2) Classification Models/Support Vector Machines (SVM)/Support_Vector_Machine.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!wget \"https://raw.githubusercontent.com/pradeep-016/ML_Course/refs/heads/main/2)%20Classification%20Models/Support%20Vector%20Machines%20(SVM)/cerv_cancer.json\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ez7jk2r07L7Q",
        "outputId": "165251b3-9dd0-429f-a877-b3bf621adbb4"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2024-11-29 07:58:39--  https://raw.githubusercontent.com/pradeep-016/ML_Course/refs/heads/main/2)%20Classification%20Models/Support%20Vector%20Machines%20(SVM)/cerv_cancer.json\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.111.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 979901 (957K) [text/plain]\n",
            "Saving to: ‘cerv_cancer.json’\n",
            "\n",
            "cerv_cancer.json    100%[===================>] 956.93K  --.-KB/s    in 0.06s   \n",
            "\n",
            "2024-11-29 07:58:40 (16.3 MB/s) - ‘cerv_cancer.json’ saved [979901/979901]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.impute import SimpleImputer\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from imblearn.over_sampling import SMOTE\n",
        "from imblearn.pipeline import Pipeline as imbalanced_Pipeline\n",
        "from sklearn.metrics import classification_report, confusion_matrix,accuracy_score"
      ],
      "metadata": {
        "id": "jCFVPrE5p-7F"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_json('/content/cerv_cancer.json')"
      ],
      "metadata": {
        "id": "FA1ZQDK1sW8z"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 412
        },
        "id": "Yp4XbRytsd58",
        "outputId": "bdf27821-d043-4c59-ee5b-1b0a224d5f4d"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Age Number of sexual partners First sexual intercourse Num of pregnancies  \\\n",
              "0   18                         4                       15                  1   \n",
              "1   15                         1                       14                  1   \n",
              "2   34                         1                        ?                  1   \n",
              "3   52                         5                       16                  4   \n",
              "4   46                         3                       21                  4   \n",
              "\n",
              "  Smokes Smokes (years)    Smokes (packs Hormonal Contraceptives  \\\n",
              "0      0              0   {'year)': '0'}                       0   \n",
              "1      0              0   {'year)': '0'}                       0   \n",
              "2      0              0   {'year)': '0'}                       0   \n",
              "3      1             37  {'year)': '37'}                       1   \n",
              "4      0              0   {'year)': '0'}                       1   \n",
              "\n",
              "  Hormonal Contraceptives (years) IUD  ... STDs: Time since first diagnosis  \\\n",
              "0                               0   0  ...                                ?   \n",
              "1                               0   0  ...                                ?   \n",
              "2                               0   0  ...                                ?   \n",
              "3                               3   0  ...                                ?   \n",
              "4                              15   0  ...                                ?   \n",
              "\n",
              "  STDs: Time since last diagnosis Dx:Cancer Dx:CIN Dx:HPV Dx Hinselmann  \\\n",
              "0                               ?         0      0      0  0          0   \n",
              "1                               ?         0      0      0  0          0   \n",
              "2                               ?         0      0      0  0          0   \n",
              "3                               ?         1      0      1  0          0   \n",
              "4                               ?         0      0      0  0          0   \n",
              "\n",
              "  Schiller Citology Biopsy  \n",
              "0        0        0      0  \n",
              "1        0        0      0  \n",
              "2        0        0      0  \n",
              "3        0        0      0  \n",
              "4        0        0      0  \n",
              "\n",
              "[5 rows x 36 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b915ff10-c479-4d5a-8dd6-6c4f1aa9eaa1\" class=\"colab-df-container\">\n",
              "    <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>Age</th>\n",
              "      <th>Number of sexual partners</th>\n",
              "      <th>First sexual intercourse</th>\n",
              "      <th>Num of pregnancies</th>\n",
              "      <th>Smokes</th>\n",
              "      <th>Smokes (years)</th>\n",
              "      <th>Smokes (packs</th>\n",
              "      <th>Hormonal Contraceptives</th>\n",
              "      <th>Hormonal Contraceptives (years)</th>\n",
              "      <th>IUD</th>\n",
              "      <th>...</th>\n",
              "      <th>STDs: Time since first diagnosis</th>\n",
              "      <th>STDs: Time since last diagnosis</th>\n",
              "      <th>Dx:Cancer</th>\n",
              "      <th>Dx:CIN</th>\n",
              "      <th>Dx:HPV</th>\n",
              "      <th>Dx</th>\n",
              "      <th>Hinselmann</th>\n",
              "      <th>Schiller</th>\n",
              "      <th>Citology</th>\n",
              "      <th>Biopsy</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>18</td>\n",
              "      <td>4</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>{'year)': '0'}</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>?</td>\n",
              "      <td>?</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>{'year)': '0'}</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>?</td>\n",
              "      <td>?</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>34</td>\n",
              "      <td>1</td>\n",
              "      <td>?</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>{'year)': '0'}</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>?</td>\n",
              "      <td>?</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>52</td>\n",
              "      <td>5</td>\n",
              "      <td>16</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>37</td>\n",
              "      <td>{'year)': '37'}</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>?</td>\n",
              "      <td>?</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>46</td>\n",
              "      <td>3</td>\n",
              "      <td>21</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>{'year)': '0'}</td>\n",
              "      <td>1</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>?</td>\n",
              "      <td>?</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 36 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b915ff10-c479-4d5a-8dd6-6c4f1aa9eaa1')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-b915ff10-c479-4d5a-8dd6-6c4f1aa9eaa1 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-b915ff10-c479-4d5a-8dd6-6c4f1aa9eaa1');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-594e5b3c-68de-4f92-8850-3b19b6663625\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-594e5b3c-68de-4f92-8850-3b19b6663625')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-594e5b3c-68de-4f92-8850-3b19b6663625 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N_sDUyiNsoFO",
        "outputId": "bc3c5c99-386a-407a-a593-d49b1acfab72"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 968 entries, 0 to 967\n",
            "Data columns (total 36 columns):\n",
            " #   Column                              Non-Null Count  Dtype \n",
            "---  ------                              --------------  ----- \n",
            " 0   Age                                 968 non-null    int64 \n",
            " 1   Number of sexual partners           968 non-null    object\n",
            " 2   First sexual intercourse            968 non-null    object\n",
            " 3   Num of pregnancies                  968 non-null    object\n",
            " 4   Smokes                              968 non-null    object\n",
            " 5   Smokes (years)                      968 non-null    object\n",
            " 6   Smokes (packs                       968 non-null    object\n",
            " 7   Hormonal Contraceptives             968 non-null    object\n",
            " 8   Hormonal Contraceptives (years)     968 non-null    object\n",
            " 9   IUD                                 968 non-null    object\n",
            " 10  IUD (years)                         968 non-null    object\n",
            " 11  STDs                                968 non-null    object\n",
            " 12  STDs (number)                       968 non-null    object\n",
            " 13  STDs:condylomatosis                 968 non-null    object\n",
            " 14  STDs:cervical condylomatosis        968 non-null    object\n",
            " 15  STDs:vaginal condylomatosis         968 non-null    object\n",
            " 16  STDs:vulvo-perineal condylomatosis  968 non-null    object\n",
            " 17  STDs:syphilis                       968 non-null    object\n",
            " 18  STDs:pelvic inflammatory disease    968 non-null    object\n",
            " 19  STDs:genital herpes                 968 non-null    object\n",
            " 20  STDs:molluscum contagiosum          968 non-null    object\n",
            " 21  STDs:AIDS                           968 non-null    object\n",
            " 22  STDs:HIV                            968 non-null    object\n",
            " 23  STDs:Hepatitis B                    968 non-null    object\n",
            " 24  STDs:HPV                            968 non-null    object\n",
            " 25  STDs: Number of diagnosis           968 non-null    int64 \n",
            " 26  STDs: Time since first diagnosis    968 non-null    object\n",
            " 27  STDs: Time since last diagnosis     968 non-null    object\n",
            " 28  Dx:Cancer                           968 non-null    int64 \n",
            " 29  Dx:CIN                              968 non-null    int64 \n",
            " 30  Dx:HPV                              968 non-null    int64 \n",
            " 31  Dx                                  968 non-null    int64 \n",
            " 32  Hinselmann                          968 non-null    int64 \n",
            " 33  Schiller                            968 non-null    int64 \n",
            " 34  Citology                            968 non-null    int64 \n",
            " 35  Biopsy                              968 non-null    int64 \n",
            "dtypes: int64(10), object(26)\n",
            "memory usage: 272.4+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cols_to_numeric = [\n",
        "    'Number of sexual partners', 'First sexual intercourse', 'Num of pregnancies',\n",
        "    'Smokes (years)', 'Hormonal Contraceptives (years)', 'IUD (years)',\n",
        "    'STDs (number)', 'STDs: Time since first diagnosis', 'STDs: Time since last diagnosis'\n",
        "]"
      ],
      "metadata": {
        "id": "P6YQ-83h3Zdt"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data[cols_to_numeric] = data[cols_to_numeric].apply(pd.to_numeric, errors='coerce')"
      ],
      "metadata": {
        "id": "k0c2Ls9W3f6c"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(data.isnull().sum())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A3UYviIV3ixN",
        "outputId": "e6c6ea64-599c-441b-a14c-c869e6d26c4e"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Age                                     0\n",
            "Number of sexual partners              29\n",
            "First sexual intercourse               10\n",
            "Num of pregnancies                     70\n",
            "Smokes                                  0\n",
            "Smokes (years)                         16\n",
            "Smokes (packs                           0\n",
            "Hormonal Contraceptives                 0\n",
            "Hormonal Contraceptives (years)       122\n",
            "IUD                                     0\n",
            "IUD (years)                           133\n",
            "STDs                                    0\n",
            "STDs (number)                         122\n",
            "STDs:condylomatosis                     0\n",
            "STDs:cervical condylomatosis            0\n",
            "STDs:vaginal condylomatosis             0\n",
            "STDs:vulvo-perineal condylomatosis      0\n",
            "STDs:syphilis                           0\n",
            "STDs:pelvic inflammatory disease        0\n",
            "STDs:genital herpes                     0\n",
            "STDs:molluscum contagiosum              0\n",
            "STDs:AIDS                               0\n",
            "STDs:HIV                                0\n",
            "STDs:Hepatitis B                        0\n",
            "STDs:HPV                                0\n",
            "STDs: Number of diagnosis               0\n",
            "STDs: Time since first diagnosis      889\n",
            "STDs: Time since last diagnosis       889\n",
            "Dx:Cancer                               0\n",
            "Dx:CIN                                  0\n",
            "Dx:HPV                                  0\n",
            "Dx                                      0\n",
            "Hinselmann                              0\n",
            "Schiller                                0\n",
            "Citology                                0\n",
            "Biopsy                                  0\n",
            "dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def extract_value(val):\n",
        "    if isinstance(val, dict):\n",
        "        return val.get('year)', np.nan)\n",
        "        return val"
      ],
      "metadata": {
        "id": "P8mhSeWV4RLS"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['Smokes (packs'] = data['Smokes (packs'].apply(extract_value)"
      ],
      "metadata": {
        "id": "0FXl0S7D4U23"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = data.drop('Dx:Cancer', axis=1)\n",
        "y = data['Dx:Cancer']"
      ],
      "metadata": {
        "id": "KGCm0h1c3k0R"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "numerical_cols = X.select_dtypes(include=['int64', 'float64']).columns.tolist()\n",
        "categorical_cols = X.select_dtypes(include=['object']).columns.tolist()"
      ],
      "metadata": {
        "id": "7AuFJ1aX36eD"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "numerical_transformer = Pipeline(steps=[\n",
        "    ('imputer', SimpleImputer(strategy='median')),\n",
        "    ('scaler', StandardScaler())\n",
        "])"
      ],
      "metadata": {
        "id": "ZTaGJehO4sMP"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "categorical_transformer = Pipeline(steps=[\n",
        "    ('imputer', SimpleImputer(strategy='most_frequent')),\n",
        "    ('onehot', OneHotEncoder(handle_unknown='ignore'))\n",
        "])"
      ],
      "metadata": {
        "id": "0OjOfYFe4wh1"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "preprocessor = ColumnTransformer(\n",
        "    transformers=[\n",
        "        ('num', numerical_transformer, numerical_cols),\n",
        "        ('cat', categorical_transformer, categorical_cols)\n",
        "    ]\n",
        ")"
      ],
      "metadata": {
        "id": "JZoWPiWc4z1I"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "smote = SMOTE(sampling_strategy='auto', random_state=42)"
      ],
      "metadata": {
        "id": "wU0KX-lk41wU"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = imbalanced_Pipeline([\n",
        "    ('preprocessor', preprocessor),\n",
        "    ('smote', smote),\n",
        "    ('classifier', SVC(class_weight='balanced'))\n",
        "])"
      ],
      "metadata": {
        "id": "WaFXxjbY43ub"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)"
      ],
      "metadata": {
        "id": "EwtU3uzH47rl"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "444yA8uO49-7",
        "outputId": "dea714f6-ea31-4730-bc37-d07dd1417f2f"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Pipeline(steps=[('preprocessor',\n",
              "                 ColumnTransformer(transformers=[('num',\n",
              "                                                  Pipeline(steps=[('imputer',\n",
              "                                                                   SimpleImputer(strategy='median')),\n",
              "                                                                  ('scaler',\n",
              "                                                                   StandardScaler())]),\n",
              "                                                  ['Age',\n",
              "                                                   'Number of sexual partners',\n",
              "                                                   'First sexual intercourse',\n",
              "                                                   'Num of pregnancies',\n",
              "                                                   'Smokes (years)',\n",
              "                                                   'Hormonal Contraceptives '\n",
              "                                                   '(years)',\n",
              "                                                   'IUD (years)',\n",
              "                                                   'STDs (number)',\n",
              "                                                   'STDs: Number of diagnosis',\n",
              "                                                   'STDs: Tim...\n",
              "                                                   'STDs:condylomatosis',\n",
              "                                                   'STDs:cervical '\n",
              "                                                   'condylomatosis',\n",
              "                                                   'STDs:vaginal '\n",
              "                                                   'condylomatosis',\n",
              "                                                   'STDs:vulvo-perineal '\n",
              "                                                   'condylomatosis',\n",
              "                                                   'STDs:syphilis',\n",
              "                                                   'STDs:pelvic inflammatory '\n",
              "                                                   'disease',\n",
              "                                                   'STDs:genital herpes',\n",
              "                                                   'STDs:molluscum contagiosum',\n",
              "                                                   'STDs:AIDS', 'STDs:HIV',\n",
              "                                                   'STDs:Hepatitis B',\n",
              "                                                   'STDs:HPV'])])),\n",
              "                ('smote', SMOTE(random_state=42)),\n",
              "                ('classifier', SVC(class_weight='balanced'))])"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: black;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-1 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-1 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: block;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-1 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-1 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 1ex;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-1 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;preprocessor&#x27;,\n",
              "                 ColumnTransformer(transformers=[(&#x27;num&#x27;,\n",
              "                                                  Pipeline(steps=[(&#x27;imputer&#x27;,\n",
              "                                                                   SimpleImputer(strategy=&#x27;median&#x27;)),\n",
              "                                                                  (&#x27;scaler&#x27;,\n",
              "                                                                   StandardScaler())]),\n",
              "                                                  [&#x27;Age&#x27;,\n",
              "                                                   &#x27;Number of sexual partners&#x27;,\n",
              "                                                   &#x27;First sexual intercourse&#x27;,\n",
              "                                                   &#x27;Num of pregnancies&#x27;,\n",
              "                                                   &#x27;Smokes (years)&#x27;,\n",
              "                                                   &#x27;Hormonal Contraceptives &#x27;\n",
              "                                                   &#x27;(years)&#x27;,\n",
              "                                                   &#x27;IUD (years)&#x27;,\n",
              "                                                   &#x27;STDs (number)&#x27;,\n",
              "                                                   &#x27;STDs: Number of diagnosis&#x27;,\n",
              "                                                   &#x27;STDs: Tim...\n",
              "                                                   &#x27;STDs:condylomatosis&#x27;,\n",
              "                                                   &#x27;STDs:cervical &#x27;\n",
              "                                                   &#x27;condylomatosis&#x27;,\n",
              "                                                   &#x27;STDs:vaginal &#x27;\n",
              "                                                   &#x27;condylomatosis&#x27;,\n",
              "                                                   &#x27;STDs:vulvo-perineal &#x27;\n",
              "                                                   &#x27;condylomatosis&#x27;,\n",
              "                                                   &#x27;STDs:syphilis&#x27;,\n",
              "                                                   &#x27;STDs:pelvic inflammatory &#x27;\n",
              "                                                   &#x27;disease&#x27;,\n",
              "                                                   &#x27;STDs:genital herpes&#x27;,\n",
              "                                                   &#x27;STDs:molluscum contagiosum&#x27;,\n",
              "                                                   &#x27;STDs:AIDS&#x27;, &#x27;STDs:HIV&#x27;,\n",
              "                                                   &#x27;STDs:Hepatitis B&#x27;,\n",
              "                                                   &#x27;STDs:HPV&#x27;])])),\n",
              "                (&#x27;smote&#x27;, SMOTE(random_state=42)),\n",
              "                (&#x27;classifier&#x27;, SVC(class_weight=&#x27;balanced&#x27;))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;Pipeline<span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>Pipeline(steps=[(&#x27;preprocessor&#x27;,\n",
              "                 ColumnTransformer(transformers=[(&#x27;num&#x27;,\n",
              "                                                  Pipeline(steps=[(&#x27;imputer&#x27;,\n",
              "                                                                   SimpleImputer(strategy=&#x27;median&#x27;)),\n",
              "                                                                  (&#x27;scaler&#x27;,\n",
              "                                                                   StandardScaler())]),\n",
              "                                                  [&#x27;Age&#x27;,\n",
              "                                                   &#x27;Number of sexual partners&#x27;,\n",
              "                                                   &#x27;First sexual intercourse&#x27;,\n",
              "                                                   &#x27;Num of pregnancies&#x27;,\n",
              "                                                   &#x27;Smokes (years)&#x27;,\n",
              "                                                   &#x27;Hormonal Contraceptives &#x27;\n",
              "                                                   &#x27;(years)&#x27;,\n",
              "                                                   &#x27;IUD (years)&#x27;,\n",
              "                                                   &#x27;STDs (number)&#x27;,\n",
              "                                                   &#x27;STDs: Number of diagnosis&#x27;,\n",
              "                                                   &#x27;STDs: Tim...\n",
              "                                                   &#x27;STDs:condylomatosis&#x27;,\n",
              "                                                   &#x27;STDs:cervical &#x27;\n",
              "                                                   &#x27;condylomatosis&#x27;,\n",
              "                                                   &#x27;STDs:vaginal &#x27;\n",
              "                                                   &#x27;condylomatosis&#x27;,\n",
              "                                                   &#x27;STDs:vulvo-perineal &#x27;\n",
              "                                                   &#x27;condylomatosis&#x27;,\n",
              "                                                   &#x27;STDs:syphilis&#x27;,\n",
              "                                                   &#x27;STDs:pelvic inflammatory &#x27;\n",
              "                                                   &#x27;disease&#x27;,\n",
              "                                                   &#x27;STDs:genital herpes&#x27;,\n",
              "                                                   &#x27;STDs:molluscum contagiosum&#x27;,\n",
              "                                                   &#x27;STDs:AIDS&#x27;, &#x27;STDs:HIV&#x27;,\n",
              "                                                   &#x27;STDs:Hepatitis B&#x27;,\n",
              "                                                   &#x27;STDs:HPV&#x27;])])),\n",
              "                (&#x27;smote&#x27;, SMOTE(random_state=42)),\n",
              "                (&#x27;classifier&#x27;, SVC(class_weight=&#x27;balanced&#x27;))])</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;preprocessor: ColumnTransformer<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for preprocessor: ColumnTransformer</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>ColumnTransformer(transformers=[(&#x27;num&#x27;,\n",
              "                                 Pipeline(steps=[(&#x27;imputer&#x27;,\n",
              "                                                  SimpleImputer(strategy=&#x27;median&#x27;)),\n",
              "                                                 (&#x27;scaler&#x27;, StandardScaler())]),\n",
              "                                 [&#x27;Age&#x27;, &#x27;Number of sexual partners&#x27;,\n",
              "                                  &#x27;First sexual intercourse&#x27;,\n",
              "                                  &#x27;Num of pregnancies&#x27;, &#x27;Smokes (years)&#x27;,\n",
              "                                  &#x27;Hormonal Contraceptives (years)&#x27;,\n",
              "                                  &#x27;IUD (years)&#x27;, &#x27;STDs (number)&#x27;,\n",
              "                                  &#x27;STDs: Number of diagnosis&#x27;,\n",
              "                                  &#x27;STDs: Time since first diagnosis&#x27;,\n",
              "                                  &#x27;STDs: Time si...\n",
              "                                                  OneHotEncoder(handle_unknown=&#x27;ignore&#x27;))]),\n",
              "                                 [&#x27;Smokes&#x27;, &#x27;Smokes (packs&#x27;,\n",
              "                                  &#x27;Hormonal Contraceptives&#x27;, &#x27;IUD&#x27;, &#x27;STDs&#x27;,\n",
              "                                  &#x27;STDs:condylomatosis&#x27;,\n",
              "                                  &#x27;STDs:cervical condylomatosis&#x27;,\n",
              "                                  &#x27;STDs:vaginal condylomatosis&#x27;,\n",
              "                                  &#x27;STDs:vulvo-perineal condylomatosis&#x27;,\n",
              "                                  &#x27;STDs:syphilis&#x27;,\n",
              "                                  &#x27;STDs:pelvic inflammatory disease&#x27;,\n",
              "                                  &#x27;STDs:genital herpes&#x27;,\n",
              "                                  &#x27;STDs:molluscum contagiosum&#x27;, &#x27;STDs:AIDS&#x27;,\n",
              "                                  &#x27;STDs:HIV&#x27;, &#x27;STDs:Hepatitis B&#x27;,\n",
              "                                  &#x27;STDs:HPV&#x27;])])</pre></div> </div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">num</label><div class=\"sk-toggleable__content fitted\"><pre>[&#x27;Age&#x27;, &#x27;Number of sexual partners&#x27;, &#x27;First sexual intercourse&#x27;, &#x27;Num of pregnancies&#x27;, &#x27;Smokes (years)&#x27;, &#x27;Hormonal Contraceptives (years)&#x27;, &#x27;IUD (years)&#x27;, &#x27;STDs (number)&#x27;, &#x27;STDs: Number of diagnosis&#x27;, &#x27;STDs: Time since first diagnosis&#x27;, &#x27;STDs: Time since last diagnosis&#x27;, &#x27;Dx:CIN&#x27;, &#x27;Dx:HPV&#x27;, &#x27;Dx&#x27;, &#x27;Hinselmann&#x27;, &#x27;Schiller&#x27;, &#x27;Citology&#x27;, &#x27;Biopsy&#x27;]</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;SimpleImputer<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.impute.SimpleImputer.html\">?<span>Documentation for SimpleImputer</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>SimpleImputer(strategy=&#x27;median&#x27;)</pre></div> </div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;StandardScaler<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>StandardScaler()</pre></div> </div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">cat</label><div class=\"sk-toggleable__content fitted\"><pre>[&#x27;Smokes&#x27;, &#x27;Smokes (packs&#x27;, &#x27;Hormonal Contraceptives&#x27;, &#x27;IUD&#x27;, &#x27;STDs&#x27;, &#x27;STDs:condylomatosis&#x27;, &#x27;STDs:cervical condylomatosis&#x27;, &#x27;STDs:vaginal condylomatosis&#x27;, &#x27;STDs:vulvo-perineal condylomatosis&#x27;, &#x27;STDs:syphilis&#x27;, &#x27;STDs:pelvic inflammatory disease&#x27;, &#x27;STDs:genital herpes&#x27;, &#x27;STDs:molluscum contagiosum&#x27;, &#x27;STDs:AIDS&#x27;, &#x27;STDs:HIV&#x27;, &#x27;STDs:Hepatitis B&#x27;, &#x27;STDs:HPV&#x27;]</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;SimpleImputer<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.impute.SimpleImputer.html\">?<span>Documentation for SimpleImputer</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>SimpleImputer(strategy=&#x27;most_frequent&#x27;)</pre></div> </div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;OneHotEncoder<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.OneHotEncoder.html\">?<span>Documentation for OneHotEncoder</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>OneHotEncoder(handle_unknown=&#x27;ignore&#x27;)</pre></div> </div></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">SMOTE</label><div class=\"sk-toggleable__content fitted\"><pre>SMOTE(random_state=42)</pre></div> </div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" ><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;SVC<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.svm.SVC.html\">?<span>Documentation for SVC</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>SVC(class_weight=&#x27;balanced&#x27;)</pre></div> </div></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_pred = model.predict(X_test)"
      ],
      "metadata": {
        "id": "dwVYRD8y5ADN"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Classification Report:\")\n",
        "print(classification_report(y_test, y_pred))\n",
        "\n",
        "print(\"Confusion Matrix:\")\n",
        "print(confusion_matrix(y_test, y_pred))\n",
        "\n",
        "ac = accuracy_score(y_test, y_pred)\n",
        "print(\"Accuracy:\", ac)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wpkYq05G5CdH",
        "outputId": "0b05b56e-817d-4af3-a8a3-05e6a40fae25"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Classification Report:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      0.99      0.99       189\n",
            "           1       0.71      1.00      0.83         5\n",
            "\n",
            "    accuracy                           0.99       194\n",
            "   macro avg       0.86      0.99      0.91       194\n",
            "weighted avg       0.99      0.99      0.99       194\n",
            "\n",
            "Confusion Matrix:\n",
            "[[187   2]\n",
            " [  0   5]]\n",
            "Accuracy: 0.9896907216494846\n"
          ]
        }
      ]
    }
  ]
}