Update Mission188Solution.ipynb

Mission188Solution.ipynb

@@ -481,7 +481,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -526,7 +526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 11,
    "metadata": {
     "scrolled": true
    },
@@ -536,9 +536,131 @@
      "output_type": "stream",
      "text": [
       "LogisticRegression\n",
-      "------------------\n",
-      "Best Score: 0.8204619225967541\n",
-      "Best Parameters: {'solver': 'newton-cg'}\n",
+      "------------------\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/dataquest/system/env/python3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning:\n",
+      "\n",
+      "lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "\n",
+      "/dataquest/system/env/python3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning:\n",
+      "\n",
+      "lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "\n",
+      "/dataquest/system/env/python3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning:\n",
+      "\n",
+      "lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "\n",
+      "/dataquest/system/env/python3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning:\n",
+      "\n",
+      "lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "\n",
+      "/dataquest/system/env/python3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning:\n",
+      "\n",
+      "lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "\n",
+      "/dataquest/system/env/python3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning:\n",
+      "\n",
+      "lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "\n",
+      "/dataquest/system/env/python3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning:\n",
+      "\n",
+      "lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "\n",
+      "/dataquest/system/env/python3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning:\n",
+      "\n",
+      "lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "\n",
+      "/dataquest/system/env/python3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning:\n",
+      "\n",
+      "lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "\n",
+      "/dataquest/system/env/python3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning:\n",
+      "\n",
+      "lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "\n",
+      "/dataquest/system/env/python3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning:\n",
+      "\n",
+      "lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best Score: 0.8204744069912608\n",
+      "Best Parameters: {'solver': 'lbfgs'}\n",
       "\n",
       "KNeighborsClassifier\n",
       "--------------------\n",
@@ -568,7 +690,7 @@
     "    models = [\n",
     "        {\n",
     "            \"name\": \"LogisticRegression\",\n",
-    "            \"estimator\": LogisticRegression(max_iter=1000),\n",
+    "            \"estimator\": LogisticRegression(),\n",
     "            \"hyperparameters\":\n",
     "                {\n",
     "                    \"solver\": [\"newton-cg\", \"lbfgs\", \"liblinear\"]\n",