fetal_classification.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FenGfnEOlYOP"
      },
      "source": [
        "Fetal Health Classification"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "TAXvaZK2H2SP"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "from sklearn import preprocessing\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.metrics import mean_squared_error, r2_score, accuracy_score , mean_absolute_error\n",
        "from sklearn.model_selection import train_test_split\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "duqztfkZLbvU",
        "outputId": "6f35dcc0-2ca9-43d9-a26c-1814ae21b076"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "      baseline value  accelerations  fetal_movement  uterine_contractions  \\\n",
            "0              120.0          0.000           0.000                 0.000   \n",
            "1              132.0          0.006           0.000                 0.006   \n",
            "2              133.0          0.003           0.000                 0.008   \n",
            "3              134.0          0.003           0.000                 0.008   \n",
            "4              132.0          0.007           0.000                 0.008   \n",
            "...              ...            ...             ...                   ...   \n",
            "2121           140.0          0.000           0.000                 0.007   \n",
            "2122           140.0          0.001           0.000                 0.007   \n",
            "2123           140.0          0.001           0.000                 0.007   \n",
            "2124           140.0          0.001           0.000                 0.006   \n",
            "2125           142.0          0.002           0.002                 0.008   \n",
            "\n",
            "      light_decelerations  severe_decelerations  prolongued_decelerations  \\\n",
            "0                   0.000                   0.0                       0.0   \n",
            "1                   0.003                   0.0                       0.0   \n",
            "2                   0.003                   0.0                       0.0   \n",
            "3                   0.003                   0.0                       0.0   \n",
            "4                   0.000                   0.0                       0.0   \n",
            "...                   ...                   ...                       ...   \n",
            "2121                0.000                   0.0                       0.0   \n",
            "2122                0.000                   0.0                       0.0   \n",
            "2123                0.000                   0.0                       0.0   \n",
            "2124                0.000                   0.0                       0.0   \n",
            "2125                0.000                   0.0                       0.0   \n",
            "\n",
            "      abnormal_short_term_variability  mean_value_of_short_term_variability  \\\n",
            "0                                73.0                                   0.5   \n",
            "1                                17.0                                   2.1   \n",
            "2                                16.0                                   2.1   \n",
            "3                                16.0                                   2.4   \n",
            "4                                16.0                                   2.4   \n",
            "...                               ...                                   ...   \n",
            "2121                             79.0                                   0.2   \n",
            "2122                             78.0                                   0.4   \n",
            "2123                             79.0                                   0.4   \n",
            "2124                             78.0                                   0.4   \n",
            "2125                             74.0                                   0.4   \n",
            "\n",
            "      percentage_of_time_with_abnormal_long_term_variability  ...  \\\n",
            "0                                                  43.0       ...   \n",
            "1                                                   0.0       ...   \n",
            "2                                                   0.0       ...   \n",
            "3                                                   0.0       ...   \n",
            "4                                                   0.0       ...   \n",
            "...                                                 ...       ...   \n",
            "2121                                               25.0       ...   \n",
            "2122                                               22.0       ...   \n",
            "2123                                               20.0       ...   \n",
            "2124                                               27.0       ...   \n",
            "2125                                               36.0       ...   \n",
            "\n",
            "      histogram_min  histogram_max  histogram_number_of_peaks  \\\n",
            "0              62.0          126.0                        2.0   \n",
            "1              68.0          198.0                        6.0   \n",
            "2              68.0          198.0                        5.0   \n",
            "3              53.0          170.0                       11.0   \n",
            "4              53.0          170.0                        9.0   \n",
            "...             ...            ...                        ...   \n",
            "2121          137.0          177.0                        4.0   \n",
            "2122          103.0          169.0                        6.0   \n",
            "2123          103.0          170.0                        5.0   \n",
            "2124          103.0          169.0                        6.0   \n",
            "2125          117.0          159.0                        2.0   \n",
            "\n",
            "      histogram_number_of_zeroes  histogram_mode  histogram_mean  \\\n",
            "0                            0.0           120.0           137.0   \n",
            "1                            1.0           141.0           136.0   \n",
            "2                            1.0           141.0           135.0   \n",
            "3                            0.0           137.0           134.0   \n",
            "4                            0.0           137.0           136.0   \n",
            "...                          ...             ...             ...   \n",
            "2121                         0.0           153.0           150.0   \n",
            "2122                         0.0           152.0           148.0   \n",
            "2123                         0.0           153.0           148.0   \n",
            "2124                         0.0           152.0           147.0   \n",
            "2125                         1.0           145.0           143.0   \n",
            "\n",
            "      histogram_median  histogram_variance  histogram_tendency  fetal_health  \n",
            "0                121.0                73.0                 1.0           2.0  \n",
            "1                140.0                12.0                 0.0           1.0  \n",
            "2                138.0                13.0                 0.0           1.0  \n",
            "3                137.0                13.0                 1.0           1.0  \n",
            "4                138.0                11.0                 1.0           1.0  \n",
            "...                ...                 ...                 ...           ...  \n",
            "2121             152.0                 2.0                 0.0           2.0  \n",
            "2122             151.0                 3.0                 1.0           2.0  \n",
            "2123             152.0                 4.0                 1.0           2.0  \n",
            "2124             151.0                 4.0                 1.0           2.0  \n",
            "2125             145.0                 1.0                 0.0           1.0  \n",
            "\n",
            "[2126 rows x 22 columns]\n"
          ]
        }
      ],
      "source": [
        "data=pd.read_csv('fetal_health.csv')\n",
        "print(data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mJozIxhONpmO",
        "outputId": "dc2cce8e-d2cd-4eca-bd84-f60f23cb630f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(2126, 22)"
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 273
        },
        "id": "7vts7EGyOLiL",
        "outputId": "1516655e-e489-47b4-e25e-47b46d44a7e9"
      },
      "outputs": [
        {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>baseline value</th>\n",
              "      <th>accelerations</th>\n",
              "      <th>fetal_movement</th>\n",
              "      <th>uterine_contractions</th>\n",
              "      <th>light_decelerations</th>\n",
              "      <th>severe_decelerations</th>\n",
              "      <th>prolongued_decelerations</th>\n",
              "      <th>abnormal_short_term_variability</th>\n",
              "      <th>mean_value_of_short_term_variability</th>\n",
              "      <th>percentage_of_time_with_abnormal_long_term_variability</th>\n",
              "      <th>...</th>\n",
              "      <th>histogram_min</th>\n",
              "      <th>histogram_max</th>\n",
              "      <th>histogram_number_of_peaks</th>\n",
              "      <th>histogram_number_of_zeroes</th>\n",
              "      <th>histogram_mode</th>\n",
              "      <th>histogram_mean</th>\n",
              "      <th>histogram_median</th>\n",
              "      <th>histogram_variance</th>\n",
              "      <th>histogram_tendency</th>\n",
              "      <th>fetal_health</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>120.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>73.0</td>\n",
              "      <td>0.5</td>\n",
              "      <td>43.0</td>\n",
              "      <td>...</td>\n",
              "      <td>62.0</td>\n",
              "      <td>126.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>121.0</td>\n",
              "      <td>73.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>132.0</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>2.1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>68.0</td>\n",
              "      <td>198.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>141.0</td>\n",
              "      <td>136.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>133.0</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2.1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>68.0</td>\n",
              "      <td>198.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>141.0</td>\n",
              "      <td>135.0</td>\n",
              "      <td>138.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>134.0</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>134.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>132.0</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>136.0</td>\n",
              "      <td>138.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 22 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   baseline value  accelerations  fetal_movement  uterine_contractions  \\\n",
              "0           120.0          0.000             0.0                 0.000   \n",
              "1           132.0          0.006             0.0                 0.006   \n",
              "2           133.0          0.003             0.0                 0.008   \n",
              "3           134.0          0.003             0.0                 0.008   \n",
              "4           132.0          0.007             0.0                 0.008   \n",
              "\n",
              "   light_decelerations  severe_decelerations  prolongued_decelerations  \\\n",
              "0                0.000                   0.0                       0.0   \n",
              "1                0.003                   0.0                       0.0   \n",
              "2                0.003                   0.0                       0.0   \n",
              "3                0.003                   0.0                       0.0   \n",
              "4                0.000                   0.0                       0.0   \n",
              "\n",
              "   abnormal_short_term_variability  mean_value_of_short_term_variability  \\\n",
              "0                             73.0                                   0.5   \n",
              "1                             17.0                                   2.1   \n",
              "2                             16.0                                   2.1   \n",
              "3                             16.0                                   2.4   \n",
              "4                             16.0                                   2.4   \n",
              "\n",
              "   percentage_of_time_with_abnormal_long_term_variability  ...  histogram_min  \\\n",
              "0                                               43.0       ...           62.0   \n",
              "1                                                0.0       ...           68.0   \n",
              "2                                                0.0       ...           68.0   \n",
              "3                                                0.0       ...           53.0   \n",
              "4                                                0.0       ...           53.0   \n",
              "\n",
              "   histogram_max  histogram_number_of_peaks  histogram_number_of_zeroes  \\\n",
              "0          126.0                        2.0                         0.0   \n",
              "1          198.0                        6.0                         1.0   \n",
              "2          198.0                        5.0                         1.0   \n",
              "3          170.0                       11.0                         0.0   \n",
              "4          170.0                        9.0                         0.0   \n",
              "\n",
              "   histogram_mode  histogram_mean  histogram_median  histogram_variance  \\\n",
              "0           120.0           137.0             121.0                73.0   \n",
              "1           141.0           136.0             140.0                12.0   \n",
              "2           141.0           135.0             138.0                13.0   \n",
              "3           137.0           134.0             137.0                13.0   \n",
              "4           137.0           136.0             138.0                11.0   \n",
              "\n",
              "   histogram_tendency  fetal_health  \n",
              "0                 1.0           2.0  \n",
              "1                 0.0           1.0  \n",
              "2                 0.0           1.0  \n",
              "3                 1.0           1.0  \n",
              "4                 1.0           1.0  \n",
              "\n",
              "[5 rows x 22 columns]"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 273
        },
        "id": "jFC_dnPBNpkj",
        "outputId": "1519a161-b4ae-4024-9e0c-df80aa8de6a7"
      },
      "outputs": [
        {
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>baseline value</th>\n",
              "      <th>accelerations</th>\n",
              "      <th>fetal_movement</th>\n",
              "      <th>uterine_contractions</th>\n",
              "      <th>light_decelerations</th>\n",
              "      <th>severe_decelerations</th>\n",
              "      <th>prolongued_decelerations</th>\n",
              "      <th>abnormal_short_term_variability</th>\n",
              "      <th>mean_value_of_short_term_variability</th>\n",
              "      <th>percentage_of_time_with_abnormal_long_term_variability</th>\n",
              "      <th>...</th>\n",
              "      <th>histogram_min</th>\n",
              "      <th>histogram_max</th>\n",
              "      <th>histogram_number_of_peaks</th>\n",
              "      <th>histogram_number_of_zeroes</th>\n",
              "      <th>histogram_mode</th>\n",
              "      <th>histogram_mean</th>\n",
              "      <th>histogram_median</th>\n",
              "      <th>histogram_variance</th>\n",
              "      <th>histogram_tendency</th>\n",
              "      <th>fetal_health</th>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>78.0</td>\n",
              "      <td>0.4</td>\n",
              "      <td>22.0</td>\n",
              "      <td>...</td>\n",
              "      <td>103.0</td>\n",
              "      <td>169.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>152.0</td>\n",
              "      <td>148.0</td>\n",
              "      <td>151.0</td>\n",
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              "      <td>140.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>79.0</td>\n",
              "      <td>0.4</td>\n",
              "      <td>20.0</td>\n",
              "      <td>...</td>\n",
              "      <td>103.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>153.0</td>\n",
              "      <td>148.0</td>\n",
              "      <td>152.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2124</th>\n",
              "      <td>140.0</td>\n",
              "      <td>0.001</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>78.0</td>\n",
              "      <td>0.4</td>\n",
              "      <td>27.0</td>\n",
              "      <td>...</td>\n",
              "      <td>103.0</td>\n",
              "      <td>169.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>152.0</td>\n",
              "      <td>147.0</td>\n",
              "      <td>151.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2125</th>\n",
              "      <td>142.0</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>74.0</td>\n",
              "      <td>0.4</td>\n",
              "      <td>36.0</td>\n",
              "      <td>...</td>\n",
              "      <td>117.0</td>\n",
              "      <td>159.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>145.0</td>\n",
              "      <td>143.0</td>\n",
              "      <td>145.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 22 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      baseline value  accelerations  fetal_movement  uterine_contractions  \\\n",
              "2121           140.0          0.000           0.000                 0.007   \n",
              "2122           140.0          0.001           0.000                 0.007   \n",
              "2123           140.0          0.001           0.000                 0.007   \n",
              "2124           140.0          0.001           0.000                 0.006   \n",
              "2125           142.0          0.002           0.002                 0.008   \n",
              "\n",
              "      light_decelerations  severe_decelerations  prolongued_decelerations  \\\n",
              "2121                  0.0                   0.0                       0.0   \n",
              "2122                  0.0                   0.0                       0.0   \n",
              "2123                  0.0                   0.0                       0.0   \n",
              "2124                  0.0                   0.0                       0.0   \n",
              "2125                  0.0                   0.0                       0.0   \n",
              "\n",
              "      abnormal_short_term_variability  mean_value_of_short_term_variability  \\\n",
              "2121                             79.0                                   0.2   \n",
              "2122                             78.0                                   0.4   \n",
              "2123                             79.0                                   0.4   \n",
              "2124                             78.0                                   0.4   \n",
              "2125                             74.0                                   0.4   \n",
              "\n",
              "      percentage_of_time_with_abnormal_long_term_variability  ...  \\\n",
              "2121                                               25.0       ...   \n",
              "2122                                               22.0       ...   \n",
              "2123                                               20.0       ...   \n",
              "2124                                               27.0       ...   \n",
              "2125                                               36.0       ...   \n",
              "\n",
              "      histogram_min  histogram_max  histogram_number_of_peaks  \\\n",
              "2121          137.0          177.0                        4.0   \n",
              "2122          103.0          169.0                        6.0   \n",
              "2123          103.0          170.0                        5.0   \n",
              "2124          103.0          169.0                        6.0   \n",
              "2125          117.0          159.0                        2.0   \n",
              "\n",
              "      histogram_number_of_zeroes  histogram_mode  histogram_mean  \\\n",
              "2121                         0.0           153.0           150.0   \n",
              "2122                         0.0           152.0           148.0   \n",
              "2123                         0.0           153.0           148.0   \n",
              "2124                         0.0           152.0           147.0   \n",
              "2125                         1.0           145.0           143.0   \n",
              "\n",
              "      histogram_median  histogram_variance  histogram_tendency  fetal_health  \n",
              "2121             152.0                 2.0                 0.0           2.0  \n",
              "2122             151.0                 3.0                 1.0           2.0  \n",
              "2123             152.0                 4.0                 1.0           2.0  \n",
              "2124             151.0                 4.0                 1.0           2.0  \n",
              "2125             145.0                 1.0                 0.0           1.0  \n",
              "\n",
              "[5 rows x 22 columns]"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.tail()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 739
        },
        "id": "BVItGinLOUM0",
        "outputId": "c65349ed-0d5a-41d4-dfef-8528841ad4ac"
      },
      "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>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>baseline value</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>133.303857</td>\n",
              "      <td>9.840844</td>\n",
              "      <td>106.0</td>\n",
              "      <td>126.000</td>\n",
              "      <td>133.000</td>\n",
              "      <td>140.000</td>\n",
              "      <td>160.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>accelerations</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>0.003178</td>\n",
              "      <td>0.003866</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fetal_movement</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>0.009481</td>\n",
              "      <td>0.046666</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.481</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>uterine_contractions</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>0.004366</td>\n",
              "      <td>0.002946</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.004</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.015</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>light_decelerations</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>0.001889</td>\n",
              "      <td>0.002960</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.015</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>severe_decelerations</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>0.000003</td>\n",
              "      <td>0.000057</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.001</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>prolongued_decelerations</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>0.000159</td>\n",
              "      <td>0.000590</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.005</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>abnormal_short_term_variability</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>46.990122</td>\n",
              "      <td>17.192814</td>\n",
              "      <td>12.0</td>\n",
              "      <td>32.000</td>\n",
              "      <td>49.000</td>\n",
              "      <td>61.000</td>\n",
              "      <td>87.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean_value_of_short_term_variability</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>1.332785</td>\n",
              "      <td>0.883241</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.700</td>\n",
              "      <td>1.200</td>\n",
              "      <td>1.700</td>\n",
              "      <td>7.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>percentage_of_time_with_abnormal_long_term_variability</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>9.846660</td>\n",
              "      <td>18.396880</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>11.000</td>\n",
              "      <td>91.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean_value_of_long_term_variability</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>8.187629</td>\n",
              "      <td>5.628247</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.600</td>\n",
              "      <td>7.400</td>\n",
              "      <td>10.800</td>\n",
              "      <td>50.700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>histogram_width</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>70.445908</td>\n",
              "      <td>38.955693</td>\n",
              "      <td>3.0</td>\n",
              "      <td>37.000</td>\n",
              "      <td>67.500</td>\n",
              "      <td>100.000</td>\n",
              "      <td>180.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>histogram_min</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>93.579492</td>\n",
              "      <td>29.560212</td>\n",
              "      <td>50.0</td>\n",
              "      <td>67.000</td>\n",
              "      <td>93.000</td>\n",
              "      <td>120.000</td>\n",
              "      <td>159.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>histogram_max</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>164.025400</td>\n",
              "      <td>17.944183</td>\n",
              "      <td>122.0</td>\n",
              "      <td>152.000</td>\n",
              "      <td>162.000</td>\n",
              "      <td>174.000</td>\n",
              "      <td>238.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>histogram_number_of_peaks</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>4.068203</td>\n",
              "      <td>2.949386</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.000</td>\n",
              "      <td>3.000</td>\n",
              "      <td>6.000</td>\n",
              "      <td>18.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>histogram_number_of_zeroes</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>0.323612</td>\n",
              "      <td>0.706059</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>10.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>histogram_mode</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>137.452023</td>\n",
              "      <td>16.381289</td>\n",
              "      <td>60.0</td>\n",
              "      <td>129.000</td>\n",
              "      <td>139.000</td>\n",
              "      <td>148.000</td>\n",
              "      <td>187.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>histogram_mean</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>134.610536</td>\n",
              "      <td>15.593596</td>\n",
              "      <td>73.0</td>\n",
              "      <td>125.000</td>\n",
              "      <td>136.000</td>\n",
              "      <td>145.000</td>\n",
              "      <td>182.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>histogram_median</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>138.090310</td>\n",
              "      <td>14.466589</td>\n",
              "      <td>77.0</td>\n",
              "      <td>129.000</td>\n",
              "      <td>139.000</td>\n",
              "      <td>148.000</td>\n",
              "      <td>186.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>histogram_variance</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>18.808090</td>\n",
              "      <td>28.977636</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.000</td>\n",
              "      <td>7.000</td>\n",
              "      <td>24.000</td>\n",
              "      <td>269.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>histogram_tendency</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>0.320320</td>\n",
              "      <td>0.610829</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>1.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fetal_health</th>\n",
              "      <td>2126.0</td>\n",
              "      <td>1.304327</td>\n",
              "      <td>0.614377</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>3.000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                     count        mean  \\\n",
              "baseline value                                      2126.0  133.303857   \n",
              "accelerations                                       2126.0    0.003178   \n",
              "fetal_movement                                      2126.0    0.009481   \n",
              "uterine_contractions                                2126.0    0.004366   \n",
              "light_decelerations                                 2126.0    0.001889   \n",
              "severe_decelerations                                2126.0    0.000003   \n",
              "prolongued_decelerations                            2126.0    0.000159   \n",
              "abnormal_short_term_variability                     2126.0   46.990122   \n",
              "mean_value_of_short_term_variability                2126.0    1.332785   \n",
              "percentage_of_time_with_abnormal_long_term_vari...  2126.0    9.846660   \n",
              "mean_value_of_long_term_variability                 2126.0    8.187629   \n",
              "histogram_width                                     2126.0   70.445908   \n",
              "histogram_min                                       2126.0   93.579492   \n",
              "histogram_max                                       2126.0  164.025400   \n",
              "histogram_number_of_peaks                           2126.0    4.068203   \n",
              "histogram_number_of_zeroes                          2126.0    0.323612   \n",
              "histogram_mode                                      2126.0  137.452023   \n",
              "histogram_mean                                      2126.0  134.610536   \n",
              "histogram_median                                    2126.0  138.090310   \n",
              "histogram_variance                                  2126.0   18.808090   \n",
              "histogram_tendency                                  2126.0    0.320320   \n",
              "fetal_health                                        2126.0    1.304327   \n",
              "\n",
              "                                                          std    min      25%  \\\n",
              "baseline value                                       9.840844  106.0  126.000   \n",
              "accelerations                                        0.003866    0.0    0.000   \n",
              "fetal_movement                                       0.046666    0.0    0.000   \n",
              "uterine_contractions                                 0.002946    0.0    0.002   \n",
              "light_decelerations                                  0.002960    0.0    0.000   \n",
              "severe_decelerations                                 0.000057    0.0    0.000   \n",
              "prolongued_decelerations                             0.000590    0.0    0.000   \n",
              "abnormal_short_term_variability                     17.192814   12.0   32.000   \n",
              "mean_value_of_short_term_variability                 0.883241    0.2    0.700   \n",
              "percentage_of_time_with_abnormal_long_term_vari...  18.396880    0.0    0.000   \n",
              "mean_value_of_long_term_variability                  5.628247    0.0    4.600   \n",
              "histogram_width                                     38.955693    3.0   37.000   \n",
              "histogram_min                                       29.560212   50.0   67.000   \n",
              "histogram_max                                       17.944183  122.0  152.000   \n",
              "histogram_number_of_peaks                            2.949386    0.0    2.000   \n",
              "histogram_number_of_zeroes                           0.706059    0.0    0.000   \n",
              "histogram_mode                                      16.381289   60.0  129.000   \n",
              "histogram_mean                                      15.593596   73.0  125.000   \n",
              "histogram_median                                    14.466589   77.0  129.000   \n",
              "histogram_variance                                  28.977636    0.0    2.000   \n",
              "histogram_tendency                                   0.610829   -1.0    0.000   \n",
              "fetal_health                                         0.614377    1.0    1.000   \n",
              "\n",
              "                                                        50%      75%      max  \n",
              "baseline value                                      133.000  140.000  160.000  \n",
              "accelerations                                         0.002    0.006    0.019  \n",
              "fetal_movement                                        0.000    0.003    0.481  \n",
              "uterine_contractions                                  0.004    0.007    0.015  \n",
              "light_decelerations                                   0.000    0.003    0.015  \n",
              "severe_decelerations                                  0.000    0.000    0.001  \n",
              "prolongued_decelerations                              0.000    0.000    0.005  \n",
              "abnormal_short_term_variability                      49.000   61.000   87.000  \n",
              "mean_value_of_short_term_variability                  1.200    1.700    7.000  \n",
              "percentage_of_time_with_abnormal_long_term_vari...    0.000   11.000   91.000  \n",
              "mean_value_of_long_term_variability                   7.400   10.800   50.700  \n",
              "histogram_width                                      67.500  100.000  180.000  \n",
              "histogram_min                                        93.000  120.000  159.000  \n",
              "histogram_max                                       162.000  174.000  238.000  \n",
              "histogram_number_of_peaks                             3.000    6.000   18.000  \n",
              "histogram_number_of_zeroes                            0.000    0.000   10.000  \n",
              "histogram_mode                                      139.000  148.000  187.000  \n",
              "histogram_mean                                      136.000  145.000  182.000  \n",
              "histogram_median                                    139.000  148.000  186.000  \n",
              "histogram_variance                                    7.000   24.000  269.000  \n",
              "histogram_tendency                                    0.000    1.000    1.000  \n",
              "fetal_health                                          1.000    1.000    3.000  "
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.describe().T"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sugZjBbTOV6w",
        "outputId": "d46e1fbd-6cfd-4af9-d1e6-8071f5e7d9d0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0       False\n",
              "1       False\n",
              "2       False\n",
              "3       False\n",
              "4       False\n",
              "        ...  \n",
              "2121    False\n",
              "2122    False\n",
              "2123    False\n",
              "2124    False\n",
              "2125    False\n",
              "Length: 2126, dtype: bool"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.duplicated()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HRuzgHtVPn80",
        "outputId": "47571c11-e130-45a6-806d-a5ab18364124"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "baseline value                                            0\n",
              "accelerations                                             0\n",
              "fetal_movement                                            0\n",
              "uterine_contractions                                      0\n",
              "light_decelerations                                       0\n",
              "severe_decelerations                                      0\n",
              "prolongued_decelerations                                  0\n",
              "abnormal_short_term_variability                           0\n",
              "mean_value_of_short_term_variability                      0\n",
              "percentage_of_time_with_abnormal_long_term_variability    0\n",
              "mean_value_of_long_term_variability                       0\n",
              "histogram_width                                           0\n",
              "histogram_min                                             0\n",
              "histogram_max                                             0\n",
              "histogram_number_of_peaks                                 0\n",
              "histogram_number_of_zeroes                                0\n",
              "histogram_mode                                            0\n",
              "histogram_mean                                            0\n",
              "histogram_median                                          0\n",
              "histogram_variance                                        0\n",
              "histogram_tendency                                        0\n",
              "fetal_health                                              0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LsnlXtTuP6Gt",
        "outputId": "d0146c06-18ed-44bb-f66c-cc1d23a71bba"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "fetal_health\n",
              "1.0    1655\n",
              "2.0     295\n",
              "3.0     176\n",
              "Name: count, dtype: int64"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data[\"fetal_health\"].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "r6lD3sQmReVp",
        "outputId": "345776e7-6244-42e6-925e-c1eb012fcc5b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "fetal_movement\n",
              "0.000    1311\n",
              "0.001     164\n",
              "0.002     112\n",
              "0.003      88\n",
              "0.004      49\n",
              "         ... \n",
              "0.079       1\n",
              "0.109       1\n",
              "0.103       1\n",
              "0.031       1\n",
              "0.099       1\n",
              "Name: count, Length: 102, dtype: int64"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data[\"fetal_movement\"].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7NYdnvZjPn7f",
        "outputId": "9271e78d-e24b-497a-e068-f936b30acfc2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "accelerations\n",
              "0.000    894\n",
              "0.003    161\n",
              "0.002    160\n",
              "0.001    143\n",
              "0.004    117\n",
              "0.006    112\n",
              "0.005    110\n",
              "0.008    103\n",
              "0.007     91\n",
              "0.009     60\n",
              "0.010     50\n",
              "0.011     36\n",
              "0.012     24\n",
              "0.013     22\n",
              "0.014     20\n",
              "0.015      9\n",
              "0.016      7\n",
              "0.017      4\n",
              "0.018      2\n",
              "0.019      1\n",
              "Name: count, dtype: int64"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data[\"accelerations\"].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 242
        },
        "id": "YgRqy2WWagOd",
        "outputId": "d70974b0-ab02-4081-f534-732569eb20c0"
      },
      "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>baseline value</th>\n",
              "      <th>accelerations</th>\n",
              "      <th>fetal_movement</th>\n",
              "      <th>uterine_contractions</th>\n",
              "      <th>light_decelerations</th>\n",
              "      <th>severe_decelerations</th>\n",
              "      <th>prolongued_decelerations</th>\n",
              "      <th>abnormal_short_term_variability</th>\n",
              "      <th>mean_value_of_short_term_variability</th>\n",
              "      <th>percentage_of_time_with_abnormal_long_term_variability</th>\n",
              "      <th>...</th>\n",
              "      <th>histogram_min</th>\n",
              "      <th>histogram_max</th>\n",
              "      <th>histogram_number_of_peaks</th>\n",
              "      <th>histogram_number_of_zeroes</th>\n",
              "      <th>histogram_mode</th>\n",
              "      <th>histogram_mean</th>\n",
              "      <th>histogram_median</th>\n",
              "      <th>histogram_variance</th>\n",
              "      <th>histogram_tendency</th>\n",
              "      <th>fetal_health</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>132.0</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>2.1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>68.0</td>\n",
              "      <td>198.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>141.0</td>\n",
              "      <td>136.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>133.0</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2.1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>68.0</td>\n",
              "      <td>198.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>141.0</td>\n",
              "      <td>135.0</td>\n",
              "      <td>138.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>134.0</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>134.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>132.0</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>136.0</td>\n",
              "      <td>138.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>4 rows × 22 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   baseline value  accelerations  fetal_movement  uterine_contractions  \\\n",
              "1           132.0          0.006             0.0                 0.006   \n",
              "2           133.0          0.003             0.0                 0.008   \n",
              "3           134.0          0.003             0.0                 0.008   \n",
              "4           132.0          0.007             0.0                 0.008   \n",
              "\n",
              "   light_decelerations  severe_decelerations  prolongued_decelerations  \\\n",
              "1                0.003                   0.0                       0.0   \n",
              "2                0.003                   0.0                       0.0   \n",
              "3                0.003                   0.0                       0.0   \n",
              "4                0.000                   0.0                       0.0   \n",
              "\n",
              "   abnormal_short_term_variability  mean_value_of_short_term_variability  \\\n",
              "1                             17.0                                   2.1   \n",
              "2                             16.0                                   2.1   \n",
              "3                             16.0                                   2.4   \n",
              "4                             16.0                                   2.4   \n",
              "\n",
              "   percentage_of_time_with_abnormal_long_term_variability  ...  histogram_min  \\\n",
              "1                                                0.0       ...           68.0   \n",
              "2                                                0.0       ...           68.0   \n",
              "3                                                0.0       ...           53.0   \n",
              "4                                                0.0       ...           53.0   \n",
              "\n",
              "   histogram_max  histogram_number_of_peaks  histogram_number_of_zeroes  \\\n",
              "1          198.0                        6.0                         1.0   \n",
              "2          198.0                        5.0                         1.0   \n",
              "3          170.0                       11.0                         0.0   \n",
              "4          170.0                        9.0                         0.0   \n",
              "\n",
              "   histogram_mode  histogram_mean  histogram_median  histogram_variance  \\\n",
              "1           141.0           136.0             140.0                12.0   \n",
              "2           141.0           135.0             138.0                13.0   \n",
              "3           137.0           134.0             137.0                13.0   \n",
              "4           137.0           136.0             138.0                11.0   \n",
              "\n",
              "   histogram_tendency  fetal_health  \n",
              "1                 0.0           1.0  \n",
              "2                 0.0           1.0  \n",
              "3                 1.0           1.0  \n",
              "4                 1.0           1.0  \n",
              "\n",
              "[4 rows x 22 columns]"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data[1:5]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N2WU1bpPSBfn",
        "outputId": "54a70937-d1b6-4e2e-e5dd-226afc96a3ff"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The highest abnormal_short_term_variability in the data : 87.0\n",
            "The lowest abnormal_short_term_variability in the data: 12.0\n",
            "The average abnormal_short_term_variability in the data: 46.99012229539041\n"
          ]
        }
      ],
      "source": [
        "# See the min, max, mean values of abnormal_short_term_variability\n",
        "print('The highest abnormal_short_term_variability in the data :',data['abnormal_short_term_variability'].max())\n",
        "print('The lowest abnormal_short_term_variability in the data:',data['abnormal_short_term_variability'].min())\n",
        "print('The average abnormal_short_term_variability in the data:',data['abnormal_short_term_variability'].mean())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "h27PFqkhT2GK",
        "outputId": "fc695a26-cc6a-43a7-b891-85c693ea0a70"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 300x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "\n",
        "# Assuming you have a column 'Fetal_Health' in your dataset\n",
        "fetal_health_counts = data['fetal_health'].value_counts()\n",
        "\n",
        "# Plotting a bar chart\n",
        "plt.figure(figsize=(3,6))\n",
        "plt.bar(fetal_health_counts.index, fetal_health_counts, color=(\"#f7b2b0\",\"#8f7198\", \"#003f5c\"))\n",
        "plt.title('Distribution of Fetal Health')\n",
        "plt.xlabel('Fetal Health Categories or Classes')\n",
        "plt.ylabel('Count')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 481
        },
        "id": "RsooLD9WYDsI",
        "outputId": "02af0b62-0f8d-47cf-97b9-0d412bde0087"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1500x500 with 3 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig,(ax1,ax2,ax3)=plt.subplots(1,3,figsize=(15,5))\n",
        "data_len=data[data['fetal_health']==1]['baseline value'].value_counts()\n",
        "\n",
        "ax1.hist(data_len,color='green')\n",
        "ax1.set_title('Normal Health')\n",
        "\n",
        "data_len=data[data['fetal_health']==2]['baseline value'].value_counts()\n",
        "ax2.hist(data_len,color='yellow')\n",
        "ax2.set_title('Suspect')\n",
        "\n",
        "\n",
        "data_len=data[data['fetal_health']==3]['baseline value'].value_counts()\n",
        "ax3.hist(data_len,color='red')\n",
        "ax3.set_title('Pathological')\n",
        "\n",
        "fig.suptitle('Fetal Health')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_lv03R41k9qn"
      },
      "source": [
        "logistic regression"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 461
        },
        "id": "RF6QQoDZdpSV",
        "outputId": "d15507d8-a485-4f2b-df8c-329c5eb524cb"
      },
      "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>baseline value</th>\n",
              "      <th>accelerations</th>\n",
              "      <th>fetal_movement</th>\n",
              "      <th>uterine_contractions</th>\n",
              "      <th>light_decelerations</th>\n",
              "      <th>severe_decelerations</th>\n",
              "      <th>prolongued_decelerations</th>\n",
              "      <th>abnormal_short_term_variability</th>\n",
              "      <th>mean_value_of_short_term_variability</th>\n",
              "      <th>percentage_of_time_with_abnormal_long_term_variability</th>\n",
              "      <th>...</th>\n",
              "      <th>histogram_min</th>\n",
              "      <th>histogram_max</th>\n",
              "      <th>histogram_number_of_peaks</th>\n",
              "      <th>histogram_number_of_zeroes</th>\n",
              "      <th>histogram_mode</th>\n",
              "      <th>histogram_mean</th>\n",
              "      <th>histogram_median</th>\n",
              "      <th>histogram_variance</th>\n",
              "      <th>histogram_tendency</th>\n",
              "      <th>fetal_health</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>120.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>73.0</td>\n",
              "      <td>0.5</td>\n",
              "      <td>43.0</td>\n",
              "      <td>...</td>\n",
              "      <td>62.0</td>\n",
              "      <td>126.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>121.0</td>\n",
              "      <td>73.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>132.0</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>2.1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>68.0</td>\n",
              "      <td>198.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>141.0</td>\n",
              "      <td>136.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>133.0</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2.1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>68.0</td>\n",
              "      <td>198.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>141.0</td>\n",
              "      <td>135.0</td>\n",
              "      <td>138.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>134.0</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>134.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>132.0</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>136.0</td>\n",
              "      <td>138.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2121</th>\n",
              "      <td>140.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>79.0</td>\n",
              "      <td>0.2</td>\n",
              "      <td>25.0</td>\n",
              "      <td>...</td>\n",
              "      <td>137.0</td>\n",
              "      <td>177.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>153.0</td>\n",
              "      <td>150.0</td>\n",
              "      <td>152.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2122</th>\n",
              "      <td>140.0</td>\n",
              "      <td>0.001</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>78.0</td>\n",
              "      <td>0.4</td>\n",
              "      <td>22.0</td>\n",
              "      <td>...</td>\n",
              "      <td>103.0</td>\n",
              "      <td>169.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>152.0</td>\n",
              "      <td>148.0</td>\n",
              "      <td>151.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2123</th>\n",
              "      <td>140.0</td>\n",
              "      <td>0.001</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.007</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>79.0</td>\n",
              "      <td>0.4</td>\n",
              "      <td>20.0</td>\n",
              "      <td>...</td>\n",
              "      <td>103.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>153.0</td>\n",
              "      <td>148.0</td>\n",
              "      <td>152.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2124</th>\n",
              "      <td>140.0</td>\n",
              "      <td>0.001</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>78.0</td>\n",
              "      <td>0.4</td>\n",
              "      <td>27.0</td>\n",
              "      <td>...</td>\n",
              "      <td>103.0</td>\n",
              "      <td>169.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>152.0</td>\n",
              "      <td>147.0</td>\n",
              "      <td>151.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2125</th>\n",
              "      <td>142.0</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.008</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>74.0</td>\n",
              "      <td>0.4</td>\n",
              "      <td>36.0</td>\n",
              "      <td>...</td>\n",
              "      <td>117.0</td>\n",
              "      <td>159.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>145.0</td>\n",
              "      <td>143.0</td>\n",
              "      <td>145.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2126 rows × 22 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      baseline value  accelerations  fetal_movement  uterine_contractions  \\\n",
              "0              120.0          0.000           0.000                 0.000   \n",
              "1              132.0          0.006           0.000                 0.006   \n",
              "2              133.0          0.003           0.000                 0.008   \n",
              "3              134.0          0.003           0.000                 0.008   \n",
              "4              132.0          0.007           0.000                 0.008   \n",
              "...              ...            ...             ...                   ...   \n",
              "2121           140.0          0.000           0.000                 0.007   \n",
              "2122           140.0          0.001           0.000                 0.007   \n",
              "2123           140.0          0.001           0.000                 0.007   \n",
              "2124           140.0          0.001           0.000                 0.006   \n",
              "2125           142.0          0.002           0.002                 0.008   \n",
              "\n",
              "      light_decelerations  severe_decelerations  prolongued_decelerations  \\\n",
              "0                   0.000                   0.0                       0.0   \n",
              "1                   0.003                   0.0                       0.0   \n",
              "2                   0.003                   0.0                       0.0   \n",
              "3                   0.003                   0.0                       0.0   \n",
              "4                   0.000                   0.0                       0.0   \n",
              "...                   ...                   ...                       ...   \n",
              "2121                0.000                   0.0                       0.0   \n",
              "2122                0.000                   0.0                       0.0   \n",
              "2123                0.000                   0.0                       0.0   \n",
              "2124                0.000                   0.0                       0.0   \n",
              "2125                0.000                   0.0                       0.0   \n",
              "\n",
              "      abnormal_short_term_variability  mean_value_of_short_term_variability  \\\n",
              "0                                73.0                                   0.5   \n",
              "1                                17.0                                   2.1   \n",
              "2                                16.0                                   2.1   \n",
              "3                                16.0                                   2.4   \n",
              "4                                16.0                                   2.4   \n",
              "...                               ...                                   ...   \n",
              "2121                             79.0                                   0.2   \n",
              "2122                             78.0                                   0.4   \n",
              "2123                             79.0                                   0.4   \n",
              "2124                             78.0                                   0.4   \n",
              "2125                             74.0                                   0.4   \n",
              "\n",
              "      percentage_of_time_with_abnormal_long_term_variability  ...  \\\n",
              "0                                                  43.0       ...   \n",
              "1                                                   0.0       ...   \n",
              "2                                                   0.0       ...   \n",
              "3                                                   0.0       ...   \n",
              "4                                                   0.0       ...   \n",
              "...                                                 ...       ...   \n",
              "2121                                               25.0       ...   \n",
              "2122                                               22.0       ...   \n",
              "2123                                               20.0       ...   \n",
              "2124                                               27.0       ...   \n",
              "2125                                               36.0       ...   \n",
              "\n",
              "      histogram_min  histogram_max  histogram_number_of_peaks  \\\n",
              "0              62.0          126.0                        2.0   \n",
              "1              68.0          198.0                        6.0   \n",
              "2              68.0          198.0                        5.0   \n",
              "3              53.0          170.0                       11.0   \n",
              "4              53.0          170.0                        9.0   \n",
              "...             ...            ...                        ...   \n",
              "2121          137.0          177.0                        4.0   \n",
              "2122          103.0          169.0                        6.0   \n",
              "2123          103.0          170.0                        5.0   \n",
              "2124          103.0          169.0                        6.0   \n",
              "2125          117.0          159.0                        2.0   \n",
              "\n",
              "      histogram_number_of_zeroes  histogram_mode  histogram_mean  \\\n",
              "0                            0.0           120.0           137.0   \n",
              "1                            1.0           141.0           136.0   \n",
              "2                            1.0           141.0           135.0   \n",
              "3                            0.0           137.0           134.0   \n",
              "4                            0.0           137.0           136.0   \n",
              "...                          ...             ...             ...   \n",
              "2121                         0.0           153.0           150.0   \n",
              "2122                         0.0           152.0           148.0   \n",
              "2123                         0.0           153.0           148.0   \n",
              "2124                         0.0           152.0           147.0   \n",
              "2125                         1.0           145.0           143.0   \n",
              "\n",
              "      histogram_median  histogram_variance  histogram_tendency  fetal_health  \n",
              "0                121.0                73.0                 1.0           2.0  \n",
              "1                140.0                12.0                 0.0           1.0  \n",
              "2                138.0                13.0                 0.0           1.0  \n",
              "3                137.0                13.0                 1.0           1.0  \n",
              "4                138.0                11.0                 1.0           1.0  \n",
              "...                ...                 ...                 ...           ...  \n",
              "2121             152.0                 2.0                 0.0           2.0  \n",
              "2122             151.0                 3.0                 1.0           2.0  \n",
              "2123             152.0                 4.0                 1.0           2.0  \n",
              "2124             151.0                 4.0                 1.0           2.0  \n",
              "2125             145.0                 1.0                 0.0           1.0  \n",
              "\n",
              "[2126 rows x 22 columns]"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn import metrics\n",
        "\n",
        "# Assuming 'target_column' is the name of your target variable\n",
        "X_train, X_test, y_train, y_test = train_test_split(data, data['fetal_health'], test_size=0.3, random_state=42)\n",
        "data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CWgALaBXe9Oe",
        "outputId": "65201dd1-9da8-4f25-e847-8a129e596367"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "['baseline value', 'accelerations', 'fetal_movement', 'uterine_contractions', 'light_decelerations', 'severe_decelerations', 'prolongued_decelerations', 'abnormal_short_term_variability', 'mean_value_of_short_term_variability', 'percentage_of_time_with_abnormal_long_term_variability', 'mean_value_of_long_term_variability', 'histogram_width', 'histogram_min', 'histogram_max', 'histogram_number_of_peaks', 'histogram_number_of_zeroes', 'histogram_mode', 'histogram_mean', 'histogram_median', 'histogram_variance', 'histogram_tendency', 'fetal_health']\n"
          ]
        }
      ],
      "source": [
        "# Assuming 'df' is your DataFrame\n",
        "feature_names = data.columns.tolist()\n",
        "print(feature_names)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d9Eo79zbfgtU",
        "outputId": "a714f1c8-dc44-40ef-d956-5b35ff8977e1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The accuracy of the Logistic Regression model is: 0.8808777429467085\n",
            "Classification Report:\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "         1.0       0.92      0.96      0.94       496\n",
            "         2.0       0.75      0.50      0.60       101\n",
            "         3.0       0.66      0.85      0.74        41\n",
            "\n",
            "    accuracy                           0.88       638\n",
            "   macro avg       0.78      0.77      0.76       638\n",
            "weighted avg       0.88      0.88      0.87       638\n",
            "\n"
          ]
        }
      ],
      "source": [
        "from sklearn.impute import SimpleImputer\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn import metrics\n",
        "from sklearn.metrics import classification_report\n",
        "\n",
        "# Assuming 'classification' is a variable containing the target column name\n",
        "classification = 'fetal_health'  # Replace with your actual target column name\n",
        "\n",
        "# Select features (X) and target variable (y)\n",
        "feature_columns = ['baseline value', 'accelerations', 'fetal_movement', 'uterine_contractions', 'light_decelerations', 'severe_decelerations', 'prolongued_decelerations', 'abnormal_short_term_variability', 'mean_value_of_short_term_variability', 'percentage_of_time_with_abnormal_long_term_variability', 'mean_value_of_long_term_variability', 'histogram_width', 'histogram_min', 'histogram_max', 'histogram_number_of_peaks', 'histogram_number_of_zeroes', 'histogram_mode', 'histogram_mean', 'histogram_median', 'histogram_variance', 'histogram_tendency', 'fetal_health']\n",
        "X = data[feature_columns]\n",
        "y = data[classification]\n",
        "\n",
        "# Replace '\\t?' with NaN\n",
        "X.replace('\\t?', np.nan, inplace=True)\n",
        "\n",
        "# Convert columns to numeric (assuming that they are numeric features)\n",
        "X = X.apply(pd.to_numeric, errors='coerce')\n",
        "\n",
        "# Impute missing values using the mean strategy\n",
        "imputer = SimpleImputer(strategy='mean')\n",
        "X_imputed = imputer.fit_transform(X)\n",
        "\n",
        "# Split the data into training and testing sets\n",
        "train_X, test_X, train_Y, test_Y = train_test_split(X_imputed, y, test_size=0.3, random_state=42)\n",
        "\n",
        "# Initialize and train the Logistic Regression model\n",
        "model = LogisticRegression()\n",
        "model.fit(train_X, train_Y)\n",
        "\n",
        "# Make predictions on the test set\n",
        "predictions = model.predict(test_X)\n",
        "\n",
        "# Evaluate the model\n",
        "accuracy = metrics.accuracy_score(predictions, test_Y)\n",
        "print('The accuracy of the Logistic Regression model is:', accuracy)\n",
        "\n",
        "# Display the classification report\n",
        "report = classification_report(test_Y, predictions)\n",
        "print(\"Classification Report:\\n\", report)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "HnzarUgSgD_V",
        "outputId": "634aaebf-6e73-464d-b2a3-53b915700275"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Replace these values with your actual scores\n",
        "precision = [0.91, 0.74,0.79]\n",
        "recall = [0.96,0.55,0.76]\n",
        "f1_score = [0.94,0.63,0.77]\n",
        "\n",
        "labels = ['Class 1', 'Class 2','Class 3']\n",
        "\n",
        "# Plotting the bar chart\n",
        "width = 0.2\n",
        "x = np.arange(len(labels))\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "rects1 = ax.bar(x - width, precision, width, label='Precision')\n",
        "rects2 = ax.bar(x, recall, width, label='Recall')\n",
        "rects3 = ax.bar(x + width, f1_score, width, label='F1-Score')\n",
        "\n",
        "# Adding labels, title, and legend\n",
        "ax.set_ylabel('Scores')\n",
        "ax.set_title('Logistic Regression Model Evaluation Metrics')\n",
        "ax.set_xticks(x)\n",
        "ax.set_xticklabels(labels)\n",
        "ax.legend()\n",
        "\n",
        "# Display the plot\n",
        "plt.show()\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ibBhM1Hukj4i"
      },
      "source": [
        "linear regression"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b40aAizVgyUZ",
        "outputId": "b549fa71-60aa-4a72-db40-76a1bb7d1b11"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Linear Regression Accuracy: 0.8808777429467085\n",
            "Mean squared Error: 3.6548185395300284e-30\n",
            "Root Mean squared Error: 1.9117579709602438e-15\n",
            "Mean Absolute Error: 1.5633610741743583e-15\n",
            "R-squared: 1.0\n"
          ]
        }
      ],
      "source": [
        "\n",
        "# Assuming 'classification' is a variable containing the target column name\n",
        "classification = 'fetal_health'  # Replace with your actual target column name\n",
        "\n",
        "# Select features (X) and target variable (y)\n",
        "feature_columns = ['baseline value', 'accelerations', 'fetal_movement', 'uterine_contractions', 'light_decelerations', 'severe_decelerations', 'prolongued_decelerations', 'abnormal_short_term_variability', 'mean_value_of_short_term_variability', 'percentage_of_time_with_abnormal_long_term_variability', 'mean_value_of_long_term_variability', 'histogram_width', 'histogram_min', 'histogram_max', 'histogram_number_of_peaks', 'histogram_number_of_zeroes', 'histogram_mode', 'histogram_mean', 'histogram_median', 'histogram_variance', 'histogram_tendency', 'fetal_health']\n",
        "X = data[feature_columns]\n",
        "y = data[classification]\n",
        "\n",
        "# Replace '\\t?' with NaN\n",
        "X.replace('\\t?', np.nan, inplace=True)\n",
        "\n",
        "# Convert columns to numeric (assuming that they are numeric features)\n",
        "X = X.apply(pd.to_numeric, errors='coerce')\n",
        "\n",
        "# Impute missing values using the mean strategy\n",
        "imputer = SimpleImputer(strategy='mean')\n",
        "X_imputed = imputer.fit_transform(X)\n",
        "\n",
        "# Split the data into training and testing sets\n",
        "train_X, test_X, train_Y, test_Y = train_test_split(X_imputed, y, test_size=0.3, random_state=42)\n",
        "\n",
        "# Create a linear regression model\n",
        "model = LinearRegression()\n",
        "\n",
        "# Fit the model to the training data\n",
        "model.fit(train_X, train_Y)\n",
        "\n",
        "# Make predictions on the test set\n",
        "prediction = model.predict(test_X)\n",
        "\n",
        "# Convert predictions to discrete classes (assuming a classification scenario)\n",
        "predictions_classes = np.round(predictions).astype(int)\n",
        "\n",
        "# Evaluate the model using accuracy (not typical for linear regression)\n",
        "accuracy = accuracy_score(test_Y, predictions_classes)\n",
        "\n",
        "\n",
        "# Evaluate the model using various metrics\n",
        "mse = mean_squared_error(test_Y, prediction)\n",
        "rmse = mean_squared_error(test_Y, prediction, squared=False)\n",
        "mae = mean_absolute_error(test_Y, prediction)\n",
        "r_squared = r2_score(test_Y, prediction)\n",
        "\n",
        "print('Linear Regression Accuracy:', accuracy)\n",
        "print('Mean squared Error:', mse)\n",
        "print('Root Mean squared Error:', rmse)\n",
        "print('Mean Absolute Error:', mae)\n",
        "print('R-squared:', r_squared)\n"
      ]
    }
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