Logistic Regression Practical Implementation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "56023cc3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0c0fd60a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=sns.load_dataset('iris')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c63861a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['setosa', 'versicolor', 'virginica'], dtype=object)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['species'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6eb9f971",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sepal_length    0\n",
       "sepal_width     0\n",
       "petal_length    0\n",
       "petal_width     0\n",
       "species         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6ee820e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df[df['species']!='setosa']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a10cd846",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>7.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>6.5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal_length  sepal_width  petal_length  petal_width     species\n",
       "50           7.0          3.2           4.7          1.4  versicolor\n",
       "51           6.4          3.2           4.5          1.5  versicolor\n",
       "52           6.9          3.1           4.9          1.5  versicolor\n",
       "53           5.5          2.3           4.0          1.3  versicolor\n",
       "54           6.5          2.8           4.6          1.5  versicolor"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fbe344e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['species']=df['species'].map({'versicolor':0,'virginica':1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c6c2cf7b",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>7.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>6.5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal_length  sepal_width  petal_length  petal_width  species\n",
       "50           7.0          3.2           4.7          1.4        0\n",
       "51           6.4          3.2           4.5          1.5        0\n",
       "52           6.9          3.1           4.9          1.5        0\n",
       "53           5.5          2.3           4.0          1.3        0\n",
       "54           6.5          2.8           4.6          1.5        0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a51d55eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Split dataset into independent and dependent features\n",
    "X=df.iloc[:,:-1]\n",
    "y=df.iloc[:,-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "981ec818",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>7.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>6.5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width\n",
       "50            7.0          3.2           4.7          1.4\n",
       "51            6.4          3.2           4.5          1.5\n",
       "52            6.9          3.1           4.9          1.5\n",
       "53            5.5          2.3           4.0          1.3\n",
       "54            6.5          2.8           4.6          1.5\n",
       "..            ...          ...           ...          ...\n",
       "145           6.7          3.0           5.2          2.3\n",
       "146           6.3          2.5           5.0          1.9\n",
       "147           6.5          3.0           5.2          2.0\n",
       "148           6.2          3.4           5.4          2.3\n",
       "149           5.9          3.0           5.1          1.8\n",
       "\n",
       "[100 rows x 4 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4ddca53f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50     0\n",
       "51     0\n",
       "52     0\n",
       "53     0\n",
       "54     0\n",
       "      ..\n",
       "145    1\n",
       "146    1\n",
       "147    1\n",
       "148    1\n",
       "149    1\n",
       "Name: species, Length: 100, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0ccf2857",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X, y, test_size=0.25, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "27b4a1ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "classifier=LogisticRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5e8a222c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "parameter={'penalty':['l1','l2','elasticnet'],'C':[1,2,3,4,5,6,10,20,30,40,50],'max_iter':[100,200,300]}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "6f9e2366",
   "metadata": {},
   "outputs": [],
   "source": [
    "classifier_regressor=GridSearchCV(classifier,param_grid=parameter,scoring='accuracy',cv=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9bc10aba",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _check_solver\n",
      "    raise ValueError(\"Solver %s supports only 'l2' or 'none' penalties, \"\n",
      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "C:\\Users\\win10\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_search.py:922: UserWarning: One or more of the test scores are non-finite: [       nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan        nan 0.97333333        nan\n",
      "        nan 0.97333333        nan]\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, estimator=LogisticRegression(),\n",
       "             param_grid={'C': [1, 2, 3, 4, 5, 6, 10, 20, 30, 40, 50],\n",
       "                         'max_iter': [100, 200, 300],\n",
       "                         'penalty': ['l1', 'l2', 'elasticnet']},\n",
       "             scoring='accuracy')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classifier_regressor.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "16280409",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'C': 1, 'max_iter': 100, 'penalty': 'l2'}\n"
     ]
    }
   ],
   "source": [
    "print(classifier_regressor.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9b580dc5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9733333333333334\n"
     ]
    }
   ],
   "source": [
    "print(classifier_regressor.best_score_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a6da7503",
   "metadata": {},
   "outputs": [],
   "source": [
    "##prediction\n",
    "y_pred=classifier_regressor.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "04232865",
   "metadata": {},
   "outputs": [],
   "source": [
    "## accuracy score\n",
    "from sklearn.metrics import accuracy_score,classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "3181c265",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.92\n"
     ]
    }
   ],
   "source": [
    "score=accuracy_score(y_pred,y_test)\n",
    "print(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "18f31997",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.93      0.93      0.93        14\n",
      "           1       0.91      0.91      0.91        11\n",
      "\n",
      "    accuracy                           0.92        25\n",
      "   macro avg       0.92      0.92      0.92        25\n",
      "weighted avg       0.92      0.92      0.92        25\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_pred,y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "8c1efabb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1c857526d30>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 765.375x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##EDA\n",
    "sns.pairplot(df,hue='species')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "328cf736",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>sepal_length</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.553855</td>\n",
       "      <td>0.828479</td>\n",
       "      <td>0.593709</td>\n",
       "      <td>0.494305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sepal_width</th>\n",
       "      <td>0.553855</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.519802</td>\n",
       "      <td>0.566203</td>\n",
       "      <td>0.308080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>petal_length</th>\n",
       "      <td>0.828479</td>\n",
       "      <td>0.519802</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.823348</td>\n",
       "      <td>0.786424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>petal_width</th>\n",
       "      <td>0.593709</td>\n",
       "      <td>0.566203</td>\n",
       "      <td>0.823348</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.828129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>species</th>\n",
       "      <td>0.494305</td>\n",
       "      <td>0.308080</td>\n",
       "      <td>0.786424</td>\n",
       "      <td>0.828129</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              sepal_length  sepal_width  petal_length  petal_width   species\n",
       "sepal_length      1.000000     0.553855      0.828479     0.593709  0.494305\n",
       "sepal_width       0.553855     1.000000      0.519802     0.566203  0.308080\n",
       "petal_length      0.828479     0.519802      1.000000     0.823348  0.786424\n",
       "petal_width       0.593709     0.566203      0.823348     1.000000  0.828129\n",
       "species           0.494305     0.308080      0.786424     0.828129  1.000000"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f7d2431",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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