Train final nf1 model

1.train_models/classify_genotypes/classify_genotypes.ipynb

@@ -17,10 +17,10 @@
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@@ -106,10 +106,10 @@
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@@ -143,10 +143,10 @@
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-     "shell.execute_reply": "2024-05-21T18:21:03.692603Z"
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@@ -171,10 +171,10 @@
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-     "shell.execute_reply": "2024-05-21T18:21:03.697960Z"
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@@ -275,10 +275,10 @@
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-     "shell.execute_reply": "2024-05-21T18:21:03.701054Z"
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@@ -309,10 +309,10 @@
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-     "shell.execute_reply": "2024-05-21T18:21:04.036371Z"
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@@ -358,10 +358,10 @@
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-     "iopub.status.idle": "2024-05-21T18:21:04.221845Z",
-     "shell.execute_reply": "2024-05-21T18:21:04.221424Z"
+     "iopub.execute_input": "2024-05-23T21:40:07.295568Z",
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@@ -389,10 +389,10 @@
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-     "shell.execute_reply": "2024-05-21T18:21:04.227664Z"
+     "iopub.execute_input": "2024-05-23T21:40:07.488225Z",
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@@ -407,10 +407,10 @@
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-     "shell.execute_reply": "2024-05-21T18:21:04.250939Z"
+     "iopub.execute_input": "2024-05-23T21:40:07.493445Z",
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@@ -451,10 +451,10 @@
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-     "shell.execute_reply": "2024-05-21T18:21:04.255955Z"
+     "iopub.execute_input": "2024-05-23T21:40:07.516835Z",
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@@ -506,10 +506,10 @@
    "execution_count": 12,
    "metadata": {
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-     "iopub.status.idle": "2024-05-22T00:42:42.695942Z",
-     "shell.execute_reply": "2024-05-22T00:42:42.695491Z"
+     "iopub.execute_input": "2024-05-23T21:40:07.521074Z",
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@@ -518,7 +518,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Best average validation accuracy = 0.9040083496041922\n"
+      "Best average validation accuracy = 0.9029186077142679\n"
      ]
     }
    ],
@@ -586,10 +586,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-05-22T00:42:50.301365Z"
+     "iopub.execute_input": "2024-05-24T03:58:41.296367Z",
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@@ -1001,12 +1001,12 @@
        "  /* fitted */\n",
        "  background-color: var(--sklearn-color-fitted-level-3);\n",
        "}\n",
-       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(C=100.75954293416305, max_iter=3000, n_jobs=-1,\n",
-       "                   random_state=0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(C=100.75954293416305, max_iter=3000, n_jobs=-1,\n",
+       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(C=164.38164084165948, max_iter=3000, n_jobs=-1,\n",
+       "                   random_state=0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(C=164.38164084165948, max_iter=3000, n_jobs=-1,\n",
        "                   random_state=0)</pre></div> </div></div></div></div>"
       ],
       "text/plain": [
-       "LogisticRegression(C=100.75954293416305, max_iter=3000, n_jobs=-1,\n",
+       "LogisticRegression(C=164.38164084165948, max_iter=3000, n_jobs=-1,\n",
        "                   random_state=0)"
       ]
      },
@@ -1043,10 +1043,10 @@
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-     "shell.execute_reply": "2024-05-22T00:43:02.818167Z"
+     "iopub.execute_input": "2024-05-24T03:58:49.165161Z",
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+     "shell.execute_reply": "2024-05-24T03:58:56.895450Z"
     },
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    },
@@ -1082,10 +1082,10 @@
    "execution_count": 15,
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-     "iopub.status.idle": "2024-05-22T00:43:02.969411Z",
-     "shell.execute_reply": "2024-05-22T00:43:02.968984Z"
+     "iopub.execute_input": "2024-05-24T03:58:56.898024Z",
+     "iopub.status.busy": "2024-05-24T03:58:56.897874Z",
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+     "shell.execute_reply": "2024-05-24T03:58:57.055525Z"
     },
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@@ -1103,10 +1103,10 @@
    "execution_count": 16,
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-     "iopub.status.idle": "2024-05-22T00:43:36.758999Z",
-     "shell.execute_reply": "2024-05-22T00:43:36.758554Z"
+     "iopub.execute_input": "2024-05-24T03:58:57.058268Z",
+     "iopub.status.busy": "2024-05-24T03:58:57.058118Z",
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+     "shell.execute_reply": "2024-05-24T03:59:32.432136Z"
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