NearEarthObjects.ipynb

{
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   "execution_count": 1,
   "metadata": {
    "id": "urF3XCg1jP-b"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "u__nFvqkj0SU"
   },
   "source": [
    "### Near Earth Objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "RguEg5NyjVbr"
   },
   "outputs": [],
   "source": [
    "raw_df = pd.read_csv('neo.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "fsNtY0wHj-rk",
    "outputId": "4dee3d54-6bb7-4c97-c097-af62647bea96"
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   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>est_diameter_min</th>\n",
       "      <th>est_diameter_max</th>\n",
       "      <th>relative_velocity</th>\n",
       "      <th>miss_distance</th>\n",
       "      <th>orbiting_body</th>\n",
       "      <th>sentry_object</th>\n",
       "      <th>absolute_magnitude</th>\n",
       "      <th>hazardous</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2162635</td>\n",
       "      <td>162635 (2000 SS164)</td>\n",
       "      <td>1.198271</td>\n",
       "      <td>2.679415</td>\n",
       "      <td>13569.249224</td>\n",
       "      <td>5.483974e+07</td>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>16.73</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2277475</td>\n",
       "      <td>277475 (2005 WK4)</td>\n",
       "      <td>0.265800</td>\n",
       "      <td>0.594347</td>\n",
       "      <td>73588.726663</td>\n",
       "      <td>6.143813e+07</td>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>20.00</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2512244</td>\n",
       "      <td>512244 (2015 YE18)</td>\n",
       "      <td>0.722030</td>\n",
       "      <td>1.614507</td>\n",
       "      <td>114258.692129</td>\n",
       "      <td>4.979872e+07</td>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>17.83</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3596030</td>\n",
       "      <td>(2012 BV13)</td>\n",
       "      <td>0.096506</td>\n",
       "      <td>0.215794</td>\n",
       "      <td>24764.303138</td>\n",
       "      <td>2.543497e+07</td>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>22.20</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3667127</td>\n",
       "      <td>(2014 GE35)</td>\n",
       "      <td>0.255009</td>\n",
       "      <td>0.570217</td>\n",
       "      <td>42737.733765</td>\n",
       "      <td>4.627557e+07</td>\n",
       "      <td>Earth</td>\n",
       "      <td>False</td>\n",
       "      <td>20.09</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "        id                 name  est_diameter_min  est_diameter_max  \\\n",
       "0  2162635  162635 (2000 SS164)          1.198271          2.679415   \n",
       "1  2277475    277475 (2005 WK4)          0.265800          0.594347   \n",
       "2  2512244   512244 (2015 YE18)          0.722030          1.614507   \n",
       "3  3596030          (2012 BV13)          0.096506          0.215794   \n",
       "4  3667127          (2014 GE35)          0.255009          0.570217   \n",
       "\n",
       "   relative_velocity  miss_distance orbiting_body  sentry_object  \\\n",
       "0       13569.249224   5.483974e+07         Earth          False   \n",
       "1       73588.726663   6.143813e+07         Earth          False   \n",
       "2      114258.692129   4.979872e+07         Earth          False   \n",
       "3       24764.303138   2.543497e+07         Earth          False   \n",
       "4       42737.733765   4.627557e+07         Earth          False   \n",
       "\n",
       "   absolute_magnitude  hazardous  \n",
       "0               16.73      False  \n",
       "1               20.00       True  \n",
       "2               17.83      False  \n",
       "3               22.20      False  \n",
       "4               20.09       True  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "7veMB76WkDoQ"
   },
   "outputs": [],
   "source": [
    "raw_df.drop(['id', 'name', 'orbiting_body', 'sentry_object'], inplace=True, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
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    "id": "I-jsJaT8kV4Z",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>est_diameter_min</th>\n",
       "      <th>est_diameter_max</th>\n",
       "      <th>relative_velocity</th>\n",
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       "      <td>4.627557e+07</td>\n",
       "      <td>20.09</td>\n",
       "      <td>True</td>\n",
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      "text/plain": [
       "   est_diameter_min  est_diameter_max  relative_velocity  miss_distance  \\\n",
       "0          1.198271          2.679415       13569.249224   5.483974e+07   \n",
       "1          0.265800          0.594347       73588.726663   6.143813e+07   \n",
       "2          0.722030          1.614507      114258.692129   4.979872e+07   \n",
       "3          0.096506          0.215794       24764.303138   2.543497e+07   \n",
       "4          0.255009          0.570217       42737.733765   4.627557e+07   \n",
       "\n",
       "   absolute_magnitude  hazardous  \n",
       "0               16.73      False  \n",
       "1               20.00       True  \n",
       "2               17.83      False  \n",
       "3               22.20      False  \n",
       "4               20.09       True  "
      ]
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    "raw_df.head()"
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  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "-1TJyZvHkj5L"
   },
   "outputs": [],
   "source": [
    "raw_df['hazardous'] = raw_df['hazardous'].map({False:0, True:1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
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     "height": 206
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    "id": "pVbzU4zxlDBw",
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       "      <td>1</td>\n",
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      ],
      "text/plain": [
       "   est_diameter_min  est_diameter_max  relative_velocity  miss_distance  \\\n",
       "0          1.198271          2.679415       13569.249224   5.483974e+07   \n",
       "1          0.265800          0.594347       73588.726663   6.143813e+07   \n",
       "2          0.722030          1.614507      114258.692129   4.979872e+07   \n",
       "3          0.096506          0.215794       24764.303138   2.543497e+07   \n",
       "4          0.255009          0.570217       42737.733765   4.627557e+07   \n",
       "\n",
       "   absolute_magnitude  hazardous  \n",
       "0               16.73          0  \n",
       "1               20.00          1  \n",
       "2               17.83          0  \n",
       "3               22.20          0  \n",
       "4               20.09          1  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 237
    },
    "id": "HBESDeOilHu0",
    "outputId": "881593b0-f8ab-49fc-cbd9-49ab9628f912"
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   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>est_diameter_min</th>\n",
       "      <th>est_diameter_max</th>\n",
       "      <th>relative_velocity</th>\n",
       "      <th>miss_distance</th>\n",
       "      <th>absolute_magnitude</th>\n",
       "      <th>hazardous</th>\n",
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       "    <tr>\n",
       "      <th>est_diameter_min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <th>est_diameter_max</th>\n",
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       "      <td>0.142241</td>\n",
       "      <td>-0.560188</td>\n",
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       "      <th>relative_velocity</th>\n",
       "      <td>0.221553</td>\n",
       "      <td>0.221553</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.327169</td>\n",
       "      <td>-0.353863</td>\n",
       "      <td>0.191185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miss_distance</th>\n",
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       "      <td>0.142241</td>\n",
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       "      <td>-0.264168</td>\n",
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       "    <tr>\n",
       "      <th>absolute_magnitude</th>\n",
       "      <td>-0.560188</td>\n",
       "      <td>-0.560188</td>\n",
       "      <td>-0.353863</td>\n",
       "      <td>-0.264168</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.365267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hazardous</th>\n",
       "      <td>0.183363</td>\n",
       "      <td>0.183363</td>\n",
       "      <td>0.191185</td>\n",
       "      <td>0.042302</td>\n",
       "      <td>-0.365267</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "                    est_diameter_min  est_diameter_max  relative_velocity  \\\n",
       "est_diameter_min            1.000000          1.000000           0.221553   \n",
       "est_diameter_max            1.000000          1.000000           0.221553   \n",
       "relative_velocity           0.221553          0.221553           1.000000   \n",
       "miss_distance               0.142241          0.142241           0.327169   \n",
       "absolute_magnitude         -0.560188         -0.560188          -0.353863   \n",
       "hazardous                   0.183363          0.183363           0.191185   \n",
       "\n",
       "                    miss_distance  absolute_magnitude  hazardous  \n",
       "est_diameter_min         0.142241           -0.560188   0.183363  \n",
       "est_diameter_max         0.142241           -0.560188   0.183363  \n",
       "relative_velocity        0.327169           -0.353863   0.191185  \n",
       "miss_distance            1.000000           -0.264168   0.042302  \n",
       "absolute_magnitude      -0.264168            1.000000  -0.365267  \n",
       "hazardous                0.042302           -0.365267   1.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "eHeKUZb2lUYc",
    "outputId": "c9b660c4-9eab-44ae-e806-b9c2be095017"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "est_diameter_min      0\n",
       "est_diameter_max      0\n",
       "relative_velocity     0\n",
       "miss_distance         0\n",
       "absolute_magnitude    0\n",
       "hazardous             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "w_fp4Y_Ql1tn"
   },
   "outputs": [],
   "source": [
    "raw_df.drop(['absolute_magnitude'], axis=1, inplace= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
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    "id": "ZDShUH8Yl_Kv",
    "outputId": "0852e274-7b6a-44e2-e276-78bb7069d788"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>est_diameter_min</th>\n",
       "      <th>est_diameter_max</th>\n",
       "      <th>relative_velocity</th>\n",
       "      <th>miss_distance</th>\n",
       "      <th>hazardous</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.198271</td>\n",
       "      <td>2.679415</td>\n",
       "      <td>13569.249224</td>\n",
       "      <td>5.483974e+07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.265800</td>\n",
       "      <td>0.594347</td>\n",
       "      <td>73588.726663</td>\n",
       "      <td>6.143813e+07</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.722030</td>\n",
       "      <td>1.614507</td>\n",
       "      <td>114258.692129</td>\n",
       "      <td>4.979872e+07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.096506</td>\n",
       "      <td>0.215794</td>\n",
       "      <td>24764.303138</td>\n",
       "      <td>2.543497e+07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.255009</td>\n",
       "      <td>0.570217</td>\n",
       "      <td>42737.733765</td>\n",
       "      <td>4.627557e+07</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   est_diameter_min  est_diameter_max  relative_velocity  miss_distance  \\\n",
       "0          1.198271          2.679415       13569.249224   5.483974e+07   \n",
       "1          0.265800          0.594347       73588.726663   6.143813e+07   \n",
       "2          0.722030          1.614507      114258.692129   4.979872e+07   \n",
       "3          0.096506          0.215794       24764.303138   2.543497e+07   \n",
       "4          0.255009          0.570217       42737.733765   4.627557e+07   \n",
       "\n",
       "   hazardous  \n",
       "0          0  \n",
       "1          1  \n",
       "2          0  \n",
       "3          0  \n",
       "4          1  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "8Cu9_3Pzqf7f",
    "outputId": "60f04e65-83ab-4980-bb9f-7c25d077892a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        5.483974e+07\n",
       "1        6.143813e+07\n",
       "2        4.979872e+07\n",
       "3        2.543497e+07\n",
       "4        4.627557e+07\n",
       "             ...     \n",
       "90831    1.230039e+07\n",
       "90832    5.432121e+07\n",
       "90833    2.840077e+07\n",
       "90834    6.869206e+07\n",
       "90835    5.977213e+07\n",
       "Name: miss_distance, Length: 90836, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df['miss_distance']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "Lns15e45mBHO",
    "outputId": "83c8f749-cd68-4f36-90fd-e989eb1d2eaf"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
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       "        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>est_diameter_min</th>\n",
       "      <th>est_diameter_max</th>\n",
       "      <th>relative_velocity</th>\n",
       "      <th>miss_distance</th>\n",
       "      <th>hazardous</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>est_diameter_min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.221553</td>\n",
       "      <td>0.142241</td>\n",
       "      <td>0.183363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>est_diameter_max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.221553</td>\n",
       "      <td>0.142241</td>\n",
       "      <td>0.183363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>relative_velocity</th>\n",
       "      <td>0.221553</td>\n",
       "      <td>0.221553</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.327169</td>\n",
       "      <td>0.191185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miss_distance</th>\n",
       "      <td>0.142241</td>\n",
       "      <td>0.142241</td>\n",
       "      <td>0.327169</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.042302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hazardous</th>\n",
       "      <td>0.183363</td>\n",
       "      <td>0.183363</td>\n",
       "      <td>0.191185</td>\n",
       "      <td>0.042302</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   est_diameter_min  est_diameter_max  relative_velocity  \\\n",
       "est_diameter_min           1.000000          1.000000           0.221553   \n",
       "est_diameter_max           1.000000          1.000000           0.221553   \n",
       "relative_velocity          0.221553          0.221553           1.000000   \n",
       "miss_distance              0.142241          0.142241           0.327169   \n",
       "hazardous                  0.183363          0.183363           0.191185   \n",
       "\n",
       "                   miss_distance  hazardous  \n",
       "est_diameter_min        0.142241   0.183363  \n",
       "est_diameter_max        0.142241   0.183363  \n",
       "relative_velocity       0.327169   0.191185  \n",
       "miss_distance           1.000000   0.042302  \n",
       "hazardous               0.042302   1.000000  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 375
    },
    "id": "n_Vk0L4O2ykM",
    "outputId": "9f5b9c7a-c338-4a58-c703-a89404cdd218"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(raw_df.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "fWrhI9qXmDFz"
   },
   "outputs": [],
   "source": [
    "X = raw_df.iloc[:,:-1]\n",
    "Y = raw_df.iloc[:,-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 424
    },
    "id": "Vpiss6aPmRyQ",
    "outputId": "54e6a016-db2a-4082-e2db-6eae0fce0ff4"
   },
   "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>est_diameter_min</th>\n",
       "      <th>est_diameter_max</th>\n",
       "      <th>relative_velocity</th>\n",
       "      <th>miss_distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.198271</td>\n",
       "      <td>2.679415</td>\n",
       "      <td>13569.249224</td>\n",
       "      <td>5.483974e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.265800</td>\n",
       "      <td>0.594347</td>\n",
       "      <td>73588.726663</td>\n",
       "      <td>6.143813e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.722030</td>\n",
       "      <td>1.614507</td>\n",
       "      <td>114258.692129</td>\n",
       "      <td>4.979872e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.096506</td>\n",
       "      <td>0.215794</td>\n",
       "      <td>24764.303138</td>\n",
       "      <td>2.543497e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.255009</td>\n",
       "      <td>0.570217</td>\n",
       "      <td>42737.733765</td>\n",
       "      <td>4.627557e+07</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>90831</th>\n",
       "      <td>0.026580</td>\n",
       "      <td>0.059435</td>\n",
       "      <td>52078.886692</td>\n",
       "      <td>1.230039e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90832</th>\n",
       "      <td>0.016771</td>\n",
       "      <td>0.037501</td>\n",
       "      <td>46114.605073</td>\n",
       "      <td>5.432121e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90833</th>\n",
       "      <td>0.031956</td>\n",
       "      <td>0.071456</td>\n",
       "      <td>7566.807732</td>\n",
       "      <td>2.840077e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90834</th>\n",
       "      <td>0.007321</td>\n",
       "      <td>0.016370</td>\n",
       "      <td>69199.154484</td>\n",
       "      <td>6.869206e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90835</th>\n",
       "      <td>0.039862</td>\n",
       "      <td>0.089133</td>\n",
       "      <td>27024.455553</td>\n",
       "      <td>5.977213e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>90836 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       est_diameter_min  est_diameter_max  relative_velocity  miss_distance\n",
       "0              1.198271          2.679415       13569.249224   5.483974e+07\n",
       "1              0.265800          0.594347       73588.726663   6.143813e+07\n",
       "2              0.722030          1.614507      114258.692129   4.979872e+07\n",
       "3              0.096506          0.215794       24764.303138   2.543497e+07\n",
       "4              0.255009          0.570217       42737.733765   4.627557e+07\n",
       "...                 ...               ...                ...            ...\n",
       "90831          0.026580          0.059435       52078.886692   1.230039e+07\n",
       "90832          0.016771          0.037501       46114.605073   5.432121e+07\n",
       "90833          0.031956          0.071456        7566.807732   2.840077e+07\n",
       "90834          0.007321          0.016370       69199.154484   6.869206e+07\n",
       "90835          0.039862          0.089133       27024.455553   5.977213e+07\n",
       "\n",
       "[90836 rows x 4 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "3X5gIDEVmTlw",
    "outputId": "6fdde82a-8763-41e5-c4eb-40428e7d8dc1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        0\n",
       "1        1\n",
       "2        0\n",
       "3        0\n",
       "4        1\n",
       "        ..\n",
       "90831    0\n",
       "90832    0\n",
       "90833    0\n",
       "90834    0\n",
       "90835    0\n",
       "Name: hazardous, Length: 90836, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "fwuTM2sXmUzg"
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "LPQu_tvPmdUL"
   },
   "outputs": [],
   "source": [
    "x_train, x_test, y_train, y_test = train_test_split(X, Y, test_size = 0.25, random_state= 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "jThQ_HBLmvLT",
    "outputId": "f1ba8ba8-bbc5-401b-bdab-7341d478d55a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(68127, 4)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "id": "Yhildijcmxp2"
   },
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "id": "it8AXqENnALD"
   },
   "outputs": [],
   "source": [
    "model = LogisticRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "id": "Mbs6m_u9nKET"
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import GridSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "f15ROYYjnU7P"
   },
   "outputs": [],
   "source": [
    "parameters = {'penalty':['l1', 'l2', 'elasticnet'], 'C':[1,2,3,4,5,8,10,20,30,40,50], 'max_iter':[100,200,300],}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "id": "ITUQMvCdpIQG"
   },
   "outputs": [],
   "source": [
    "model_new = GridSearchCV(model, param_grid = parameters, scoring = 'accuracy', cv = 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "dQ0TIntppV_o"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 598, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1306, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 443, in _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\\user\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_search.py:922: UserWarning: One or more of the test scores are non-finite: [       nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan        nan 0.90260836        nan\n",
      "        nan 0.90260836        nan]\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, estimator=LogisticRegression(),\n",
       "             param_grid={'C': [1, 2, 3, 4, 5, 8, 10, 20, 30, 40, 50],\n",
       "                         'max_iter': [100, 200, 300],\n",
       "                         'penalty': ['l1', 'l2', 'elasticnet']},\n",
       "             scoring='accuracy')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_new.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "id": "mPRjx3uqq-FI"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'C': 1, 'max_iter': 100, 'penalty': 'l2'}"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_new.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "id": "Vc7rKbo6sRxu"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.902608363665254"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_new.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "id": "RdpkW9TYsWWd"
   },
   "outputs": [],
   "source": [
    "y_pred = model_new.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, ..., 0, 0, 0], dtype=int64)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score, classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "score = accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "90.2901933154256"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score *= 100\n",
    "score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\metrics\\_classification.py:1248: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\metrics\\_classification.py:1248: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "C:\\Users\\user\\anaconda3\\lib\\site-packages\\sklearn\\metrics\\_classification.py:1248: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    }
   ],
   "source": [
    "report = classification_report(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'              precision    recall  f1-score   support\\n\\n           0       0.90      1.00      0.95     20504\\n           1       0.00      0.00      0.00      2205\\n\\n    accuracy                           0.90     22709\\n   macro avg       0.45      0.50      0.47     22709\\nweighted avg       0.82      0.90      0.86     22709\\n'"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix, accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "accuracy = accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.902901933154256"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[20504,     0],\n",
       "       [ 2205,     0]], dtype=int64)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cm = confusion_matrix(y_test, y_pred)\n",
    "cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred_train = model_new.predict(x_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "accuracy_train = accuracy_score(y_train, y_pred_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9026083637911547"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "cm = confusion_matrix(y_train, y_pred_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[61492,     0],\n",
       "       [ 6635,     0]], dtype=int64)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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jktwxYd9rz6h96f+dWqqbJK24s9TMrUcX8pS/f7/UjqraV1Xvr6r3b7r87RfwE5K0PMt5CUKPJk6PJHl8qV28/rYGSdowFqrPCnpW0+a0NzN6v9mL58UD/OmqjEiSLsCwU/b0pP1l4Cer6rvn70jyJ6sxIEm6EG/qJX9VdeeEfb+28sORpAsz9NUjLvmTNCjzJm1J6oeVtiR1pNelfLMyaUsalHqTL/mTpK68qVePSFJver09fVYmbUmDYqUtSR1xTluSOuLqEUnqyNDXaV/Io1klacNZoGZu0yR5IMmpJN8bi12V5HCS4+3zyhZPknuTzCV5PMl1Y8fsaf2PJ9kzFr8+yRPtmHuTZNqYTNqSBuVsLczcZvAgsOu82N3AkaraBhxp3wFuBra1the4D0ZJHrgHuAHYAdxzLtG3Ph8dO+783/obTNqSBqWW8b+p56r6BnD6vPBuYH/b3g/cOhY/UCNHgU1Jrmb0eOvDVXW6ql4EDgO72r4rqupoja6eHhg715Kc05Y0KMt5CUKSvYyq4nP2VdW+KYdtrqrn2vbzvP5CmC3As2P9TrTYpPiJReITmbQlDcpyLkO2BD0tSU86vpKs6ZVPp0ckDcpKXohcwgttaoP2ee7t5SeBa8b6bW2xSfGti8QnMmlLGpQ1SNoHgXMrQPYAj47Fb2+rSHYCL7dplEPATUmubBcgbwIOtX2vJNnZVo3cPnauJTk9ImlQZlwVMpMkXwQ+APxUkhOMVoF8Bng4yZ3A94EPt+5fAW4B5oAfAXcAVNXpJJ8GjrV+n6qqcxc3P8ZohcrlwFdbmzym1b7l82fevmPYK931hhx/aeq/AvUmNH/m5NR1ytP8w3f80sw559j//MYF/95as9KWNCg+e0SSOuJT/iSpI1baktSRswN/zp9JW9KgLOeOyB6ZtCUNytAfzWrSljQoVtqS1BErbUnqiJW2JHVkJW9j34hM2pIGxekRSepIWWlLUj+8jV2SOuJt7JLUESttSerI2QXntCWpG64ekaSOOKctSR1xTluSOmKlLUkd8UKkJHXE6RFJ6ojTI5LUER/NKkkdcZ22JHXESluSOrIw8EezXrTeA5CklVRVM7dpkuxK8pdJ5pLcvQbDn8pKW9KgrNTqkSQXA58Hfhk4ARxLcrCqnlqRH3iDrLQlDUoto02xA5irqmeq6gzwELB7VQa9DKteaT996ltZ7d/oRZK9VbVvvcehjcW/Fytr/szJmXNOkr3A3rHQvrH/L7YAz47tOwHccOEjvDBW2mtr7/QuehPy78U6qap9VfX+sbbh/+Np0pakxZ0Erhn7vrXF1pVJW5IWdwzYluTaJJcCtwEH13lMrh5ZYxv+n15aF/692ICqaj7Jx4FDwMXAA1X15DoPiwz94SqSNCROj0hSR0zaktQRk/Ya2Yi3w2p9JXkgyakk31vvsagfJu01MHY77M3AduAjSbav76i0ATwI7FrvQagvJu21sSFvh9X6qqpvAKfXexzqi0l7bSx2O+yWdRqLpI6ZtCWpIybttbEhb4eV1B+T9trYkLfDSuqPSXsNVNU8cO522KeBhzfC7bBaX0m+CPwZ8NNJTiS5c73HpI3P29glqSNW2pLUEZO2JHXEpC1JHTFpS1JHTNqS1BGTtiR1xKQtSR35/wnMMJYIH0ZRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "Untitled13.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}