td>5</td><td>5</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1352.04, 5.0, 5.0, 3.0, 2.0, 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1.0))</td><td>36221.03172251977</td></tr><tr><td>420</td><td>1885.74</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>54999</td><td>List(1, 6, List(), List(1885.74, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>63865.659091988</td></tr><tr><td>421</td><td>2782.356</td><td>12</td><td>13</td><td>3</td><td>2</td><td>3</td><td>123456</td><td>List(1, 6, List(), List(2782.356, 12.0, 13.0, 3.0, 2.0, 3.0))</td><td>113815.6848865306</td></tr><tr><td>422</td><td>711.6</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>28000</td><td>List(1, 6, List(), List(711.6, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>49631.81443655872</td></tr><tr><td>423</td><td>469.656</td><td>7</td><td>7</td><td>1</td><td>1</td><td>1</td><td>34000</td><td>List(1, 6, List(), List(469.656, 7.0, 7.0, 1.0, 1.0, 1.0))</td><td>32345.47378029946</td></tr><tr><td>424</td><td>793.434</td><td>11</td><td>14</td><td>2</td><td>1</td><td>1</td><td>40000</td><td>List(1, 6, List(), List(793.434, 11.0, 14.0, 2.0, 1.0, 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2.0))</td><td>55853.260793461246</td></tr><tr><td>480</td><td>1227.51</td><td>5</td><td>12</td><td>2</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1227.51, 5.0, 12.0, 2.0, 2.0, 2.0))</td><td>48889.70946761462</td></tr><tr><td>481</td><td>1401.852</td><td>2</td><td>6</td><td>3</td><td>2</td><td>3</td><td>60000</td><td>List(1, 6, List(), List(1401.852, 2.0, 6.0, 3.0, 2.0, 3.0))</td><td>59234.19715278562</td></tr><tr><td>482</td><td>569.28</td><td>9</td><td>9</td><td>2</td><td>2</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(569.28, 9.0, 9.0, 2.0, 2.0, 1.0))</td><td>39506.257045814586</td></tr><tr><td>483</td><td>2173.938</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(2173.938, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>70346.64719859383</td></tr><tr><td>484</td><td>2213.076</td><td>2</td><td>14</td><td>4</td><td>2</td><td>2</td><td>108000</td><td>List(1, 6, List(), List(2213.076, 2.0, 14.0, 4.0, 2.0, 2.0))</td><td>82604.31965364811</td></tr><tr><td>485</td><td>2063.64</td><td>4</td><td>14</td><td>4</td><td>2</td><td>2</td><td>100000</td><td>List(1, 6, List(), List(2063.64, 4.0, 14.0, 4.0, 2.0, 2.0))</td><td>80277.01328887999</td></tr><tr><td>486</td><td>1707.84</td><td>9</td><td>15</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(1707.84, 9.0, 15.0, 3.0, 2.0, 2.0))</td><td>67966.98488481581</td></tr><tr><td>487</td><td>900.174</td><td>4</td><td>7</td><td>2</td><td>2</td><td>2</td><td>88000</td><td>List(1, 6, List(), List(900.174, 4.0, 7.0, 2.0, 2.0, 2.0))</td><td>47409.20967465396</td></tr><tr><td>488</td><td>1465.896</td><td>6</td><td>7</td><td>2</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(1465.896, 6.0, 7.0, 2.0, 2.0, 2.0))</td><td>51052.698302779456</td></tr><tr><td>489</td><td>1316.46</td><td>4</td><td>13</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1316.46, 4.0, 13.0, 3.0, 2.0, 2.0))</td><td>49340.19056294931</td></tr><tr><td>490</td><td>740.064</td><td>6</td><td>14</td><td>1</td><td>1</td><td>1</td><td>38800</td><td>List(1, 6, List(), List(740.064, 6.0, 14.0, 1.0, 1.0, 1.0))</td><td>36221.03172251977</td></tr><tr><td>491</td><td>754.296</td><td>2</td><td>9</td><td>1</td><td>1</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(754.296, 2.0, 9.0, 1.0, 1.0, 1.0))</td><td>37235.81267490072</td></tr><tr><td>492</td><td>1647.354</td><td>10</td><td>14</td><td>2</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1647.354, 10.0, 14.0, 2.0, 2.0, 2.0))</td><td>62469.13639576209</td></tr><tr><td>493</td><td>811.224</td><td>5</td><td>12</td><td>2</td><td>1</td><td>1</td><td>43500</td><td>List(1, 6, List(), List(811.224, 5.0, 12.0, 2.0, 1.0, 1.0))</td><td>38097.5695471951</td></tr><tr><td>494</td><td>1487.244</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1487.244, 8.0, 12.0, 4.0, 2.0, 2.0))</td><td>57534.29648100057</td></tr><tr><td>495</td><td>1494.36</td><td>1</td><td>4</td><td>4</td><td>2</td><td>3</td><td>150000</td><td>List(1, 6, List(), List(1494.36, 1.0, 4.0, 4.0, 2.0, 3.0))</td><td>86600.3949250121</td></tr><tr><td>496</td><td>2914.002</td><td>5</td><td>15</td><td>3</td><td>2</td><td>2</td><td>110000</td><td>List(1, 6, List(), List(2914.002, 5.0, 15.0, 3.0, 2.0, 2.0))</td><td>118754.83968169538</td></tr><tr><td>497</td><td>1665.144</td><td>7</td><td>12</td><td>4</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1665.144, 7.0, 12.0, 4.0, 2.0, 2.0))</td><td>66550.68074440883</td></tr><tr><td>498</td><td>1732.746</td><td>8</td><td>12</td><td>4</td><td>2</td><td>2</td><td>72000</td><td>List(1, 6, List(), List(1732.746, 8.0, 12.0, 4.0, 2.0, 2.0))</td><td>70534.44434503777</td></tr><tr><td>499</td><td>853.92</td><td>8</td><td>14</td><td>2</td><td>1</td><td>1</td><td>42000</td><td>List(1, 6, List(), List(853.92, 8.0, 14.0, 2.0, 1.0, 1.0))</td><td>38097.5695471951</td></tr><tr><td>500</td><td>1885.74</td><td>6</td><td>7</td><td>4</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1885.74, 6.0, 7.0, 4.0, 2.0, 2.0))</td><td>66698.70101176575</td></tr><tr><td>501</td><td>889.5</td><td>11</td><td>13</td><td>2</td><td>2</td><td>2</td><td>49998</td><td>List(1, 6, List(), List(889.5, 11.0, 13.0, 2.0, 2.0, 2.0))</td><td>48981.31255933301</td></tr><tr><td>502</td><td>2455.02</td><td>12</td><td>25</td><td>4</td><td>2</td><td>2</td><td>110000</td><td>List(1, 6, List(), List(2455.02, 12.0, 25.0, 4.0, 2.0, 2.0))</td><td>102479.35848165097</td></tr><tr><td>503</td><td>1067.4</td><td>6</td><td>9</td><td>4</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1067.4, 6.0, 9.0, 4.0, 2.0, 2.0))</td><td>56478.92448956349</td></tr><tr><td>504</td><td>1102.98</td><td>2</td><td>9</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1102.98, 2.0, 9.0, 3.0, 2.0, 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2.0))</td><td>49631.81443655872</td></tr><tr><td>510</td><td>1885.74</td><td>7</td><td>12</td><td>3</td><td>1</td><td>2</td><td>77000</td><td>List(1, 6, List(), List(1885.74, 7.0, 12.0, 3.0, 1.0, 2.0))</td><td>64365.377725281425</td></tr><tr><td>511</td><td>2028.06</td><td>12</td><td>12</td><td>5</td><td>1</td><td>1</td><td>89000</td><td>List(1, 6, List(), List(2028.06, 12.0, 12.0, 5.0, 1.0, 1.0))</td><td>68927.03272486772</td></tr><tr><td>512</td><td>540.816</td><td>5</td><td>11</td><td>2</td><td>1</td><td>1</td><td>28500</td><td>List(1, 6, List(), List(540.816, 5.0, 11.0, 2.0, 1.0, 1.0))</td><td>34222.01160497479</td></tr><tr><td>513</td><td>590.628</td><td>8</td><td>9</td><td>2</td><td>1</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(590.628, 8.0, 9.0, 2.0, 1.0, 1.0))</td><td>34222.01160497479</td></tr><tr><td>514</td><td>2170.38</td><td>9</td><td>15</td><td>4</td><td>2</td><td>2</td><td>110000</td><td>List(1, 6, List(), List(2170.38, 9.0, 15.0, 4.0, 2.0, 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1.0))</td><td>35955.02373919712</td></tr><tr><td>535</td><td>441.192</td><td>3</td><td>6</td><td>1</td><td>2</td><td>1</td><td>40000</td><td>List(1, 6, List(), List(441.192, 3.0, 6.0, 1.0, 2.0, 1.0))</td><td>37586.717535962736</td></tr><tr><td>536</td><td>1757.652</td><td>6</td><td>7</td><td>4</td><td>2</td><td>3</td><td>65000</td><td>List(1, 6, List(), List(1757.652, 6.0, 7.0, 4.0, 2.0, 3.0))</td><td>72156.81547827282</td></tr><tr><td>537</td><td>1974.69</td><td>6</td><td>17</td><td>4</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1974.69, 6.0, 17.0, 4.0, 2.0, 2.0))</td><td>77578.6903010751</td></tr><tr><td>538</td><td>711.6</td><td>5</td><td>7</td><td>2</td><td>2</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(711.6, 5.0, 7.0, 2.0, 2.0, 1.0))</td><td>41388.70345678425</td></tr><tr><td>539</td><td>1825.254</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1825.254, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>63865.659091988</td></tr><tr><td>540</td><td>1814.58</td><td>6</td><td>14</td><td>4</td><td>2</td><td>3</td><td>85000</td><td>List(1, 6, List(), List(1814.58, 6.0, 14.0, 4.0, 2.0, 3.0))</td><td>83661.6496196081</td></tr><tr><td>541</td><td>1426.758</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>48120</td><td>List(1, 6, List(), List(1426.758, 3.0, 12.0, 3.0, 2.0, 2.0))</td><td>50682.14061047176</td></tr><tr><td>542</td><td>469.656</td><td>9</td><td>12</td><td>1</td><td>1</td><td>1</td><td>35000</td><td>List(1, 6, List(), List(469.656, 9.0, 12.0, 1.0, 1.0, 1.0))</td><td>32345.47378029946</td></tr><tr><td>543</td><td>1149.234</td><td>10</td><td>12</td><td>3</td><td>2</td><td>1</td><td>50000</td><td>List(1, 6, List(), List(1149.234, 10.0, 12.0, 3.0, 2.0, 1.0))</td><td>45206.04387811273</td></tr><tr><td>544</td><td>2309.142</td><td>16</td><td>21</td><td>4</td><td>2</td><td>4</td><td>138000</td><td>List(1, 6, List(), List(2309.142, 16.0, 21.0, 4.0, 2.0, 4.0))</td><td>110043.0564148878</td></tr><tr><td>545</td><td>1102.98</td><td>2</td><td>4</td><td>2</td><td>1</td><td>2</td><td>31000</td><td>List(1, 6, List(), List(1102.98, 2.0, 4.0, 2.0, 1.0, 2.0))</td><td>37667.30840669662</td></tr><tr><td>546</td><td>782.76</td><td>3</td><td>5</td><td>2</td><td>1</td><td>1</td><td>30000</td><td>List(1, 6, List(), List(782.76, 3.0, 5.0, 2.0, 1.0, 1.0))</td><td>32603.86461060383</td></tr><tr><td>547</td><td>1352.04</td><td>9</td><td>13</td><td>3</td><td>2</td><td>2</td><td>48000</td><td>List(1, 6, List(), List(1352.04, 9.0, 13.0, 3.0, 2.0, 2.0))</td><td>51156.52132766313</td></tr><tr><td>548</td><td>1494.36</td><td>6</td><td>7</td><td>4</td><td>1</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1494.36, 6.0, 7.0, 4.0, 1.0, 2.0))</td><td>52863.1892240464</td></tr><tr><td>549</td><td>1245.3</td><td>5</td><td>6</td><td>3</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1245.3, 5.0, 6.0, 3.0, 2.0, 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3.0))</td><td>76985.14927230046</td></tr><tr><td>555</td><td>1885.74</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1885.74, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>66698.70101176575</td></tr><tr><td>556</td><td>1761.21</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1761.21, 3.0, 6.0, 3.0, 2.0, 2.0))</td><td>56332.18003469492</td></tr><tr><td>557</td><td>1761.21</td><td>3</td><td>6</td><td>4</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1761.21, 3.0, 6.0, 4.0, 2.0, 2.0))</td><td>59165.22195447264</td></tr><tr><td>558</td><td>889.5</td><td>11</td><td>18</td><td>2</td><td>2</td><td>1</td><td>30500</td><td>List(1, 6, List(), List(889.5, 11.0, 18.0, 2.0, 2.0, 1.0))</td><td>42283.091252639744</td></tr><tr><td>559</td><td>2668.5</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>138888</td><td>List(1, 6, List(), List(2668.5, 5.0, 12.0, 4.0, 2.0, 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1.0))</td><td>32345.47378029946</td></tr><tr><td>580</td><td>693.81</td><td>2</td><td>7</td><td>1</td><td>1</td><td>1</td><td>33000</td><td>List(1, 6, List(), List(693.81, 2.0, 7.0, 1.0, 1.0, 1.0))</td><td>34713.20925614617</td></tr><tr><td>581</td><td>1576.194</td><td>3</td><td>7</td><td>4</td><td>2</td><td>2</td><td>44000</td><td>List(1, 6, List(), List(1576.194, 3.0, 7.0, 4.0, 2.0, 2.0))</td><td>62403.93073086259</td></tr><tr><td>582</td><td>5760.402</td><td>9</td><td>15</td><td>3</td><td>2</td><td>3</td><td>170000</td><td>List(1, 6, List(), List(5760.402, 9.0, 15.0, 3.0, 2.0, 3.0))</td><td>160190.00285990603</td></tr><tr><td>583</td><td>796.992</td><td>3</td><td>12</td><td>2</td><td>2</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(796.992, 3.0, 12.0, 2.0, 2.0, 1.0))</td><td>41955.203149564586</td></tr><tr><td>584</td><td>2052.966</td><td>5</td><td>7</td><td>4</td><td>2</td><td>2</td><td>78000</td><td>List(1, 6, List(), List(2052.966, 5.0, 7.0, 4.0, 2.0, 2.0))</td><td>71596.87270466669</td></tr><tr><td>585</td><td>1163.466</td><td>2</td><td>7</td><td>3</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1163.466, 2.0, 7.0, 3.0, 2.0, 2.0))</td><td>50072.609467614624</td></tr><tr><td>586</td><td>1316.46</td><td>4</td><td>15</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1316.46, 4.0, 15.0, 3.0, 2.0, 2.0))</td><td>51117.25722961598</td></tr><tr><td>587</td><td>1099.422</td><td>4</td><td>12</td><td>2</td><td>2</td><td>1</td><td>38800</td><td>List(1, 6, List(), List(1099.422, 4.0, 12.0, 2.0, 2.0, 1.0))</td><td>41233.976648529395</td></tr><tr><td>588</td><td>1480.128</td><td>4</td><td>7</td><td>2</td><td>2</td><td>2</td><td>99999</td><td>List(1, 6, List(), List(1480.128, 4.0, 7.0, 2.0, 2.0, 2.0))</td><td>51052.698302779456</td></tr><tr><td>589</td><td>2739.66</td><td>5</td><td>21</td><td>4</td><td>2</td><td>2</td><td>150000</td><td>List(1, 6, List(), List(2739.66, 5.0, 21.0, 4.0, 2.0, 2.0))</td><td>109423.50853371674</td></tr><tr><td>590</td><td>800.55</td><td>3</td><td>4</td><td>2</td><td>2</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(800.55, 3.0, 4.0, 2.0, 2.0, 1.0))</td><td>36757.775424851614</td></tr><tr><td>591</td><td>676.02</td><td>6</td><td>7</td><td>2</td><td>1</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(676.02, 6.0, 7.0, 2.0, 1.0, 1.0))</td><td>36589.74708082149</td></tr><tr><td>592</td><td>964.218</td><td>4</td><td>4</td><td>3</td><td>2</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(964.218, 4.0, 4.0, 3.0, 2.0, 1.0))</td><td>35955.02373919712</td></tr><tr><td>593</td><td>1832.37</td><td>9</td><td>16</td><td>4</td><td>2</td><td>2</td><td>69000</td><td>List(1, 6, List(), List(1832.37, 9.0, 16.0, 4.0, 2.0, 2.0))</td><td>78564.15227469256</td></tr><tr><td>594</td><td>782.76</td><td>10</td><td>14</td><td>1</td><td>0</td><td>1</td><td>31000</td><td>List(1, 6, List(), List(782.76, 10.0, 14.0, 1.0, 0.0, 1.0))</td><td>32252.558115442138</td></tr><tr><td>595</td><td>1551.288</td><td>5</td><td>5</td><td>4</td><td>2</td><td>2</td><td>59800</td><td>List(1, 6, List(), List(1551.288, 5.0, 5.0, 4.0, 2.0, 2.0))</td><td>54516.86089013923</td></tr><tr><td>596</td><td>1102.98</td><td>2</td><td>4</td><td>2</td><td>2</td><td>2</td><td>31000</td><td>List(1, 6, List(), List(1102.98, 2.0, 4.0, 2.0, 2.0, 2.0))</td><td>41383.22844898055</td></tr><tr><td>597</td><td>989.124</td><td>9</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td><td>List(1, 6, List(), List(989.124, 9.0, 12.0, 3.0, 2.0, 2.0))</td><td>50838.6140584154</td></tr><tr><td>598</td><td>711.6</td><td>9</td><td>14</td><td>2</td><td>1</td><td>1</td><td>27000</td><td>List(1, 6, List(), List(711.6, 9.0, 14.0, 2.0, 1.0, 1.0))</td><td>36589.74708082149</td></tr><tr><td>599</td><td>1458.78</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1458.78, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>50682.14061047176</td></tr><tr><td>600</td><td>1359.156</td><td>7</td><td>16</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1359.156, 7.0, 16.0, 3.0, 2.0, 2.0))</td><td>53675.401494329795</td></tr><tr><td>601</td><td>2063.64</td><td>5</td><td>9</td><td>4</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(2063.64, 5.0, 9.0, 4.0, 2.0, 2.0))</td><td>73477.03072353461</td></tr><tr><td>602</td><td>846.804</td><td>14</td><td>14</td><td>2</td><td>2</td><td>1</td><td>29000</td><td>List(1, 6, List(), List(846.804, 14.0, 14.0, 2.0, 2.0, 1.0))</td><td>42283.091252639744</td></tr><tr><td>603</td><td>1458.78</td><td>21</td><td>27</td><td>3</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1458.78, 21.0, 27.0, 3.0, 2.0, 2.0))</td><td>61614.91515858419</td></tr><tr><td>604</td><td>1127.886</td><td>4</td><td>5</td><td>3</td><td>2</td><td>2</td><td>26000</td><td>List(1, 6, List(), List(1127.886, 4.0, 5.0, 3.0, 2.0, 2.0))</td><td>42417.07939766192</td></tr><tr><td>605</td><td>1355.598</td><td>5</td><td>19</td><td>2</td><td>2</td><td>2</td><td>69999</td><td>List(1, 6, List(), List(1355.598, 5.0, 19.0, 2.0, 2.0, 2.0))</td><td>52160.711498141565</td></tr><tr><td>606</td><td>1892.856</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>129999</td><td>List(1, 6, List(), List(1892.856, 5.0, 12.0, 4.0, 2.0, 2.0))</td><td>72725.6090441799</td></tr><tr><td>607</td><td>1031.82</td><td>3</td><td>6</td><td>3</td><td>2</td><td>2</td><td>21000</td><td>List(1, 6, List(), List(1031.82, 3.0, 6.0, 3.0, 2.0, 2.0))</td><td>44597.419762609454</td></tr><tr><td>608</td><td>1707.84</td><td>5</td><td>7</td><td>3</td><td>2</td><td>2</td><td>50000</td><td>List(1, 6, List(), List(1707.84, 5.0, 7.0, 3.0, 2.0, 2.0))</td><td>59944.125629061484</td></tr><tr><td>609</td><td>640.44</td><td>9</td><td>12</td><td>2</td><td>1</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(640.44, 9.0, 12.0, 2.0, 1.0, 1.0))</td><td>36589.74708082149</td></tr><tr><td>610</td><td>1014.03</td><td>8</td><td>11</td><td>3</td><td>2</td><td>2</td><td>36000</td><td>List(1, 6, List(), List(1014.03, 8.0, 11.0, 3.0, 2.0, 2.0))</td><td>50838.6140584154</td></tr><tr><td>611</td><td>1067.4</td><td>6</td><td>14</td><td>3</td><td>2</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(1067.4, 6.0, 14.0, 3.0, 2.0, 1.0))</td><td>45233.64807710082</td></tr><tr><td>612</td><td>711.6</td><td>8</td><td>12</td><td>1</td><td>2</td><td>1</td><td>30000</td><td>List(1, 6, List(), List(711.6, 8.0, 12.0, 1.0, 2.0, 1.0))</td><td>40502.756322699846</td></tr><tr><td>613</td><td>996.24</td><td>4</td><td>5</td><td>3</td><td>2</td><td>1</td><td>6100</td><td>List(1, 6, List(), List(996.24, 4.0, 5.0, 3.0, 2.0, 1.0))</td><td>35955.02373919712</td></tr><tr><td>614</td><td>2134.8</td><td>3</td><td>6</td><td>4</td><td>2</td><td>3</td><td>98000</td><td>List(1, 6, List(), List(2134.8, 3.0, 6.0, 4.0, 2.0, 3.0))</td><td>79051.29636014835</td></tr><tr><td>615</td><td>1647.354</td><td>11</td><td>14</td><td>4</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1647.354, 11.0, 14.0, 4.0, 2.0, 2.0))</td><td>67062.49825718024</td></tr><tr><td>616</td><td>1138.56</td><td>3</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td><td>List(1, 6, List(), List(1138.56, 3.0, 12.0, 3.0, 2.0, 2.0))</td><td>50072.609467614624</td></tr><tr><td>617</td><td>889.5</td><td>5</td><td>9</td><td>1</td><td>1</td><td>1</td><td>43000</td><td>List(1, 6, List(), List(889.5, 5.0, 9.0, 1.0, 1.0, 1.0))</td><td>36221.03172251977</td></tr><tr><td>618</td><td>711.6</td><td>8</td><td>14</td><td>1</td><td>1</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(711.6, 8.0, 14.0, 1.0, 1.0, 1.0))</td><td>34713.20925614617</td></tr><tr><td>619</td><td>1857.276</td><td>2</td><td>14</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1857.276, 2.0, 14.0, 3.0, 2.0, 2.0))</td><td>76375.54238512879</td></tr><tr><td>620</td><td>1102.98</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1102.98, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>49631.81443655872</td></tr><tr><td>621</td><td>925.08</td><td>2</td><td>4</td><td>2</td><td>1</td><td>1</td><td>32000</td><td>List(1, 6, List(), List(925.08, 2.0, 4.0, 2.0, 1.0, 1.0))</td><td>33814.10270584192</td></tr><tr><td>622</td><td>2312.7</td><td>11</td><td>14</td><td>3</td><td>2</td><td>2</td><td>99999</td><td>List(1, 6, List(), List(2312.7, 11.0, 14.0, 3.0, 2.0, 2.0))</td><td>80538.13827666028</td></tr><tr><td>623</td><td>925.08</td><td>4</td><td>9</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(925.08, 4.0, 9.0, 3.0, 2.0, 2.0))</td><td>49631.81443655872</td></tr><tr><td>624</td><td>711.6</td><td>1</td><td>1</td><td>3</td><td>1</td><td>1</td><td>12000</td><td>List(1, 6, List(), List(711.6, 1.0, 1.0, 3.0, 1.0, 1.0))</td><td>32893.11602468563</td></tr><tr><td>625</td><td>4198.44</td><td>15</td><td>19</td><td>7</td><td>3</td><td>4</td><td>180000</td><td>List(1, 6, List(), List(4198.44, 15.0, 19.0, 7.0, 3.0, 4.0))</td><td>159032.2879718955</td></tr><tr><td>626</td><td>3095.46</td><td>1</td><td>6</td><td>4</td><td>2</td><td>3</td><td>100000</td><td>List(1, 6, List(), List(3095.46, 1.0, 6.0, 4.0, 2.0, 3.0))</td><td>118567.7832928065</td></tr><tr><td>627</td><td>2590.224</td><td>5</td><td>15</td><td>3</td><td>2</td><td>3</td><td>110000</td><td>List(1, 6, List(), List(2590.224, 5.0, 15.0, 3.0, 2.0, 3.0))</td><td>113790.29917224488</td></tr><tr><td>628</td><td>1885.74</td><td>8</td><td>13</td><td>3</td><td>2</td><td>2</td><td>120000</td><td>List(1, 6, List(), List(1885.74, 8.0, 13.0, 3.0, 2.0, 2.0))</td><td>77216.87639675669</td></tr><tr><td>629</td><td>1245.3</td><td>1</td><td>14</td><td>3</td><td>2</td><td>2</td><td>55000</td><td>List(1, 6, List(), List(1245.3, 1.0, 14.0, 3.0, 2.0, 2.0))</td><td>51117.25722961598</td></tr><tr><td>630</td><td>1174.14</td><td>10</td><td>12</td><td>3</td><td>2</td><td>2</td><td>41000</td><td>List(1, 6, List(), List(1174.14, 10.0, 12.0, 3.0, 2.0, 2.0))</td><td>52636.68408947131</td></tr><tr><td>631</td><td>1458.78</td><td>6</td><td>7</td><td>2</td><td>2</td><td>2</td><td>75000</td><td>List(1, 6, List(), List(1458.78, 6.0, 7.0, 2.0, 2.0, 2.0))</td><td>51052.698302779456</td></tr><tr><td>632</td><td>1305.786</td><td>9</td><td>12</td><td>3</td><td>2</td><td>2</td><td>42000</td><td>List(1, 6, List(), List(1305.786, 9.0, 12.0, 3.0, 2.0, 2.0))</td><td>51279.4090894713</td></tr><tr><td>633</td><td>1316.46</td><td>12</td><td>12</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1316.46, 12.0, 12.0, 3.0, 2.0, 2.0))</td><td>55870.906256958995</td></tr><tr><td>634</td><td>1167.024</td><td>2</td><td>12</td><td>3</td><td>2</td><td>2</td><td>38000</td><td>List(1, 6, List(), List(1167.024, 2.0, 12.0, 3.0, 2.0, 2.0))</td><td>50072.609467614624</td></tr><tr><td>635</td><td>996.24</td><td>3</td><td>5</td><td>3</td><td>1</td><td>1</td><td>28000</td><td>List(1, 6, List(), List(996.24, 3.0, 5.0, 3.0, 1.0, 1.0))</td><td>34538.764274469366</td></tr><tr><td>636</td><td>1099.422</td><td>2</td><td>7</td><td>4</td><td>2</td><td>2</td><td>57777</td><td>List(1, 6, List(), List(1099.422, 2.0, 7.0, 4.0, 2.0, 2.0))</td><td>56478.92448956349</td></tr><tr><td>637</td><td>2042.292</td><td>6</td><td>18</td><td>2</td><td>2</td><td>2</td><td>82000</td><td>List(1, 6, List(), List(2042.292, 6.0, 18.0, 2.0, 2.0, 2.0))</td><td>75373.90905179545</td></tr><tr><td>638</td><td>843.246</td><td>2</td><td>18</td><td>1</td><td>1</td><td>1</td><td>53000</td><td>List(1, 6, List(), List(843.246, 2.0, 18.0, 1.0, 1.0, 1.0))</td><td>40283.83133267153</td></tr><tr><td>639</td><td>1889.298</td><td>18</td><td>21</td><td>3</td><td>2</td><td>2</td><td>70000</td><td>List(1, 6, List(), List(1889.298, 18.0, 21.0, 3.0, 2.0, 2.0))</td><td>73882.75017693322</td></tr><tr><td>640</td><td>1266.648</td><td>6</td><td>7</td><td>3</td><td>2</td><td>2</td><td>40000</td><td>List(1, 6, List(), List(1266.648, 6.0, 7.0, 3.0, 2.0, 2.0))</td><td>50072.609467614624</td></tr><tr><td>641</td><td>1707.84</td><td>9</td><td>9</td><td>4</td><td>2</td><td>2</td><td>60000</td><td>List(1, 6, List(), List(1707.84, 9.0, 9.0, 4.0, 2.0, 2.0))</td><td>63869.233720599324</td></tr><tr><td>642</td><td>1707.84</td><td>9</td><td>15</td><td>3</td><td>2</td><td>2</td><td>80000</td><td>List(1, 6, List(), List(1707.84, 9.0, 15.0, 3.0, 2.0, 2.0))</td><td>67966.98488481581</td></tr><tr><td>643</td><td>2846.4</td><td>5</td><td>12</td><td>4</td><td>2</td><td>2</td><td>138888</td><td>List(1, 6, List(), List(2846.4, 5.0, 12.0, 4.0, 2.0, 2.0))</td><td>111556.22996228817</td></tr><tr><td>644</td><td>1359.156</td><td>7</td><td>15</td><td>3</td><td>2</td><td>2</td><td>45000</td><td>List(1, 6, List(), List(1359.156, 7.0, 15.0, 3.0, 2.0, 2.0))</td><td>52933.58799432979</td></tr><tr><td>645</td><td>377.148</td><td>4</td><td>10</td><td>1</td><td>1</td><td>1</td><td>24800</td><td>List(1, 6, List(), List(377.148, 4.0, 10.0, 1.0, 1.0, 1.0))</td><td>32345.47378029946</td></tr><tr><td>646</td><td>740.064</td><td>13</td><td>14</td><td>1</td><td>1</td><td>1</td><td>45000</td><td>List(1, 6, List(), List(740.064, 13.0, 14.0, 1.0, 1.0, 1.0))</td><td>36471.61546377851</td></tr><tr><td>647</td><td>1707.84</td><td>3</td><td>14</td><td>3</td><td>2</td><td>2</td><td>65000</td><td>List(1, 6, List(), List(1707.84, 3.0, 14.0, 3.0, 2.0, 2.0))</td><td>68820.44831074175</td></tr><tr><td>648</td><td>1376.946</td><td>6</td><td>7</td><td>3</td><td>2</td><td>1</td><td>36000</td><td>List(1, 6, List(), List(1376.946, 6.0, 7.0, 3.0, 2.0, 1.0))</td><td>46161.57151291862</td></tr></tbody></table></div>"]}}],"execution_count":83},{"cell_type":"code","source":[""],"metadata":{},"outputs":[],"execution_count":84}],"metadata":{"name":"8. Regression Models in PySpark","notebookId":710406800999728},"nbformat":4,"nbformat_minor":0}