diff --git a/docs/feature-importances-gbc-adj.png b/docs/feature-importances-gbc-adj.png
new file mode 100644
index 0000000..440c05f
Binary files /dev/null and b/docs/feature-importances-gbc-adj.png differ
diff --git a/notebooks/nfl-modeling.ipynb b/notebooks/nfl-modeling.ipynb
index f1b25f8..a7f4900 100644
--- a/notebooks/nfl-modeling.ipynb
+++ b/notebooks/nfl-modeling.ipynb
@@ -3100,7 +3100,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 33,
    "metadata": {
     "collapsed": false
    },
@@ -3171,15 +3171,15 @@
        "(-1, 53)"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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aAAAAnEAUbQAAAGhI0QYAAICGFG0AAABoSNEGAACAhhRtAAAAaEjRBgAAgIYU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\njYGjgENGHtnU7FB1AGVwMzQzMzMzM7MxV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z9CWjT7NMUkafZulLRp9mmaSMPs3Sl4w+zTJJGS1zTj315GOuGato11oPlFIuT/KWUsrz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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x1199adb50>"
+       "<matplotlib.figure.Figure at 0x119fd12d0>"
       ]
      },
      "metadata": {},
@@ -3200,7 +3200,7 @@
     "    \n",
     "# Plot the feature importances of the forest\n",
     "plt.figure(figsize=(12,6))\n",
-    "plt.title(\"RelatFeature importances\")\n",
+    "plt.title(\"Relative Feature Importances\")\n",
     "plt.bar(range(X.shape[1]), importances[indices], align=\"center\")\n",
     "plt.xticks(range(X.shape[1]), feature_names, rotation='vertical')\n",
     "plt.xlim([-1, X.shape[1]])"
@@ -3208,7 +3208,50 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 34,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "team_imp = [\n",
+    "0.005575,\n",
+    "0.005440,\n",
+    "0.004972,\n",
+    "0.004887,\n",
+    "0.004833,\n",
+    "0.004259,\n",
+    "0.003986,\n",
+    "0.003880,\n",
+    "0.003816,\n",
+    "0.003681,\n",
+    "0.003653,\n",
+    "0.003620,\n",
+    "0.003570,\n",
+    "0.003523,\n",
+    "0.003517,\n",
+    "0.003466,\n",
+    "0.003365,\n",
+    "0.003235,\n",
+    "0.003213,\n",
+    "0.003101,\n",
+    "0.003063,\n",
+    "0.002740,\n",
+    "0.002557,\n",
+    "0.002485,\n",
+    "0.002253,\n",
+    "0.002083,\n",
+    "0.002031,\n",
+    "0.001999,\n",
+    "0.001726,\n",
+    "0.001547,\n",
+    "0.001381,\n",
+    "0.001280]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
    "metadata": {
     "collapsed": false
    },
@@ -3216,125 +3259,149 @@
     {
      "data": {
       "text/plain": [
-       "array([[ DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best')],\n",
-       "       [ DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best')],\n",
-       "       [ DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best')],\n",
-       "       ..., \n",
-       "       [ DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best')],\n",
-       "       [ DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best')],\n",
-       "       [ DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best'),\n",
-       "        DecisionTreeRegressor(criterion='friedman_mse', max_depth=3, max_features=1.0,\n",
-       "           max_leaf_nodes=None, min_impurity_split=1e-07,\n",
-       "           min_samples_leaf=20, min_samples_split=2,\n",
-       "           min_weight_fraction_leaf=0.0, presort='auto',\n",
-       "           random_state=<mtrand.RandomState object at 0x116f32960>,\n",
-       "           splitter='best')]], dtype=object)"
+       "0.10473700000000002"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "for tree in gd_best.estimators_:\n",
-    "    print "
+    "sum(team_imp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# The teams all together would rank #5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ISTURF 0.00313229684081\n",
+      "TEMPERATURE 0.0383299323202\n",
+      "SEASONYEAR 0.0218669000412\n",
+      "WINDSPEED 0.0217560634058\n",
+      "HUMIDITY 0.0335026961236\n",
+      "DOWN 0.127642229867\n",
+      "TOGO 0.0864388128914\n",
+      "SECOND 0.0520495140322\n",
+      "FORMATION 0.0697640158834\n",
+      "YARDLINE 0.123445443688\n",
+      "TEAM 0.104740408941\n",
+      "SCORINGMARGIN 0.117721695414\n",
+      "ISATHOME 0.00409307787864\n",
+      "QUARTER 0.0632597970758\n",
+      "UNDERROOF 0.000237768746312\n",
+      "MINUTE 0.132019346851\n"
+     ]
+    }
+   ],
+   "source": [
+    "adj_importances = {}\n",
+    "adj_importances['TEAM'] = 0.0\n",
+    "adj_importances['FORMATION'] = 0.0\n",
+    "\n",
+    "for item in zip(col_names,importances):\n",
+    "    if item[0].startswith('TEAM_'):\n",
+    "        adj_importances['TEAM'] += item[1]\n",
+    "    elif item[0].startswith('FORMATION_'):\n",
+    "        adj_importances['FORMATION'] += item[1]\n",
+    "    else:\n",
+    "        adj_importances[item[0]] = item[1]\n",
+    "        \n",
+    "for k,v in adj_importances.items():\n",
+    "    print k, v\n",
+    "    \n",
+    "col_names_adj = adj_importances.keys()\n",
+    "importances_adj = adj_importances.values()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Feature ranking:\n",
+      "1. feature MINUTE (0.132019)\n",
+      "2. feature DOWN (0.127642)\n",
+      "3. feature YARDLINE (0.123445)\n",
+      "4. feature SCORINGMARGIN (0.117722)\n",
+      "5. feature TEAM (0.104740)\n",
+      "6. feature TOGO (0.086439)\n",
+      "7. feature FORMATION (0.069764)\n",
+      "8. feature QUARTER (0.063260)\n",
+      "9. feature SECOND (0.052050)\n",
+      "10. feature TEMPERATURE (0.038330)\n",
+      "11. feature HUMIDITY (0.033503)\n",
+      "12. feature SEASONYEAR (0.021867)\n",
+      "13. feature WINDSPEED (0.021756)\n",
+      "14. feature ISATHOME (0.004093)\n",
+      "15. feature ISTURF (0.003132)\n",
+      "16. feature UNDERROOF (0.000238)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(-1, 16)"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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TzriAufMX1nbOB+5eztLjYPHiPWo7pyRJUluYkPYxd/5Ctl2wa9NhSJIkbRbsQypJkqRG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\n6mPOw3G76FwAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x117172cd0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "importances = np.asarray(importances_adj)\n",
+    "indices = np.argsort(importances)[::-1]\n",
+    "num_features = len(importances)\n",
+    "\n",
+    "# Print the feature ranking\n",
+    "print(\"Feature ranking:\")\n",
+    "\n",
+    "feature_names = []\n",
+    "for f in range(num_features):\n",
+    "    print(\"%d. feature %s (%f)\" % (f + 1, col_names_adj[indices[f]], importances[indices[f]]))\n",
+    "    feature_names.append(col_names_adj[indices[f]])\n",
+    "    \n",
+    "# Plot the feature importances of the forest\n",
+    "plt.figure(figsize=(8,4))\n",
+    "plt.title(\"Relative Feature Importances\")\n",
+    "plt.bar(range(num_features), importances[indices], align=\"center\")\n",
+    "plt.xticks(range(num_features), feature_names, rotation='vertical')\n",
+    "plt.xlim([-1, num_features])"
    ]
   },
   {