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NVD.ipynb

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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "\n",
+        "# Novel Variation Detection\n",
+        "\n"
+      ],
+      "metadata": {
+        "id": "BnYTwM3OivB4"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "id": "L96SNQ8HVI7m"
+      },
+      "outputs": [],
+      "source": [
+        "# imports\n",
+        "import tensorflow as tf\n",
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "from sklearn.preprocessing import StandardScaler\n",
+        "from imblearn.over_sampling import RandomOverSampler\n",
+        "import seaborn as sns\n",
+        "from sklearn.model_selection import train_test_split"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# using drive to load our dataset\n",
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Ea3adROCVORJ",
+        "outputId": "eceb945e-4488-4ac0-ba2a-50005e6a95ef"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Mounted at /content/drive\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df=pd.read_csv('/content/drive/MyDrive/dataset/lc.csv')\n",
+        "del df['YELLOW_FINGERS'],df['ANXIETY'],df['CHRONIC DISEASE'],df['SHORTNESS OF BREATH'],df['SWALLOWING DIFFICULTY'],df['FATIGUE ']\n",
+        "df"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423
+        },
+        "id": "mFDmqdaodqI4",
+        "outputId": "97d8ae49-21ef-4c8f-82c2-719f721b6c40"
+      },
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "    GENDER  AGE  SMOKING  PEER_PRESSURE  ALLERGY   WHEEZING  \\\n",
+              "0        M   69        1              1         1         2   \n",
+              "1        M   74        2              1         2         1   \n",
+              "2        F   59        1              2         1         2   \n",
+              "3        M   63        2              1         1         1   \n",
+              "4        F   63        1              1         1         2   \n",
+              "..     ...  ...      ...            ...       ...       ...   \n",
+              "304      F   56        1              2         1         1   \n",
+              "305      M   70        2              1         2         2   \n",
+              "306      M   58        2              1         2         2   \n",
+              "307      M   67        2              1         2         1   \n",
+              "308      M   62        1              2         2         2   \n",
+              "\n",
+              "     ALCOHOL CONSUMING  COUGHING  CHEST PAIN LUNG_CANCER  \n",
+              "0                    2         2           2         YES  \n",
+              "1                    1         1           2         YES  \n",
+              "2                    1         2           2          NO  \n",
+              "3                    2         1           2          NO  \n",
+              "4                    1         2           1          NO  \n",
+              "..                 ...       ...         ...         ...  \n",
+              "304                  2         2           1         YES  \n",
+              "305                  2         2           2         YES  \n",
+              "306                  2         2           2         YES  \n",
+              "307                  2         2           2         YES  \n",
+              "308                  2         1           1         YES  \n",
+              "\n",
+              "[309 rows x 10 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-c7539b45-46f0-495b-bf9f-03cd23a83a10\" 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",
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+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
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+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>GENDER</th>\n",
+              "      <th>AGE</th>\n",
+              "      <th>SMOKING</th>\n",
+              "      <th>PEER_PRESSURE</th>\n",
+              "      <th>ALLERGY</th>\n",
+              "      <th>WHEEZING</th>\n",
+              "      <th>ALCOHOL CONSUMING</th>\n",
+              "      <th>COUGHING</th>\n",
+              "      <th>CHEST PAIN</th>\n",
+              "      <th>LUNG_CANCER</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
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+              "      <th>3</th>\n",
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+              "      <td>63</td>\n",
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+              "      <td>1</td>\n",
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+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>NO</td>\n",
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+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>F</td>\n",
+              "      <td>63</td>\n",
+              "      <td>1</td>\n",
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+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
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+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
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+              "      <td>...</td>\n",
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+              "      <td>...</td>\n",
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+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
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+              "      <th>304</th>\n",
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+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
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+              "      <td>2</td>\n",
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+              "      <td>2</td>\n",
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+              "      <td>2</td>\n",
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+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>YES</td>\n",
+              "    </tr>\n",
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+              "      <th>308</th>\n",
+              "      <td>M</td>\n",
+              "      <td>62</td>\n",
+              "      <td>1</td>\n",
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+              "      <td>1</td>\n",
+              "      <td>YES</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>309 rows × 10 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-c7539b45-46f0-495b-bf9f-03cd23a83a10')\"\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",
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+              "      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-c7539b45-46f0-495b-bf9f-03cd23a83a10 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-c7539b45-46f0-495b-bf9f-03cd23a83a10');\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-e7e82956-8747-45c0-91db-a1e7ecccb698\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e7e82956-8747-45c0-91db-a1e7ecccb698')\"\n",
+              "            title=\"Suggest charts\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
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+              "    </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",
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+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
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+              "      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-e7e82956-8747-45c0-91db-a1e7ecccb698 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "  <div id=\"id_c34f5a5a-e248-4244-b2ee-571943b24671\">\n",
+              "    <style>\n",
+              "      .colab-df-generate {\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",
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+              "\n",
+              "      .colab-df-generate: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",
+              "      [theme=dark] .colab-df-generate {\n",
+              "        background-color: #3B4455;\n",
+              "        fill: #D2E3FC;\n",
+              "      }\n",
+              "\n",
+              "      [theme=dark] .colab-df-generate: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",
+              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
+              "            title=\"Generate code using this dataframe.\"\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",
+              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "    <script>\n",
+              "      (() => {\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#id_c34f5a5a-e248-4244-b2ee-571943b24671 button.colab-df-generate');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      buttonEl.onclick = () => {\n",
+              "        google.colab.notebook.generateWithVariable('df');\n",
+              "      }\n",
+              "      })();\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 309,\n  \"fields\": [\n    {\n      \"column\": \"GENDER\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"F\",\n          \"M\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AGE\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8,\n        \"min\": 21,\n        \"max\": 87,\n        \"num_unique_values\": 39,\n        \"samples\": [\n          81,\n          39\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SMOKING\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          2,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PEER_PRESSURE\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          2,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ALLERGY \",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          2,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"WHEEZING\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ALCOHOL CONSUMING\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COUGHING\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CHEST PAIN\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LUNG_CANCER\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"NO\",\n          \"YES\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 10
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df['GENDER']=(df['GENDER']=='M').astype(int)\n",
+        "df['LUNG_CANCER']=(df['LUNG_CANCER']=='YES').astype(int)"
+      ],
+      "metadata": {
+        "id": "ENltExbBeKTj"
+      },
+      "execution_count": 11,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "del df['COUGHING']\n",
+        "df"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423
+        },
+        "id": "4kWj9yKchhyY",
+        "outputId": "46230399-ba0a-45aa-8ebb-295d18e4ade9"
+      },
+      "execution_count": 13,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "     GENDER  AGE  SMOKING  PEER_PRESSURE  ALLERGY   WHEEZING  \\\n",
+              "0         1   69        1              1         1         2   \n",
+              "1         1   74        2              1         2         1   \n",
+              "2         0   59        1              2         1         2   \n",
+              "3         1   63        2              1         1         1   \n",
+              "4         0   63        1              1         1         2   \n",
+              "..      ...  ...      ...            ...       ...       ...   \n",
+              "304       0   56        1              2         1         1   \n",
+              "305       1   70        2              1         2         2   \n",
+              "306       1   58        2              1         2         2   \n",
+              "307       1   67        2              1         2         1   \n",
+              "308       1   62        1              2         2         2   \n",
+              "\n",
+              "     ALCOHOL CONSUMING  CHEST PAIN  LUNG_CANCER  \n",
+              "0                    2           2            1  \n",
+              "1                    1           2            1  \n",
+              "2                    1           2            0  \n",
+              "3                    2           2            0  \n",
+              "4                    1           1            0  \n",
+              "..                 ...         ...          ...  \n",
+              "304                  2           1            1  \n",
+              "305                  2           2            1  \n",
+              "306                  2           2            1  \n",
+              "307                  2           2            1  \n",
+              "308                  2           1            1  \n",
+              "\n",
+              "[309 rows x 9 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-de1a2e77-d1ce-4564-8b7b-98d5e22312ac\" 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>GENDER</th>\n",
+              "      <th>AGE</th>\n",
+              "      <th>SMOKING</th>\n",
+              "      <th>PEER_PRESSURE</th>\n",
+              "      <th>ALLERGY</th>\n",
+              "      <th>WHEEZING</th>\n",
+              "      <th>ALCOHOL CONSUMING</th>\n",
+              "      <th>CHEST PAIN</th>\n",
+              "      <th>LUNG_CANCER</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1</td>\n",
+              "      <td>69</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>1</td>\n",
+              "      <td>74</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>0</td>\n",
+              "      <td>59</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1</td>\n",
+              "      <td>63</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>0</td>\n",
+              "      <td>63</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>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",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>304</th>\n",
+              "      <td>0</td>\n",
+              "      <td>56</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>305</th>\n",
+              "      <td>1</td>\n",
+              "      <td>70</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>306</th>\n",
+              "      <td>1</td>\n",
+              "      <td>58</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>307</th>\n",
+              "      <td>1</td>\n",
+              "      <td>67</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>308</th>\n",
+              "      <td>1</td>\n",
+              "      <td>62</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>309 rows × 9 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-de1a2e77-d1ce-4564-8b7b-98d5e22312ac')\"\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-de1a2e77-d1ce-4564-8b7b-98d5e22312ac 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-de1a2e77-d1ce-4564-8b7b-98d5e22312ac');\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-0f70520e-99cd-4a18-8410-43a98cb7cf2b\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0f70520e-99cd-4a18-8410-43a98cb7cf2b')\"\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",
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+              "    }\n",
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+              "\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-0f70520e-99cd-4a18-8410-43a98cb7cf2b button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "  <div id=\"id_9e259226-465f-43ac-b005-5fdc3592dd82\">\n",
+              "    <style>\n",
+              "      .colab-df-generate {\n",
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+              "        border-radius: 50%;\n",
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+              "        height: 32px;\n",
+              "        padding: 0 0 0 0;\n",
+              "        width: 32px;\n",
+              "      }\n",
+              "\n",
+              "      .colab-df-generate: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",
+              "      [theme=dark] .colab-df-generate {\n",
+              "        background-color: #3B4455;\n",
+              "        fill: #D2E3FC;\n",
+              "      }\n",
+              "\n",
+              "      [theme=dark] .colab-df-generate: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",
+              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
+              "            title=\"Generate code using this dataframe.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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+              "    </button>\n",
+              "    <script>\n",
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+              "        document.querySelector('#id_9e259226-465f-43ac-b005-5fdc3592dd82 button.colab-df-generate');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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+              "      buttonEl.onclick = () => {\n",
+              "        google.colab.notebook.generateWithVariable('df');\n",
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+              "      })();\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 309,\n  \"fields\": [\n    {\n      \"column\": \"GENDER\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AGE\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8,\n        \"min\": 21,\n        \"max\": 87,\n        \"num_unique_values\": 39,\n        \"samples\": [\n          81,\n          39\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SMOKING\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          2,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PEER_PRESSURE\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          2,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ALLERGY \",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          2,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"WHEEZING\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ALCOHOL CONSUMING\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CHEST PAIN\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LUNG_CANCER\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 13
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "x_data = df.drop(['LUNG_CANCER'], axis = 1)\n",
+        "y = df.LUNG_CANCER.values"
+      ],
+      "metadata": {
+        "id": "vA58b9OtWIDv"
+      },
+      "execution_count": 15,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "x_train, x_test, y_train, y_test = train_test_split(x_data, y, test_size = 0.2, random_state= 0)"
+      ],
+      "metadata": {
+        "id": "vK1Fycc-WqRj"
+      },
+      "execution_count": 16,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.naive_bayes import GaussianNB\n",
+        "nb = GaussianNB()\n",
+        "nb.fit(x_train, y_train)\n",
+        "print(\"NB accuracy: {:.2f}%\".format(nb.score(x_test, y_test)*100))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "TB8qV9OnkH_5",
+        "outputId": "9575529d-68e5-41d6-da78-9bb95dcf0865"
+      },
+      "execution_count": 17,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "NB accuracy: 85.48%\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "y_pred=nb.predict(x_test)"
+      ],
+      "metadata": {
+        "id": "M66dC8FOXNEt"
+      },
+      "execution_count": 18,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.metrics import classification_report\n",
+        "print(classification_report(y_pred,y_test))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "L06DnXKhXPzS",
+        "outputId": "cd79637c-876e-4d65-c515-f58c8b145481"
+      },
+      "execution_count": 19,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "              precision    recall  f1-score   support\n",
+            "\n",
+            "           0       0.50      0.56      0.53         9\n",
+            "           1       0.92      0.91      0.91        53\n",
+            "\n",
+            "    accuracy                           0.85        62\n",
+            "   macro avg       0.71      0.73      0.72        62\n",
+            "weighted avg       0.86      0.85      0.86        62\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pickle\n",
+        "\n",
+        "with open('nvd.pkl','wb') as f:\n",
+        "    pickle.dump(nb,f)\n",
+        "\n",
+        "# load\n",
+        "with open('nvd.pkl', 'rb') as f:\n",
+        "    nb = pickle.load(f)"
+      ],
+      "metadata": {
+        "id": "4IrkPQCLXhYw"
+      },
+      "execution_count": 21,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "50LcOxfPkm4H"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}

diabetes.csv

@@ -0,0 +1,769 @@
+Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age,Outcome
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heart.csv

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kcd.ipynb

@@ -0,0 +1,1306 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Kidney Condition Detection"
+      ],
+      "metadata": {
+        "id": "mWqGedZ2IHlm"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "id": "L96SNQ8HVI7m"
+      },
+      "outputs": [],
+      "source": [
+        "# imports\n",
+        "import tensorflow as tf\n",
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "from sklearn.preprocessing import StandardScaler\n",
+        "from imblearn.over_sampling import RandomOverSampler\n",
+        "import seaborn as sns\n",
+        "from sklearn.model_selection import train_test_split"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# using drive to load our dataset\n",
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Ea3adROCVORJ",
+        "outputId": "9fcec8fc-24df-4307-8efe-ad0bf7967226"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Mounted at /content/drive\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = pd.read_csv(\"/content/drive/MyDrive/dataset/kidney_disease.csv\")\n",
+        "del df['id'],df['sg'],df['al'],df['su'],df['rbc'],df['pc'],df['pcc'],df['pcv'],df['ba'],df['sc'],df['dm'],df['cad'],df['pe']\n",
+        "df"
+      ],
+      "metadata": {
+        "id": "puQFhXRM_inf",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423
+        },
+        "outputId": "8f6b8886-f61d-4b10-8eea-e1a38ecf8cc4"
+      },
+      "execution_count": 34,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "      age    bp    bgr    bu    sod  pot  hemo    wc   rc  htn appet  ane  \\\n",
+              "0    48.0  80.0  121.0  36.0    NaN  NaN  15.4  7800  5.2  yes  good   no   \n",
+              "1     7.0  50.0    NaN  18.0    NaN  NaN  11.3  6000  NaN   no  good   no   \n",
+              "2    62.0  80.0  423.0  53.0    NaN  NaN   9.6  7500  NaN   no  poor  yes   \n",
+              "3    48.0  70.0  117.0  56.0  111.0  2.5  11.2  6700  3.9  yes  poor  yes   \n",
+              "4    51.0  80.0  106.0  26.0    NaN  NaN  11.6  7300  4.6   no  good   no   \n",
+              "..    ...   ...    ...   ...    ...  ...   ...   ...  ...  ...   ...  ...   \n",
+              "395  55.0  80.0  140.0  49.0  150.0  4.9  15.7  6700  4.9   no  good   no   \n",
+              "396  42.0  70.0   75.0  31.0  141.0  3.5  16.5  7800  6.2   no  good   no   \n",
+              "397  12.0  80.0  100.0  26.0  137.0  4.4  15.8  6600  5.4   no  good   no   \n",
+              "398  17.0  60.0  114.0  50.0  135.0  4.9  14.2  7200  5.9   no  good   no   \n",
+              "399  58.0  80.0  131.0  18.0  141.0  3.5  15.8  6800  6.1   no  good   no   \n",
+              "\n",
+              "    classification  \n",
+              "0              ckd  \n",
+              "1              ckd  \n",
+              "2              ckd  \n",
+              "3              ckd  \n",
+              "4              ckd  \n",
+              "..             ...  \n",
+              "395         notckd  \n",
+              "396         notckd  \n",
+              "397         notckd  \n",
+              "398         notckd  \n",
+              "399         notckd  \n",
+              "\n",
+              "[400 rows x 13 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-3cb82063-36b1-440a-b39d-b75134a51920\" 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>bp</th>\n",
+              "      <th>bgr</th>\n",
+              "      <th>bu</th>\n",
+              "      <th>sod</th>\n",
+              "      <th>pot</th>\n",
+              "      <th>hemo</th>\n",
+              "      <th>wc</th>\n",
+              "      <th>rc</th>\n",
+              "      <th>htn</th>\n",
+              "      <th>appet</th>\n",
+              "      <th>ane</th>\n",
+              "      <th>classification</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>48.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>121.0</td>\n",
+              "      <td>36.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>15.4</td>\n",
+              "      <td>7800</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>good</td>\n",
+              "      <td>no</td>\n",
+              "      <td>ckd</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>7.0</td>\n",
+              "      <td>50.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>18.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>11.3</td>\n",
+              "      <td>6000</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>no</td>\n",
+              "      <td>good</td>\n",
+              "      <td>no</td>\n",
+              "      <td>ckd</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>62.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>423.0</td>\n",
+              "      <td>53.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>9.6</td>\n",
+              "      <td>7500</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>no</td>\n",
+              "      <td>poor</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>ckd</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>48.0</td>\n",
+              "      <td>70.0</td>\n",
+              "      <td>117.0</td>\n",
+              "      <td>56.0</td>\n",
+              "      <td>111.0</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>11.2</td>\n",
+              "      <td>6700</td>\n",
+              "      <td>3.9</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>poor</td>\n",
+              "      <td>yes</td>\n",
+              "      <td>ckd</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>51.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>106.0</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>11.6</td>\n",
+              "      <td>7300</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>no</td>\n",
+              "      <td>good</td>\n",
+              "      <td>no</td>\n",
+              "      <td>ckd</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",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>395</th>\n",
+              "      <td>55.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>140.0</td>\n",
+              "      <td>49.0</td>\n",
+              "      <td>150.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>15.7</td>\n",
+              "      <td>6700</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>no</td>\n",
+              "      <td>good</td>\n",
+              "      <td>no</td>\n",
+              "      <td>notckd</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>396</th>\n",
+              "      <td>42.0</td>\n",
+              "      <td>70.0</td>\n",
+              "      <td>75.0</td>\n",
+              "      <td>31.0</td>\n",
+              "      <td>141.0</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>16.5</td>\n",
+              "      <td>7800</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>no</td>\n",
+              "      <td>good</td>\n",
+              "      <td>no</td>\n",
+              "      <td>notckd</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>397</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>137.0</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>15.8</td>\n",
+              "      <td>6600</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>no</td>\n",
+              "      <td>good</td>\n",
+              "      <td>no</td>\n",
+              "      <td>notckd</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>398</th>\n",
+              "      <td>17.0</td>\n",
+              "      <td>60.0</td>\n",
+              "      <td>114.0</td>\n",
+              "      <td>50.0</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>14.2</td>\n",
+              "      <td>7200</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>no</td>\n",
+              "      <td>good</td>\n",
+              "      <td>no</td>\n",
+              "      <td>notckd</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>399</th>\n",
+              "      <td>58.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>131.0</td>\n",
+              "      <td>18.0</td>\n",
+              "      <td>141.0</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>15.8</td>\n",
+              "      <td>6800</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>no</td>\n",
+              "      <td>good</td>\n",
+              "      <td>no</td>\n",
+              "      <td>notckd</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>400 rows × 13 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-3cb82063-36b1-440a-b39d-b75134a51920')\"\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-3cb82063-36b1-440a-b39d-b75134a51920 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-3cb82063-36b1-440a-b39d-b75134a51920');\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-ee17b60b-5833-463e-b4f1-0a39ea00f855\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ee17b60b-5833-463e-b4f1-0a39ea00f855')\"\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-ee17b60b-5833-463e-b4f1-0a39ea00f855 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "  <div id=\"id_6406ffff-5542-4cc0-95b9-5452281b037d\">\n",
+              "    <style>\n",
+              "      .colab-df-generate {\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-generate: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",
+              "      [theme=dark] .colab-df-generate {\n",
+              "        background-color: #3B4455;\n",
+              "        fill: #D2E3FC;\n",
+              "      }\n",
+              "\n",
+              "      [theme=dark] .colab-df-generate: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",
+              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
+              "            title=\"Generate code using this dataframe.\"\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",
+              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "    <script>\n",
+              "      (() => {\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#id_6406ffff-5542-4cc0-95b9-5452281b037d button.colab-df-generate');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      buttonEl.onclick = () => {\n",
+              "        google.colab.notebook.generateWithVariable('df');\n",
+              "      }\n",
+              "      })();\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 400,\n  \"fields\": [\n    {\n      \"column\": \"age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 17.16971408926224,\n        \"min\": 2.0,\n        \"max\": 90.0,\n        \"num_unique_values\": 76,\n        \"samples\": [\n          60.0,\n          64.0,\n          63.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bp\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13.68363749352526,\n        \"min\": 50.0,\n        \"max\": 180.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          180.0,\n          50.0,\n          60.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bgr\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 79.28171423511773,\n        \"min\": 22.0,\n        \"max\": 490.0,\n        \"num_unique_values\": 146,\n        \"samples\": [\n          146.0,\n          273.0,\n          140.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bu\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 50.50300584922251,\n        \"min\": 1.5,\n        \"max\": 391.0,\n        \"num_unique_values\": 118,\n        \"samples\": [\n          48.0,\n          76.0,\n          26.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sod\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10.40875205179878,\n        \"min\": 4.5,\n        \"max\": 163.0,\n        \"num_unique_values\": 34,\n        \"samples\": [\n          133.0,\n          137.0,\n          124.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pot\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.193904176556695,\n        \"min\": 2.5,\n        \"max\": 47.0,\n        \"num_unique_values\": 40,\n        \"samples\": [\n          6.6,\n          5.9,\n          4.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hemo\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.9125866088267642,\n        \"min\": 3.1,\n        \"max\": 17.8,\n        \"num_unique_values\": 115,\n        \"samples\": [\n          6.3,\n          11.6,\n          4.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wc\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 92,\n        \"samples\": [\n          \"12500\",\n          \"6400\",\n          \"5000\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rc\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 49,\n        \"samples\": [\n          \"3.6\",\n          \"6.4\",\n          \"5.9\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"htn\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"no\",\n          \"yes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"appet\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"poor\",\n          \"good\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ane\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"yes\",\n          \"no\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"classification\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"ckd\",\n          \"ckd\\t\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 34
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df['htn']=(df['htn']=='yes').astype(int)\n",
+        "df['appet']=(df['appet']=='good').astype(int)\n",
+        "df['ane']=(df['ane']=='yes').astype(int)\n",
+        "df['classification']=(df['classification']=='ckd').astype(int)\n"
+      ],
+      "metadata": {
+        "id": "Rf9xpgMNEG3y"
+      },
+      "execution_count": 35,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df=df.fillna(0)"
+      ],
+      "metadata": {
+        "id": "V5Eelp9zFbUV"
+      },
+      "execution_count": 39,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df=df.drop([df.index[76],df.index[133],df.index[162],df.index[185]])"
+      ],
+      "metadata": {
+        "id": "u96jEKrBHH0G"
+      },
+      "execution_count": 40,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423
+        },
+        "id": "B4SayP5qHgwp",
+        "outputId": "8b5af7c5-3834-4bdc-b693-1e7e8f2cb8d9"
+      },
+      "execution_count": 41,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "      age    bp    bgr    bu    sod  pot  hemo    wc   rc  htn  appet  ane  \\\n",
+              "0    48.0  80.0  121.0  36.0    0.0  0.0  15.4  7800  5.2    1      1    0   \n",
+              "1     7.0  50.0    0.0  18.0    0.0  0.0  11.3  6000    0    0      1    0   \n",
+              "2    62.0  80.0  423.0  53.0    0.0  0.0   9.6  7500    0    0      0    1   \n",
+              "3    48.0  70.0  117.0  56.0  111.0  2.5  11.2  6700  3.9    1      0    1   \n",
+              "4    51.0  80.0  106.0  26.0    0.0  0.0  11.6  7300  4.6    0      1    0   \n",
+              "..    ...   ...    ...   ...    ...  ...   ...   ...  ...  ...    ...  ...   \n",
+              "395  55.0  80.0  140.0  49.0  150.0  4.9  15.7  6700  4.9    0      1    0   \n",
+              "396  42.0  70.0   75.0  31.0  141.0  3.5  16.5  7800  6.2    0      1    0   \n",
+              "397  12.0  80.0  100.0  26.0  137.0  4.4  15.8  6600  5.4    0      1    0   \n",
+              "398  17.0  60.0  114.0  50.0  135.0  4.9  14.2  7200  5.9    0      1    0   \n",
+              "399  58.0  80.0  131.0  18.0  141.0  3.5  15.8  6800  6.1    0      1    0   \n",
+              "\n",
+              "     classification  \n",
+              "0                 1  \n",
+              "1                 1  \n",
+              "2                 1  \n",
+              "3                 1  \n",
+              "4                 1  \n",
+              "..              ...  \n",
+              "395               0  \n",
+              "396               0  \n",
+              "397               0  \n",
+              "398               0  \n",
+              "399               0  \n",
+              "\n",
+              "[392 rows x 13 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-eae2b145-070f-4b07-b91d-171b0ab53ae5\" 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>bp</th>\n",
+              "      <th>bgr</th>\n",
+              "      <th>bu</th>\n",
+              "      <th>sod</th>\n",
+              "      <th>pot</th>\n",
+              "      <th>hemo</th>\n",
+              "      <th>wc</th>\n",
+              "      <th>rc</th>\n",
+              "      <th>htn</th>\n",
+              "      <th>appet</th>\n",
+              "      <th>ane</th>\n",
+              "      <th>classification</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>48.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>121.0</td>\n",
+              "      <td>36.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>15.4</td>\n",
+              "      <td>7800</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>7.0</td>\n",
+              "      <td>50.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>18.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>11.3</td>\n",
+              "      <td>6000</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>62.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>423.0</td>\n",
+              "      <td>53.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>9.6</td>\n",
+              "      <td>7500</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>48.0</td>\n",
+              "      <td>70.0</td>\n",
+              "      <td>117.0</td>\n",
+              "      <td>56.0</td>\n",
+              "      <td>111.0</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>11.2</td>\n",
+              "      <td>6700</td>\n",
+              "      <td>3.9</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>51.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>106.0</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>11.6</td>\n",
+              "      <td>7300</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</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",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>395</th>\n",
+              "      <td>55.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>140.0</td>\n",
+              "      <td>49.0</td>\n",
+              "      <td>150.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>15.7</td>\n",
+              "      <td>6700</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>396</th>\n",
+              "      <td>42.0</td>\n",
+              "      <td>70.0</td>\n",
+              "      <td>75.0</td>\n",
+              "      <td>31.0</td>\n",
+              "      <td>141.0</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>16.5</td>\n",
+              "      <td>7800</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>397</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>137.0</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>15.8</td>\n",
+              "      <td>6600</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>398</th>\n",
+              "      <td>17.0</td>\n",
+              "      <td>60.0</td>\n",
+              "      <td>114.0</td>\n",
+              "      <td>50.0</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>14.2</td>\n",
+              "      <td>7200</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>399</th>\n",
+              "      <td>58.0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>131.0</td>\n",
+              "      <td>18.0</td>\n",
+              "      <td>141.0</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>15.8</td>\n",
+              "      <td>6800</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>392 rows × 13 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-eae2b145-070f-4b07-b91d-171b0ab53ae5')\"\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",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
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+              "      cursor: pointer;\n",
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+              "      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-eae2b145-070f-4b07-b91d-171b0ab53ae5 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-eae2b145-070f-4b07-b91d-171b0ab53ae5');\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-9a845159-dbce-42c0-a7dc-131b4df84b96\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9a845159-dbce-42c0-a7dc-131b4df84b96')\"\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-9a845159-dbce-42c0-a7dc-131b4df84b96 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "  <div id=\"id_096f24ae-3154-420d-9754-9770c20dffda\">\n",
+              "    <style>\n",
+              "      .colab-df-generate {\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-generate: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",
+              "      [theme=dark] .colab-df-generate {\n",
+              "        background-color: #3B4455;\n",
+              "        fill: #D2E3FC;\n",
+              "      }\n",
+              "\n",
+              "      [theme=dark] .colab-df-generate: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",
+              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
+              "            title=\"Generate code using this dataframe.\"\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",
+              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "    <script>\n",
+              "      (() => {\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#id_096f24ae-3154-420d-9754-9770c20dffda button.colab-df-generate');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      buttonEl.onclick = () => {\n",
+              "        google.colab.notebook.generateWithVariable('df');\n",
+              "      }\n",
+              "      })();\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 392,\n  \"fields\": [\n    {\n      \"column\": \"age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 18.589049704965028,\n        \"min\": 0.0,\n        \"max\": 90.0,\n        \"num_unique_values\": 76,\n        \"samples\": [\n          60.0,\n          26.0,\n          63.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bp\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 18.513424355349287,\n        \"min\": 0.0,\n        \"max\": 180.0,\n        \"num_unique_values\": 11,\n        \"samples\": [\n          100.0,\n          80.0,\n          180.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bgr\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88.27078573562652,\n        \"min\": 0.0,\n        \"max\": 490.0,\n        \"num_unique_values\": 146,\n        \"samples\": [\n          150.0,\n          424.0,\n          159.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bu\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 50.86006843947563,\n        \"min\": 0.0,\n        \"max\": 391.0,\n        \"num_unique_values\": 118,\n        \"samples\": [\n          85.0,\n          42.0,\n          26.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sod\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 57.76009035147553,\n        \"min\": 0.0,\n        \"max\": 163.0,\n        \"num_unique_values\": 35,\n        \"samples\": [\n          122.0,\n          129.0,\n          146.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pot\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.4365711690381584,\n        \"min\": 0.0,\n        \"max\": 47.0,\n        \"num_unique_values\": 41,\n        \"samples\": [\n          3.6,\n          3.8,\n          6.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hemo\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.034697701579665,\n        \"min\": 0.0,\n        \"max\": 17.8,\n        \"num_unique_values\": 116,\n        \"samples\": [\n          3.1,\n          11.6,\n          9.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wc\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 90,\n        \"samples\": [\n          \"5600\",\n          \"7900\",\n          \"16300\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rc\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 48,\n        \"samples\": [\n          \"5.6\",\n          \"5.1\",\n          \"2.1\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"htn\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"appet\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ane\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"classification\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 41
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "x_data = df.drop(['classification'], axis = 1)\n",
+        "y = df.classification.values"
+      ],
+      "metadata": {
+        "id": "jvdxSOtN35up"
+      },
+      "execution_count": 42,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "x_train, x_test, y_train, y_test = train_test_split(x_data, y, test_size = 0.2, random_state= 0)"
+      ],
+      "metadata": {
+        "id": "dHaFMd8A94Ks"
+      },
+      "execution_count": 43,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.ensemble import RandomForestClassifier\n",
+        "rf = RandomForestClassifier(n_estimators = 1000, random_state= 1)\n",
+        "rf.fit(x_train, y_train)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 74
+        },
+        "id": "JEFcVUBLW9Pi",
+        "outputId": "dbf5c9f4-d229-4184-abe6-ffa193fb6f85"
+      },
+      "execution_count": 44,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "RandomForestClassifier(n_estimators=1000, random_state=1)"
+            ],
+            "text/html": [
+              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(n_estimators=1000, random_state=1)</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(n_estimators=1000, random_state=1)</pre></div></div></div></div></div>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 44
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "y_pred=rf.predict(x_test)"
+      ],
+      "metadata": {
+        "id": "M66dC8FOXNEt"
+      },
+      "execution_count": 45,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.metrics import classification_report\n",
+        "print(classification_report(y_pred,y_test))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "L06DnXKhXPzS",
+        "outputId": "b454914f-414f-407b-caa7-5599ab136d5a"
+      },
+      "execution_count": 46,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "              precision    recall  f1-score   support\n",
+            "\n",
+            "           0       0.80      0.92      0.86        26\n",
+            "           1       0.96      0.89      0.92        53\n",
+            "\n",
+            "    accuracy                           0.90        79\n",
+            "   macro avg       0.88      0.90      0.89        79\n",
+            "weighted avg       0.91      0.90      0.90        79\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pickle\n",
+        "\n",
+        "with open('kcd.pkl','wb') as f:\n",
+        "    pickle.dump(rf,f)\n",
+        "\n",
+        "# load\n",
+        "with open('kcd.pkl', 'rb') as f:\n",
+        "    rf = pickle.load(f)\n",
+        "#rf.predict()"
+      ],
+      "metadata": {
+        "id": "4IrkPQCLXhYw"
+      },
+      "execution_count": 47,
+      "outputs": []
+    }
+  ]
+}

kcd.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cefe30b5bd13c43723c71179bf0a2d425a7bfdc9f78f3c5570646afba64bb7a8
+size 2694299

kidney_disease.csv

@@ -0,0 +1,401 @@
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+13,68.0,70.0,,,,,,notpresent,notpresent,98.0,86.0,4.6,135.0,3.4,9.8,,,,yes,yes,yes,poor,yes,no,ckd
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+16,47.0,70.0,1.015,2.0,0.0,,normal,notpresent,notpresent,99.0,46.0,2.2,138.0,4.1,12.6,,,,no,no,no,good,no,no,ckd
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+45,54.0,80.0,1.02,3.0,0.0,,abnormal,notpresent,notpresent,208.0,89.0,5.9,130.0,4.9,9.3,,,,yes,yes,no,poor,yes,no,ckd
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+99,56.0,180.0,,0.0,4.0,,abnormal,notpresent,notpresent,298.0,24.0,1.2,139.0,3.9,11.2,32,10400,4.2,yes,yes,no,poor,yes,no,ckd
+100,34.0,70.0,1.015,4.0,0.0,abnormal,abnormal,notpresent,notpresent,153.0,22.0,0.9,133.0,3.8,,,,,no,no,no,good,yes,no,ckd
+101,71.0,90.0,1.015,2.0,0.0,,abnormal,present,present,88.0,80.0,4.4,139.0,5.7,11.3,33,10700,3.9,no,no,no,good,no,no,ckd
+102,17.0,60.0,1.01,0.0,0.0,,normal,notpresent,notpresent,92.0,32.0,2.1,141.0,4.2,13.9,52,7000,,no,no,no,good,no,no,ckd
+103,76.0,70.0,1.015,2.0,0.0,normal,abnormal,present,notpresent,226.0,217.0,10.2,,,10.2,36,12700,4.2,yes,no,no,poor,yes,yes,ckd
+104,55.0,90.0,,,,,,notpresent,notpresent,143.0,88.0,2.0,,,,,,,yes,yes,no,poor,yes,no,ckd
+105,65.0,80.0,1.015,0.0,0.0,,normal,notpresent,notpresent,115.0,32.0,11.5,139.0,4.0,14.1,42,6800,5.2,no,no,no,good,no,no,ckd
+106,50.0,90.0,,,,,,notpresent,notpresent,89.0,118.0,6.1,127.0,4.4,6.0,17,6500,,yes,yes,no,good,yes,yes,ckd
+107,55.0,100.0,1.015,1.0,4.0,normal,,notpresent,notpresent,297.0,53.0,2.8,139.0,4.5,11.2,34,13600,4.4,yes,yes,no,good,no,no,ckd
+108,45.0,80.0,1.015,0.0,0.0,,abnormal,notpresent,notpresent,107.0,15.0,1.0,141.0,4.2,11.8,37,10200,4.2,no,no,no,good,no,no,ckd
+109,54.0,70.0,,,,,,notpresent,notpresent,233.0,50.1,1.9,,,11.7,,,,no,yes,no,good,no,no,ckd
+110,63.0,90.0,1.015,0.0,0.0,,normal,notpresent,notpresent,123.0,19.0,2.0,142.0,3.8,11.7,34,11400,4.7,no,no,no,good,no,no,ckd
+111,65.0,80.0,1.01,3.0,3.0,,normal,notpresent,notpresent,294.0,71.0,4.4,128.0,5.4,10.0,32,9000,3.9,yes,yes,yes,good,no,no,ckd
+112,,60.0,1.015,3.0,0.0,abnormal,abnormal,notpresent,notpresent,,34.0,1.2,,,10.8,33,,,no,no,no,good,no,no,ckd
+113,61.0,90.0,1.015,0.0,2.0,,normal,notpresent,notpresent,,,,,,,,9800,,no,yes,no,poor,no,yes,ckd
+114,12.0,60.0,1.015,3.0,0.0,abnormal,abnormal,present,notpresent,,51.0,1.8,,,12.1,,10300,,no,no,no,good,no,no,ckd
+115,47.0,80.0,1.01,0.0,0.0,,abnormal,notpresent,notpresent,,28.0,0.9,,,12.4,44,5600,4.3,no,no,no,good,no,yes,ckd
+116,,70.0,1.015,4.0,0.0,abnormal,normal,notpresent,notpresent,104.0,16.0,0.5,,,,,,,no,no,no,good,yes,no,ckd
+117,,70.0,1.02,0.0,0.0,,,notpresent,notpresent,219.0,36.0,1.3,139.0,3.7,12.5,37,9800,4.4,no,no,no,good,no,no,ckd
+118,55.0,70.0,1.01,3.0,0.0,,normal,notpresent,notpresent,99.0,25.0,1.2,,,11.4,,,,no,no,no,poor,yes,no,ckd
+119,60.0,70.0,1.01,0.0,0.0,,normal,notpresent,notpresent,140.0,27.0,1.2,,,,,,,no,no,no,good,no,no,ckd
+120,72.0,90.0,1.025,1.0,3.0,,normal,notpresent,notpresent,323.0,40.0,2.2,137.0,5.3,12.6,,,,no,yes,yes,poor,no,no,ckd
+121,54.0,60.0,,3.0,,,,notpresent,notpresent,125.0,21.0,1.3,137.0,3.4,15.0,46,,,yes,yes,no,good,yes,no,ckd
+122,34.0,70.0,,,,,,notpresent,notpresent,,219.0,12.2,130.0,3.8,6.0,,,,yes,no,no,good,no,yes,ckd
+123,43.0,80.0,1.015,2.0,3.0,,abnormal,present,present,,30.0,1.1,,,14.0,42,14900,,no,no,no,good,no,no,ckd
+124,65.0,100.0,1.015,0.0,0.0,,normal,notpresent,notpresent,90.0,98.0,2.5,,,9.1,28,5500,3.6,yes,no,no,good,no,no,ckd
+125,72.0,90.0,,,,,,notpresent,notpresent,308.0,36.0,2.5,131.0,4.3,,,,,yes,yes,no,poor,no,no,ckd
+126,70.0,90.0,1.015,0.0,0.0,,normal,notpresent,notpresent,144.0,125.0,4.0,136.0,4.6,12.0,37,8200,4.5,yes,yes,no,poor,yes,no,ckd
+127,71.0,60.0,1.015,4.0,0.0,normal,normal,notpresent,notpresent,118.0,125.0,5.3,136.0,4.9,11.4,35,15200,4.3,yes,yes,no,poor,yes,no,ckd
+128,52.0,90.0,1.015,4.0,3.0,normal,abnormal,notpresent,notpresent,224.0,166.0,5.6,133.0,47.0,8.1,23,5000,2.9,yes,yes,no,good,no,yes,ckd
+129,75.0,70.0,1.025,1.0,0.0,,normal,notpresent,notpresent,158.0,49.0,1.4,135.0,4.7,11.1,,,,yes,no,no,poor,yes,no,ckd
+130,50.0,90.0,1.01,2.0,0.0,normal,abnormal,present,present,128.0,208.0,9.2,134.0,4.8,8.2,22,16300,2.7,no,no,no,poor,yes,yes,ckd
+131,5.0,50.0,1.01,0.0,0.0,,normal,notpresent,notpresent,,25.0,0.6,,,11.8,36,12400,,no,no,no,good,no,no,ckd
+132,50.0,,,,,normal,,notpresent,notpresent,219.0,176.0,13.8,136.0,4.5,8.6,24,13200,2.7,yes,no,no,good,yes,yes,ckd
+133,70.0,100.0,1.015,4.0,0.0,normal,normal,notpresent,notpresent,118.0,125.0,5.3,136.0,4.9,12.0,37,	8400,8.0,yes,no,no,good,no,no,ckd
+134,47.0,100.0,1.01,,,normal,,notpresent,notpresent,122.0,,16.9,138.0,5.2,10.8,33,10200,3.8,no,yes,no,good,no,no,ckd
+135,48.0,80.0,1.015,0.0,2.0,,normal,notpresent,notpresent,214.0,24.0,1.3,140.0,4.0,13.2,39,,,no,yes,no,poor,no,no,ckd
+136,46.0,90.0,1.02,,,,normal,notpresent,notpresent,213.0,68.0,2.8,146.0,6.3,9.3,,,,yes,yes,no,good,no,no,ckd
+137,45.0,60.0,1.01,2.0,0.0,normal,abnormal,present,notpresent,268.0,86.0,4.0,134.0,5.1,10.0,29,9200,,yes,yes,no,good,no,no,ckd
+138,73.0,,1.01,1.0,0.0,,,notpresent,notpresent,95.0,51.0,1.6,142.0,3.5,,,,,no,	no,no,good,no,no,ckd
+139,41.0,70.0,1.015,2.0,0.0,,abnormal,notpresent,present,,68.0,2.8,132.0,4.1,11.1,33,,,yes,no,no,good,yes,yes,ckd
+140,69.0,70.0,1.01,0.0,4.0,,normal,notpresent,notpresent,256.0,40.0,1.2,142.0,5.6,,,,,no,no,no,good,no,no,ckd
+141,67.0,70.0,1.01,1.0,0.0,normal,normal,notpresent,notpresent,,106.0,6.0,137.0,4.9,6.1,19,6500,,yes,no,no,good,no,yes,ckd
+142,72.0,90.0,,,,,,notpresent,notpresent,84.0,145.0,7.1,135.0,5.3,,,,,no,yes,no,good,no,no,ckd
+143,41.0,80.0,1.015,1.0,4.0,abnormal,normal,notpresent,notpresent,210.0,165.0,18.0,135.0,4.7,,,,,no,yes,no,good,no,no,ckd
+144,60.0,90.0,1.01,2.0,0.0,abnormal,normal,notpresent,notpresent,105.0,53.0,2.3,136.0,5.2,11.1,33,10500,4.1,no,no,no,good,no,no,ckd
+145,57.0,90.0,1.015,5.0,0.0,abnormal,abnormal,notpresent,present,,322.0,13.0,126.0,4.8,8.0,24,4200,3.3,yes,yes,yes,poor,yes,yes,ckd
+146,53.0,100.0,1.01,1.0,3.0,abnormal,normal,notpresent,notpresent,213.0,23.0,1.0,139.0,4.0,,,,,no,yes,no,good,no,no,ckd
+147,60.0,60.0,1.01,3.0,1.0,normal,abnormal,present,notpresent,288.0,36.0,1.7,130.0,3.0,7.9,25,15200,3.0,yes,no,no,poor,no,yes,ckd
+148,69.0,60.0,,,,,,notpresent,notpresent,171.0,26.0,48.1,,,,,,,yes,no,no,poor,no,no,ckd
+149,65.0,70.0,1.02,1.0,0.0,abnormal,abnormal,notpresent,notpresent,139.0,29.0,1.0,,,10.5,32,,,yes,no,no,good,yes,no,ckd
+150,8.0,60.0,1.025,3.0,0.0,normal,normal,notpresent,notpresent,78.0,27.0,0.9,,,12.3,41,6700,,no,no,no,poor,yes,no,ckd
+151,76.0,90.0,,,,,,notpresent,notpresent,172.0,46.0,1.7,141.0,5.5,9.6,30,,,yes,yes,no,good,no,yes,ckd
+152,39.0,70.0,1.01,0.0,0.0,,normal,notpresent,notpresent,121.0,20.0,0.8,133.0,3.5,10.9,32,,,no,yes,no,good,no,no,ckd
+153,55.0,90.0,1.01,2.0,1.0,abnormal,abnormal,notpresent,notpresent,273.0,235.0,14.2,132.0,3.4,8.3,22,14600,2.9,yes,yes,no,poor,yes,yes,ckd
+154,56.0,90.0,1.005,4.0,3.0,abnormal,abnormal,notpresent,notpresent,242.0,132.0,16.4,140.0,4.2,8.4,26,,3,yes,yes,no,poor,yes,yes,ckd
+155,50.0,70.0,1.02,3.0,0.0,abnormal,normal,present,present,123.0,40.0,1.8,,,11.1,36,4700,,no,no,no,good,no,no,ckd
+156,66.0,90.0,1.015,2.0,0.0,,normal,notpresent,present,153.0,76.0,3.3,,,,,,,no,no,no,poor,no,no,ckd
+157,62.0,70.0,1.025,3.0,0.0,normal,abnormal,notpresent,notpresent,122.0,42.0,1.7,136.0,4.7,12.6,39,7900,3.9,yes,yes,no,good,no,no,ckd
+158,71.0,60.0,1.02,3.0,2.0,normal,normal,present,notpresent,424.0,48.0,1.5,132.0,4.0,10.9,31,,,yes,yes,yes,good,no,no,ckd
+159,59.0,80.0,1.01,1.0,0.0,abnormal,normal,notpresent,notpresent,303.0,35.0,1.3,122.0,3.5,10.4,35,10900,4.3,no,yes,no,poor,no,no,ckd
+160,81.0,60.0,,,,,,notpresent,notpresent,148.0,39.0,2.1,147.0,4.2,10.9,35,9400,2.4,yes,yes,yes,poor,yes,no,ckd
+161,62.0,,1.015,3.0,0.0,abnormal,,notpresent,notpresent,,,,,,14.3,42,10200,4.8,yes,yes,no,good,no,no,ckd
+162,59.0,70.0,,,,,,notpresent,notpresent,204.0,34.0,1.5,124.0,4.1,9.8,37,6000,	?,no,yes,no,good,no,no,ckd
+163,46.0,80.0,1.01,0.0,0.0,,normal,notpresent,notpresent,160.0,40.0,2.0,140.0,4.1,9.0,27,8100,3.2,yes,no,no,poor,no,yes,ckd
+164,14.0,,1.015,0.0,0.0,,,notpresent,notpresent,192.0,15.0,0.8,137.0,4.2,14.3,40,9500,5.4,no,yes,no,poor,yes,no,ckd
+165,60.0,80.0,1.02,0.0,2.0,,,notpresent,notpresent,,,,,,,,,,no,yes,no,good,no,no,ckd
+166,27.0,60.0,,,,,,notpresent,notpresent,76.0,44.0,3.9,127.0,4.3,,,,,no,no,no,poor,yes,yes,ckd
+167,34.0,70.0,1.02,0.0,0.0,abnormal,normal,notpresent,notpresent,139.0,19.0,0.9,,,12.7,42,2200,,no,no,no,poor,no,no,ckd
+168,65.0,70.0,1.015,4.0,4.0,,normal,present,notpresent,307.0,28.0,1.5,,,11.0,39,6700,,yes,yes,no,good,no,no,ckd
+169,,70.0,1.01,0.0,2.0,,normal,notpresent,notpresent,220.0,68.0,2.8,,,8.7,27,,,yes,yes,no,good,no,yes,ckd
+170,66.0,70.0,1.015,2.0,5.0,,normal,notpresent,notpresent,447.0,41.0,1.7,131.0,3.9,12.5,33,9600,4.4,yes,yes,no,good,no,no,ckd
+171,83.0,70.0,1.02,3.0,0.0,normal,normal,notpresent,notpresent,102.0,60.0,2.6,115.0,5.7,8.7,26,12800,3.1,yes,no,no,poor,no,yes,ckd
+172,62.0,80.0,1.01,1.0,2.0,,,notpresent,notpresent,309.0,113.0,2.9,130.0,2.5,10.6,34,12800,4.9,no,no,no,good,no,no,ckd
+173,17.0,70.0,1.015,1.0,0.0,abnormal,normal,notpresent,notpresent,22.0,1.5,7.3,145.0,2.8,13.1,41,11200,,no,no,no,good,no,no,ckd
+174,54.0,70.0,,,,,,notpresent,notpresent,111.0,146.0,7.5,141.0,4.7,11.0,35,8600,4.6,no,no,no,good,no,no,ckd
+175,60.0,50.0,1.01,0.0,0.0,,normal,notpresent,notpresent,261.0,58.0,2.2,113.0,3.0,,,4200,3.4,yes,no,no,good,no,no,ckd
+176,21.0,90.0,1.01,4.0,0.0,normal,abnormal,present,present,107.0,40.0,1.7,125.0,3.5,8.3,23,12400,3.9,no,no,no,good,no,yes,ckd
+177,65.0,80.0,1.015,2.0,1.0,normal,normal,present,notpresent,215.0,133.0,2.5,,,13.2,41,,,no,yes,no,good,no,no,ckd
+178,42.0,90.0,1.02,2.0,0.0,abnormal,abnormal,present,notpresent,93.0,153.0,2.7,139.0,4.3,9.8,34,9800,,no,no,no,poor,yes,yes,ckd
+179,72.0,90.0,1.01,2.0,0.0,,abnormal,present,notpresent,124.0,53.0,2.3,,,11.9,39,,,no,no,no,good,no,no,ckd
+180,73.0,90.0,1.01,1.0,4.0,abnormal,abnormal,present,notpresent,234.0,56.0,1.9,,,10.3,28,,,no,yes,no,good,no,no,ckd
+181,45.0,70.0,1.025,2.0,0.0,normal,abnormal,present,notpresent,117.0,52.0,2.2,136.0,3.8,10.0,30,19100,3.7,no,no,no,good,no,no,ckd
+182,61.0,80.0,1.02,0.0,0.0,,normal,notpresent,notpresent,131.0,23.0,0.8,140.0,4.1,11.3,35,,,no,no,no,good,no,no,ckd
+183,30.0,70.0,1.015,0.0,0.0,,normal,notpresent,notpresent,101.0,106.0,6.5,135.0,4.3,,,,,no,no,no,poor,no,no,ckd
+184,54.0,60.0,1.015,3.0,2.0,,abnormal,notpresent,notpresent,352.0,137.0,3.3,133.0,4.5,11.3,31,5800,3.6,yes,yes,yes,poor,yes,no,ckd
+185,4.0,,1.02,1.0,0.0,,normal,notpresent,notpresent,99.0,23.0,0.6,138.0,4.4,12.0,34,	?,,no,no,no,good,no,no,ckd
+186,8.0,50.0,1.02,4.0,0.0,normal,normal,notpresent,notpresent,,46.0,1.0,135.0,3.8,,,,,no,no,no,good,yes,no,ckd
+187,3.0,,1.01,2.0,0.0,normal,normal,notpresent,notpresent,,22.0,0.7,,,10.7,34,12300,,no,no,no,good,no,no,ckd
+188,8.0,,,,,,,notpresent,notpresent,80.0,66.0,2.5,142.0,3.6,12.2,38,,,no,	no,no,good,no,no,ckd
+189,64.0,60.0,1.01,4.0,1.0,abnormal,abnormal,notpresent,present,239.0,58.0,4.3,137.0,5.4,9.5,29,7500,3.4,yes,yes,no,poor,yes,no,ckd
+190,6.0,60.0,1.01,4.0,0.0,abnormal,abnormal,notpresent,present,94.0,67.0,1.0,135.0,4.9,9.9,30,16700,4.8,no,no,no,poor,no,no,ckd
+191,,70.0,1.01,3.0,0.0,normal,normal,notpresent,notpresent,110.0,115.0,6.0,134.0,2.7,9.1,26,9200,3.4,yes,yes,no,poor,no,no,ckd
+192,46.0,110.0,1.015,0.0,0.0,,normal,notpresent,notpresent,130.0,16.0,0.9,,,,,,,no,no,no,good,no,no,ckd
+193,32.0,90.0,1.025,1.0,0.0,abnormal,abnormal,notpresent,notpresent,,223.0,18.1,113.0,6.5,5.5,15,2600,2.8,yes,yes,no,poor,yes,yes,ckd
+194,80.0,70.0,1.01,2.0,,,abnormal,notpresent,notpresent,,49.0,1.2,,,,,,,yes,	yes,no,good,no,no,ckd
+195,70.0,90.0,1.02,2.0,1.0,abnormal,abnormal,notpresent,present,184.0,98.6,3.3,138.0,3.9,5.8,,,,yes,yes,yes,poor,no,no,ckd
+196,49.0,100.0,1.01,3.0,0.0,abnormal,abnormal,notpresent,notpresent,129.0,158.0,11.8,122.0,3.2,8.1,24,9600,3.5,yes,yes,no,poor,yes,yes,ckd
+197,57.0,80.0,,,,,,notpresent,notpresent,,111.0,9.3,124.0,5.3,6.8,,4300,3.0,yes,yes,no,good,no,yes,ckd
+198,59.0,100.0,1.02,4.0,2.0,normal,normal,notpresent,notpresent,252.0,40.0,3.2,137.0,4.7,11.2,30,26400,3.9,yes,yes,no,poor,yes,no,ckd
+199,65.0,80.0,1.015,0.0,0.0,,normal,notpresent,notpresent,92.0,37.0,1.5,140.0,5.2,8.8,25,10700,3.2,yes,no,yes,good,yes,no,ckd
+200,90.0,90.0,1.025,1.0,0.0,,normal,notpresent,notpresent,139.0,89.0,3.0,140.0,4.1,12.0,37,7900,3.9,yes,yes,no,good,no,no,ckd
+201,64.0,70.0,,,,,,notpresent,notpresent,113.0,94.0,7.3,137.0,4.3,7.9,21,,,yes,yes,yes,good,yes,yes,ckd
+202,78.0,60.0,,,,,,notpresent,notpresent,114.0,74.0,2.9,135.0,5.9,8.0,24,,,no,yes,no,good,no,yes,ckd
+203,,90.0,,,,,,notpresent,notpresent,207.0,80.0,6.8,142.0,5.5,8.5,,,,yes,yes,no,good,no,yes,ckd
+204,65.0,90.0,1.01,4.0,2.0,normal,normal,notpresent,notpresent,172.0,82.0,13.5,145.0,6.3,8.8,31,,,yes,yes,no,good,yes,yes,ckd
+205,61.0,70.0,,,,,,notpresent,notpresent,100.0,28.0,2.1,,,12.6,43,,,yes,yes,no,good,no,no,ckd
+206,60.0,70.0,1.01,1.0,0.0,,normal,notpresent,notpresent,109.0,96.0,3.9,135.0,4.0,13.8,41,,,yes,no,no,good,no,no,ckd
+207,50.0,70.0,1.01,0.0,0.0,,normal,notpresent,notpresent,230.0,50.0,2.2,,,12.0,41,10400,4.6,yes,yes,no,good,no,no,ckd
+208,67.0,80.0,,,,,,notpresent,notpresent,341.0,37.0,1.5,,,12.3,41,6900,4.9,yes,yes,no,good,no,yes,ckd
+209,19.0,70.0,1.02,0.0,0.0,,normal,notpresent,notpresent,,,,,,11.5,,6900,,no,no,no,good,no,no,ckd
+210,59.0,100.0,1.015,4.0,2.0,normal,normal,notpresent,notpresent,255.0,132.0,12.8,135.0,5.7,7.3,20,9800,3.9,yes,yes,yes,good,no,yes,ckd
+211,54.0,120.0,1.015,0.0,0.0,,normal,notpresent,notpresent,103.0,18.0,1.2,,,,,,,no,no,no,good,no,no,ckd
+212,40.0,70.0,1.015,3.0,4.0,normal,normal,notpresent,notpresent,253.0,150.0,11.9,132.0,5.6,10.9,31,8800,3.4,yes,yes,no,poor,yes,no,ckd
+213,55.0,80.0,1.01,3.0,1.0,normal,abnormal,present,present,214.0,73.0,3.9,137.0,4.9,10.9,34,7400,3.7,yes,yes,no,good,yes,no,ckd
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mp.ipynb

@@ -0,0 +1,1108 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "\n",
+        "\n",
+        "# Mind Pulse\n",
+        "\n"
+      ],
+      "metadata": {
+        "id": "uVBQ8eFYMJii"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "id": "sOKb4InlIWgE"
+      },
+      "outputs": [],
+      "source": [
+        "# imports\n",
+        "import tensorflow as tf\n",
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "from sklearn.preprocessing import StandardScaler\n",
+        "from imblearn.over_sampling import RandomOverSampler\n",
+        "import seaborn as sns\n",
+        "from sklearn.model_selection import train_test_split"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# using drive to load our dataset\n",
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Zt5eI3jZI-HI",
+        "outputId": "f396fb7a-04ab-4656-d1c7-634bc71e5916"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Mounted at /content/drive\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df=pd.read_csv(\"/content/drive/MyDrive/dataset/bs.csv\")\n",
+        "del df['id'],df['ever_married'],df['work_type'],df['Residence_type']\n",
+        "df"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423
+        },
+        "id": "q17IF39-JA5c",
+        "outputId": "7827647c-c8a7-48bb-8c61-86df6396fc0d"
+      },
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "      gender   age  hypertension  heart_disease  avg_glucose_level   bmi  \\\n",
+              "0       Male  67.0             0              1             228.69  36.6   \n",
+              "1     Female  61.0             0              0             202.21   NaN   \n",
+              "2       Male  80.0             0              1             105.92  32.5   \n",
+              "3     Female  49.0             0              0             171.23  34.4   \n",
+              "4     Female  79.0             1              0             174.12  24.0   \n",
+              "...      ...   ...           ...            ...                ...   ...   \n",
+              "5105  Female  80.0             1              0              83.75   NaN   \n",
+              "5106  Female  81.0             0              0             125.20  40.0   \n",
+              "5107  Female  35.0             0              0              82.99  30.6   \n",
+              "5108    Male  51.0             0              0             166.29  25.6   \n",
+              "5109  Female  44.0             0              0              85.28  26.2   \n",
+              "\n",
+              "       smoking_status  stroke  \n",
+              "0     formerly smoked       1  \n",
+              "1        never smoked       1  \n",
+              "2        never smoked       1  \n",
+              "3              smokes       1  \n",
+              "4        never smoked       1  \n",
+              "...               ...     ...  \n",
+              "5105     never smoked       0  \n",
+              "5106     never smoked       0  \n",
+              "5107     never smoked       0  \n",
+              "5108  formerly smoked       0  \n",
+              "5109          Unknown       0  \n",
+              "\n",
+              "[5110 rows x 8 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-333ae646-88a6-4364-b7fe-4aeeca781e7e\" 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",
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+              "\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>gender</th>\n",
+              "      <th>age</th>\n",
+              "      <th>hypertension</th>\n",
+              "      <th>heart_disease</th>\n",
+              "      <th>avg_glucose_level</th>\n",
+              "      <th>bmi</th>\n",
+              "      <th>smoking_status</th>\n",
+              "      <th>stroke</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Male</td>\n",
+              "      <td>67.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>228.69</td>\n",
+              "      <td>36.6</td>\n",
+              "      <td>formerly smoked</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Female</td>\n",
+              "      <td>61.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>202.21</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>never smoked</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Male</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>105.92</td>\n",
+              "      <td>32.5</td>\n",
+              "      <td>never smoked</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Female</td>\n",
+              "      <td>49.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>171.23</td>\n",
+              "      <td>34.4</td>\n",
+              "      <td>smokes</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Female</td>\n",
+              "      <td>79.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>174.12</td>\n",
+              "      <td>24.0</td>\n",
+              "      <td>never smoked</td>\n",
+              "      <td>1</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",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5105</th>\n",
+              "      <td>Female</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>83.75</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>never smoked</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5106</th>\n",
+              "      <td>Female</td>\n",
+              "      <td>81.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>125.20</td>\n",
+              "      <td>40.0</td>\n",
+              "      <td>never smoked</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5107</th>\n",
+              "      <td>Female</td>\n",
+              "      <td>35.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>82.99</td>\n",
+              "      <td>30.6</td>\n",
+              "      <td>never smoked</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5108</th>\n",
+              "      <td>Male</td>\n",
+              "      <td>51.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>166.29</td>\n",
+              "      <td>25.6</td>\n",
+              "      <td>formerly smoked</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5109</th>\n",
+              "      <td>Female</td>\n",
+              "      <td>44.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>85.28</td>\n",
+              "      <td>26.2</td>\n",
+              "      <td>Unknown</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>5110 rows × 8 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-333ae646-88a6-4364-b7fe-4aeeca781e7e')\"\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",
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+              "  </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",
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+              "      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-333ae646-88a6-4364-b7fe-4aeeca781e7e 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-333ae646-88a6-4364-b7fe-4aeeca781e7e');\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-ef5bf78d-a8c3-434b-a2cc-b9481c5cc867\">\n",
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+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
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+              "      --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",
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+              "    height: 32px;\n",
+              "    padding: 0;\n",
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+              "  .colab-df-quickchart:hover {\n",
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+              "    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",
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+              "      border-left-color: var(--fill-color);\n",
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+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
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+              "      border-right-color: var(--fill-color);\n",
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+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
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+              "      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",
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+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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+              "    (() => {\n",
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+              "        document.querySelector('#df-ef5bf78d-a8c3-434b-a2cc-b9481c5cc867 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "  <div id=\"id_77560788-fc85-435e-acd2-36daee073dd0\">\n",
+              "    <style>\n",
+              "      .colab-df-generate {\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-generate: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",
+              "      [theme=dark] .colab-df-generate {\n",
+              "        background-color: #3B4455;\n",
+              "        fill: #D2E3FC;\n",
+              "      }\n",
+              "\n",
+              "      [theme=dark] .colab-df-generate: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",
+              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
+              "            title=\"Generate code using this dataframe.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "    <script>\n",
+              "      (() => {\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#id_77560788-fc85-435e-acd2-36daee073dd0 button.colab-df-generate');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      buttonEl.onclick = () => {\n",
+              "        google.colab.notebook.generateWithVariable('df');\n",
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+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 5110,\n  \"fields\": [\n    {\n      \"column\": \"gender\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Male\",\n          \"Female\",\n          \"Other\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 22.61264672311349,\n        \"min\": 0.08,\n        \"max\": 82.0,\n        \"num_unique_values\": 104,\n        \"samples\": [\n          45.0,\n          24.0,\n          33.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hypertension\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"heart_disease\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"avg_glucose_level\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 45.28356015058198,\n        \"min\": 55.12,\n        \"max\": 271.74,\n        \"num_unique_values\": 3979,\n        \"samples\": [\n          178.29,\n          156.69\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bmi\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.854066729680164,\n        \"min\": 10.3,\n        \"max\": 97.6,\n        \"num_unique_values\": 418,\n        \"samples\": [\n          49.5,\n          18.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"smoking_status\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"never smoked\",\n          \"Unknown\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"stroke\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 5
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df['gender']=(df['gender']=='Male').astype(int)\n",
+        "df['smoking_status']=(df['smoking_status']=='smokes').astype(int)\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423
+        },
+        "id": "P9x3rK02KCaZ",
+        "outputId": "75594c20-f7b6-4365-fa1b-edeb50d1b94c"
+      },
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "      gender   age  hypertension  heart_disease  avg_glucose_level   bmi  \\\n",
+              "0          0  67.0             0              1             228.69  36.6   \n",
+              "1          0  61.0             0              0             202.21   0.0   \n",
+              "2          0  80.0             0              1             105.92  32.5   \n",
+              "3          0  49.0             0              0             171.23  34.4   \n",
+              "4          0  79.0             1              0             174.12  24.0   \n",
+              "...      ...   ...           ...            ...                ...   ...   \n",
+              "5105       0  80.0             1              0              83.75   0.0   \n",
+              "5106       0  81.0             0              0             125.20  40.0   \n",
+              "5107       0  35.0             0              0              82.99  30.6   \n",
+              "5108       0  51.0             0              0             166.29  25.6   \n",
+              "5109       0  44.0             0              0              85.28  26.2   \n",
+              "\n",
+              "      smoking_status  stroke  \n",
+              "0                  0       1  \n",
+              "1                  0       1  \n",
+              "2                  0       1  \n",
+              "3                  1       1  \n",
+              "4                  0       1  \n",
+              "...              ...     ...  \n",
+              "5105               0       0  \n",
+              "5106               0       0  \n",
+              "5107               0       0  \n",
+              "5108               0       0  \n",
+              "5109               0       0  \n",
+              "\n",
+              "[5110 rows x 8 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-796d4fd1-ab8b-4b13-895a-2a2415839097\" 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>gender</th>\n",
+              "      <th>age</th>\n",
+              "      <th>hypertension</th>\n",
+              "      <th>heart_disease</th>\n",
+              "      <th>avg_glucose_level</th>\n",
+              "      <th>bmi</th>\n",
+              "      <th>smoking_status</th>\n",
+              "      <th>stroke</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>0</td>\n",
+              "      <td>67.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>228.69</td>\n",
+              "      <td>36.6</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>0</td>\n",
+              "      <td>61.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>202.21</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>105.92</td>\n",
+              "      <td>32.5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>0</td>\n",
+              "      <td>49.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>171.23</td>\n",
+              "      <td>34.4</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>0</td>\n",
+              "      <td>79.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>174.12</td>\n",
+              "      <td>24.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</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",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5105</th>\n",
+              "      <td>0</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>83.75</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5106</th>\n",
+              "      <td>0</td>\n",
+              "      <td>81.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>125.20</td>\n",
+              "      <td>40.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5107</th>\n",
+              "      <td>0</td>\n",
+              "      <td>35.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>82.99</td>\n",
+              "      <td>30.6</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5108</th>\n",
+              "      <td>0</td>\n",
+              "      <td>51.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>166.29</td>\n",
+              "      <td>25.6</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5109</th>\n",
+              "      <td>0</td>\n",
+              "      <td>44.0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>85.28</td>\n",
+              "      <td>26.2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>5110 rows × 8 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-796d4fd1-ab8b-4b13-895a-2a2415839097')\"\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",
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+              "  </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-796d4fd1-ab8b-4b13-895a-2a2415839097 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-796d4fd1-ab8b-4b13-895a-2a2415839097');\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-5ce35595-61da-4aab-98fe-349d0b9e787f\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-5ce35595-61da-4aab-98fe-349d0b9e787f')\"\n",
+              "            title=\"Suggest charts\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
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+              "    <g>\n",
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+              "    </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",
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+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
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+              "    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",
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+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
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+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
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+              "      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",
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+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
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+              "      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-5ce35595-61da-4aab-98fe-349d0b9e787f 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",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 5110,\n  \"fields\": [\n    {\n      \"column\": \"gender\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 22.61264672311349,\n        \"min\": 0.08,\n        \"max\": 82.0,\n        \"num_unique_values\": 104,\n        \"samples\": [\n          45.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hypertension\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"heart_disease\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"avg_glucose_level\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 45.28356015058198,\n        \"min\": 55.12,\n        \"max\": 271.74,\n        \"num_unique_values\": 3979,\n        \"samples\": [\n          178.29\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bmi\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.529497256055075,\n        \"min\": 0.0,\n        \"max\": 97.6,\n        \"num_unique_values\": 419,\n        \"samples\": [\n          36.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"smoking_status\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"stroke\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 7
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df=df.fillna(0)"
+      ],
+      "metadata": {
+        "id": "Z3VztZ8HLtmD"
+      },
+      "execution_count": 11,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "x_data = df.drop(['stroke'], axis = 1)\n",
+        "y = df.stroke.values"
+      ],
+      "metadata": {
+        "id": "jvdxSOtN35up"
+      },
+      "execution_count": 12,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "x_train, x_test, y_train, y_test = train_test_split(x_data, y, test_size = 0.2, random_state= 0)"
+      ],
+      "metadata": {
+        "id": "nk7QPMxYLian"
+      },
+      "execution_count": 13,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.linear_model import LogisticRegression\n",
+        "lr = LogisticRegression()\n",
+        "lr.fit(x_train, y_train)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 74
+        },
+        "id": "TB8qV9OnkH_5",
+        "outputId": "b710672b-3a9b-4cf4-fd59-7bb0cd436e41"
+      },
+      "execution_count": 16,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "LogisticRegression()"
+            ],
+            "text/html": [
+              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 16
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "y_pred=lr.predict(x_test)"
+      ],
+      "metadata": {
+        "id": "M66dC8FOXNEt"
+      },
+      "execution_count": 17,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.metrics import classification_report\n",
+        "print(classification_report(y_pred,y_test))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "L06DnXKhXPzS",
+        "outputId": "cd79637c-876e-4d65-c515-f58c8b145481"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "              precision    recall  f1-score   support\n",
+            "\n",
+            "           0       0.50      0.56      0.53         9\n",
+            "           1       0.92      0.91      0.91        53\n",
+            "\n",
+            "    accuracy                           0.85        62\n",
+            "   macro avg       0.71      0.73      0.72        62\n",
+            "weighted avg       0.86      0.85      0.86        62\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pickle\n",
+        "\n",
+        "with open('mp.pkl','wb') as f:\n",
+        "    pickle.dump(lr,f)\n",
+        "\n",
+        "# load\n",
+        "with open('mp.pkl', 'rb') as f:\n",
+        "    lr = pickle.load(f)"
+      ],
+      "metadata": {
+        "id": "4IrkPQCLXhYw"
+      },
+      "execution_count": 18,
+      "outputs": []
+    }
+  ]
+}

mp.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f52e61b79b4300ad4a3103547f265a817da0ce14258b7dc832df904069e681d
+size 940

nvd.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b901aeb174463c7a5e0500d9814eefd03d242f5228ee557fa53e3610225ea28
+size 1050

osp.ipynb

@@ -0,0 +1,654 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Outlier-Sensitive Predictor"
+      ],
+      "metadata": {
+        "id": "pUdgDToFZPsM"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 7,
+      "metadata": {
+        "id": "L96SNQ8HVI7m"
+      },
+      "outputs": [],
+      "source": [
+        "# imports\n",
+        "import tensorflow as tf\n",
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "from sklearn.preprocessing import StandardScaler\n",
+        "from imblearn.over_sampling import RandomOverSampler\n",
+        "import seaborn as sns\n",
+        "from sklearn.model_selection import train_test_split"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# using drive to load our dataset\n",
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Ea3adROCVORJ",
+        "outputId": "337c92a7-9d72-4e6c-c4de-94c07507d1a1"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Mounted at /content/drive\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = pd.read_csv(\"/content/drive/MyDrive/dataset/heart.csv\") # loading\n",
+        "del df['trestbps'], df['fbs'], df['restecg'], df['thalach'], df['exang'], df['slope'],df['oldpeak']\n",
+        "df"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423
+        },
+        "id": "5XYS8syqVREm",
+        "outputId": "d0c6e728-4ea8-420f-dfd1-7a823bb7de9b"
+      },
+      "execution_count": 26,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "     age  sex  cp  chol  ca  thal  target\n",
+              "0     63    1   3   233   0     1       1\n",
+              "1     37    1   2   250   0     2       1\n",
+              "2     41    0   1   204   0     2       1\n",
+              "3     56    1   1   236   0     2       1\n",
+              "4     57    0   0   354   0     2       1\n",
+              "..   ...  ...  ..   ...  ..   ...     ...\n",
+              "298   57    0   0   241   0     3       0\n",
+              "299   45    1   3   264   0     3       0\n",
+              "300   68    1   0   193   2     3       0\n",
+              "301   57    1   0   131   1     3       0\n",
+              "302   57    0   1   236   1     2       0\n",
+              "\n",
+              "[303 rows x 7 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-704bcd8d-fc3f-4eb0-8bd2-94f2654b6dcd\" 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>sex</th>\n",
+              "      <th>cp</th>\n",
+              "      <th>chol</th>\n",
+              "      <th>ca</th>\n",
+              "      <th>thal</th>\n",
+              "      <th>target</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>63</td>\n",
+              "      <td>1</td>\n",
+              "      <td>3</td>\n",
+              "      <td>233</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>37</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>250</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>41</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>204</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>56</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>236</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>57</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>354</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</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",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>298</th>\n",
+              "      <td>57</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>241</td>\n",
+              "      <td>0</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>299</th>\n",
+              "      <td>45</td>\n",
+              "      <td>1</td>\n",
+              "      <td>3</td>\n",
+              "      <td>264</td>\n",
+              "      <td>0</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>300</th>\n",
+              "      <td>68</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>193</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>301</th>\n",
+              "      <td>57</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>131</td>\n",
+              "      <td>1</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>302</th>\n",
+              "      <td>57</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>236</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>303 rows × 7 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-704bcd8d-fc3f-4eb0-8bd2-94f2654b6dcd')\"\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-704bcd8d-fc3f-4eb0-8bd2-94f2654b6dcd 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-704bcd8d-fc3f-4eb0-8bd2-94f2654b6dcd');\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-efa03089-ede5-411e-b0f0-a5784c8dc78f\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-efa03089-ede5-411e-b0f0-a5784c8dc78f')\"\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-efa03089-ede5-411e-b0f0-a5784c8dc78f button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "  <div id=\"id_6841d3c6-647d-4dce-a146-fe9011b50790\">\n",
+              "    <style>\n",
+              "      .colab-df-generate {\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-generate: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",
+              "      [theme=dark] .colab-df-generate {\n",
+              "        background-color: #3B4455;\n",
+              "        fill: #D2E3FC;\n",
+              "      }\n",
+              "\n",
+              "      [theme=dark] .colab-df-generate: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",
+              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
+              "            title=\"Generate code using this dataframe.\"\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",
+              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "    <script>\n",
+              "      (() => {\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#id_6841d3c6-647d-4dce-a146-fe9011b50790 button.colab-df-generate');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      buttonEl.onclick = () => {\n",
+              "        google.colab.notebook.generateWithVariable('df');\n",
+              "      }\n",
+              "      })();\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 303,\n  \"fields\": [\n    {\n      \"column\": \"age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9,\n        \"min\": 29,\n        \"max\": 77,\n        \"num_unique_values\": 41,\n        \"samples\": [\n          46,\n          66,\n          48\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sex\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cp\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 3,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          2,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"chol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 51,\n        \"min\": 126,\n        \"max\": 564,\n        \"num_unique_values\": 152,\n        \"samples\": [\n          277,\n          169\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ca\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 4,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          2,\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"thal\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 3,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          2,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 26
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "x_data = df.drop(['target'], axis = 1)\n",
+        "y = df.target.values"
+      ],
+      "metadata": {
+        "id": "vA58b9OtWIDv"
+      },
+      "execution_count": 27,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "x_train, x_test, y_train, y_test = train_test_split(x_data, y, test_size = 0.2, random_state= 0)"
+      ],
+      "metadata": {
+        "id": "vK1Fycc-WqRj"
+      },
+      "execution_count": 28,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.ensemble import RandomForestClassifier\n",
+        "rf = RandomForestClassifier(n_estimators = 1000, random_state= 1)\n",
+        "rf.fit(x_train, y_train)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 74
+        },
+        "id": "JEFcVUBLW9Pi",
+        "outputId": "325b00b5-3a44-4396-8f58-d6b4ff5447b1"
+      },
+      "execution_count": 29,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "RandomForestClassifier(n_estimators=1000, random_state=1)"
+            ],
+            "text/html": [
+              "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(n_estimators=1000, random_state=1)</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(n_estimators=1000, random_state=1)</pre></div></div></div></div></div>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 29
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "y_pred=rf.predict(x_test)"
+      ],
+      "metadata": {
+        "id": "M66dC8FOXNEt"
+      },
+      "execution_count": 30,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.metrics import classification_report\n",
+        "print(classification_report(y_pred,y_test))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "L06DnXKhXPzS",
+        "outputId": "fd3a39c7-f435-4363-9d68-725708e39fe5"
+      },
+      "execution_count": 31,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "              precision    recall  f1-score   support\n",
+            "\n",
+            "           0       0.74      0.80      0.77        25\n",
+            "           1       0.85      0.81      0.83        36\n",
+            "\n",
+            "    accuracy                           0.80        61\n",
+            "   macro avg       0.80      0.80      0.80        61\n",
+            "weighted avg       0.81      0.80      0.80        61\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pickle\n",
+        "\n",
+        "with open('osp.pkl','wb') as f:\n",
+        "    pickle.dump(rf,f)\n",
+        "\n",
+        "# load\n",
+        "with open('osp.pkl', 'rb') as f:\n",
+        "    rf = pickle.load(f)\n",
+        "#rf.predict()"
+      ],
+      "metadata": {
+        "id": "4IrkPQCLXhYw"
+      },
+      "execution_count": 32,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "sTwBUL3vZhdQ"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}

osp.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08fb30891aebadc1dd8058e745f232ca91bf9186c4be95528383226171145102
+size 7117386

sk.ipynb

@@ -0,0 +1,632 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "#  Sugar Kinetics"
+      ],
+      "metadata": {
+        "id": "iLEeLWoV-tpx"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "L96SNQ8HVI7m"
+      },
+      "outputs": [],
+      "source": [
+        "# imports\n",
+        "import tensorflow as tf\n",
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "from sklearn.preprocessing import StandardScaler\n",
+        "from imblearn.over_sampling import RandomOverSampler\n",
+        "import seaborn as sns\n",
+        "from sklearn.model_selection import train_test_split"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# using drive to load our dataset\n",
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Ea3adROCVORJ",
+        "outputId": "ba91f1a3-532e-49d4-b664-4b79a7c27887"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Mounted at /content/drive\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df=pd.read_csv(\"/content/drive/MyDrive/dataset/diabetes.csv\")\n",
+        "del df['Pregnancies'],df['DiabetesPedigreeFunction'],df['SkinThickness']\n",
+        "df"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423
+        },
+        "id": "td0NDw6QlrIk",
+        "outputId": "39e6502d-04f4-4807-df25-9ac4bdb1d51c"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "     Glucose  BloodPressure  Insulin   BMI  Age  Outcome\n",
+              "0        148             72        0  33.6   50        1\n",
+              "1         85             66        0  26.6   31        0\n",
+              "2        183             64        0  23.3   32        1\n",
+              "3         89             66       94  28.1   21        0\n",
+              "4        137             40      168  43.1   33        1\n",
+              "..       ...            ...      ...   ...  ...      ...\n",
+              "763      101             76      180  32.9   63        0\n",
+              "764      122             70        0  36.8   27        0\n",
+              "765      121             72      112  26.2   30        0\n",
+              "766      126             60        0  30.1   47        1\n",
+              "767       93             70        0  30.4   23        0\n",
+              "\n",
+              "[768 rows x 6 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-dbac154d-4168-4bc2-ae95-c0d413d968d3\" 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>Glucose</th>\n",
+              "      <th>BloodPressure</th>\n",
+              "      <th>Insulin</th>\n",
+              "      <th>BMI</th>\n",
+              "      <th>Age</th>\n",
+              "      <th>Outcome</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>148</td>\n",
+              "      <td>72</td>\n",
+              "      <td>0</td>\n",
+              "      <td>33.6</td>\n",
+              "      <td>50</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>85</td>\n",
+              "      <td>66</td>\n",
+              "      <td>0</td>\n",
+              "      <td>26.6</td>\n",
+              "      <td>31</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>183</td>\n",
+              "      <td>64</td>\n",
+              "      <td>0</td>\n",
+              "      <td>23.3</td>\n",
+              "      <td>32</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>89</td>\n",
+              "      <td>66</td>\n",
+              "      <td>94</td>\n",
+              "      <td>28.1</td>\n",
+              "      <td>21</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>137</td>\n",
+              "      <td>40</td>\n",
+              "      <td>168</td>\n",
+              "      <td>43.1</td>\n",
+              "      <td>33</td>\n",
+              "      <td>1</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",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>763</th>\n",
+              "      <td>101</td>\n",
+              "      <td>76</td>\n",
+              "      <td>180</td>\n",
+              "      <td>32.9</td>\n",
+              "      <td>63</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>764</th>\n",
+              "      <td>122</td>\n",
+              "      <td>70</td>\n",
+              "      <td>0</td>\n",
+              "      <td>36.8</td>\n",
+              "      <td>27</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>765</th>\n",
+              "      <td>121</td>\n",
+              "      <td>72</td>\n",
+              "      <td>112</td>\n",
+              "      <td>26.2</td>\n",
+              "      <td>30</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>766</th>\n",
+              "      <td>126</td>\n",
+              "      <td>60</td>\n",
+              "      <td>0</td>\n",
+              "      <td>30.1</td>\n",
+              "      <td>47</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>767</th>\n",
+              "      <td>93</td>\n",
+              "      <td>70</td>\n",
+              "      <td>0</td>\n",
+              "      <td>30.4</td>\n",
+              "      <td>23</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>768 rows × 6 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-dbac154d-4168-4bc2-ae95-c0d413d968d3')\"\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",
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+              "  </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-dbac154d-4168-4bc2-ae95-c0d413d968d3 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-dbac154d-4168-4bc2-ae95-c0d413d968d3');\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-0cdf744e-9bb1-45b6-ae8d-959e87aa5e47\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0cdf744e-9bb1-45b6-ae8d-959e87aa5e47')\"\n",
+              "            title=\"Suggest charts\"\n",
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+              "\n",
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+              "    </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",
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+              "      --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",
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+              "    cursor: pointer;\n",
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+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
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+              "    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",
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+              "\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",
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+              "\n",
+              "  @keyframes spin {\n",
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+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
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+              "      border-left-color: var(--fill-color);\n",
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+              "      border-right-color: var(--fill-color);\n",
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+              "      border-right-color: var(--fill-color);\n",
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+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
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+              "      border-bottom-color: var(--fill-color);\n",
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+              "  }\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-0cdf744e-9bb1-45b6-ae8d-959e87aa5e47 button');\n",
+              "      quickchartButtonEl.style.display =\n",
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+              "</div>\n",
+              "\n",
+              "  <div id=\"id_0b74a80c-05de-486a-a869-a5246859ea43\">\n",
+              "    <style>\n",
+              "      .colab-df-generate {\n",
+              "        background-color: #E8F0FE;\n",
+              "        border: none;\n",
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+              "        cursor: pointer;\n",
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+              "        height: 32px;\n",
+              "        padding: 0 0 0 0;\n",
+              "        width: 32px;\n",
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+              "\n",
+              "      .colab-df-generate: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",
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+              "\n",
+              "      [theme=dark] .colab-df-generate {\n",
+              "        background-color: #3B4455;\n",
+              "        fill: #D2E3FC;\n",
+              "      }\n",
+              "\n",
+              "      [theme=dark] .colab-df-generate: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",
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+              "    </style>\n",
+              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
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+              "\n",
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+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 768,\n  \"fields\": [\n    {\n      \"column\": \"Glucose\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31,\n        \"min\": 0,\n        \"max\": 199,\n        \"num_unique_values\": 136,\n        \"samples\": [\n          151,\n          101,\n          112\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"BloodPressure\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 19,\n        \"min\": 0,\n        \"max\": 122,\n        \"num_unique_values\": 47,\n        \"samples\": [\n          86,\n          46,\n          85\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Insulin\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 115,\n        \"min\": 0,\n        \"max\": 846,\n        \"num_unique_values\": 186,\n        \"samples\": [\n          52,\n          41,\n          183\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"BMI\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.884160320375446,\n        \"min\": 0.0,\n        \"max\": 67.1,\n        \"num_unique_values\": 248,\n        \"samples\": [\n          19.9,\n          31.0,\n          38.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 11,\n        \"min\": 21,\n        \"max\": 81,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          60,\n          47,\n          72\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Outcome\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 6
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "x_data = df.drop(['Outcome'], axis = 1)\n",
+        "y = df.Outcome.values"
+      ],
+      "metadata": {
+        "id": "jvdxSOtN35up"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "x_train, x_test, y_train, y_test = train_test_split(x_data, y, test_size = 0.2, random_state= 0)"
+      ],
+      "metadata": {
+        "id": "dHaFMd8A94Ks"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.ensemble import RandomForestClassifier\n",
+        "rf = RandomForestClassifier(n_estimators = 1000, random_state= 1)\n",
+        "rf.fit(x_train, y_train)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 74
+        },
+        "id": "LvD2S2ZI7ucw",
+        "outputId": "e4fd08d0-a046-4e35-8c6c-ed4c64eaeb67"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "RandomForestClassifier(n_estimators=1000, random_state=1)"
+            ],
+            "text/html": [
+              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(n_estimators=1000, random_state=1)</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(n_estimators=1000, random_state=1)</pre></div></div></div></div></div>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 9
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "y_pred=rf.predict(x_test)"
+      ],
+      "metadata": {
+        "id": "M66dC8FOXNEt"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.metrics import classification_report\n",
+        "print(classification_report(y_pred,y_test))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "L06DnXKhXPzS",
+        "outputId": "4ea67626-fba1-45de-9cc3-290c784e15f7"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "              precision    recall  f1-score   support\n",
+            "\n",
+            "           0       0.86      0.86      0.86       107\n",
+            "           1       0.68      0.68      0.68        47\n",
+            "\n",
+            "    accuracy                           0.81       154\n",
+            "   macro avg       0.77      0.77      0.77       154\n",
+            "weighted avg       0.81      0.81      0.81       154\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pickle\n",
+        "\n",
+        "with open('sk.pkl','wb') as f:\n",
+        "    pickle.dump(rf,f)\n",
+        "\n",
+        "# load\n",
+        "with open('sk.pkl', 'rb') as f:\n",
+        "    rf = pickle.load(f)"
+      ],
+      "metadata": {
+        "id": "4IrkPQCLXhYw"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}

sk.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4437736ad5c632de77920c00bbfc19998031da4fd98eca74f847e0c515891e41
+size 16030490

survey lung cancer.csv

@@ -0,0 +1,310 @@
+GENDER,AGE,SMOKING,YELLOW_FINGERS,ANXIETY,PEER_PRESSURE,CHRONIC DISEASE,FATIGUE ,ALLERGY ,WHEEZING,ALCOHOL CONSUMING,COUGHING,SHORTNESS OF BREATH,SWALLOWING DIFFICULTY,CHEST PAIN,LUNG_CANCER
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+M,70,2,1,1,1,1,1,2,1,2,2,1,1,2,YES
+F,53,1,2,2,2,2,2,2,1,1,2,2,1,1,YES
+M,51,2,1,1,1,1,2,1,2,2,2,2,1,2,YES
+M,58,2,2,2,2,2,1,1,1,2,1,1,2,2,YES
+F,58,2,2,2,2,1,2,1,1,1,2,2,2,1,YES
+F,63,1,1,1,1,2,2,1,1,1,1,2,1,1,NO
+F,51,2,2,2,2,1,2,1,1,1,1,2,2,1,YES
+F,61,1,2,2,2,1,1,2,2,1,2,1,2,1,YES
+F,61,2,1,1,1,2,2,2,1,1,1,2,1,1,YES
+M,76,2,1,1,1,1,2,2,2,2,2,2,1,2,YES
+M,71,2,2,2,1,2,1,2,2,2,2,1,2,2,YES
+M,69,1,1,2,1,1,2,1,2,2,2,2,2,1,YES
+F,56,2,2,2,1,1,2,2,1,1,1,2,1,2,YES
+M,67,1,1,1,2,1,2,1,2,1,2,2,1,2,YES
+F,54,2,2,2,1,2,1,1,2,2,1,2,2,2,YES
+M,63,1,2,1,1,1,2,1,2,2,2,2,1,1,YES
+F,47,2,2,1,2,2,2,2,2,1,2,2,1,1,YES
+M,62,2,1,2,1,1,2,1,2,2,2,2,1,2,YES
+M,65,2,2,2,2,1,2,2,1,1,1,2,2,1,YES
+F,63,2,2,2,2,2,2,2,2,1,2,2,2,2,YES
+M,64,1,2,2,2,1,1,2,1,2,1,1,2,2,YES
+F,65,2,2,2,2,1,2,1,2,1,2,2,2,1,YES
+M,51,1,2,1,1,2,2,2,2,2,2,2,1,2,YES
+F,56,1,1,1,2,2,2,1,1,2,2,2,2,1,YES
+M,70,2,1,1,1,1,2,2,2,2,2,2,1,2,YES
+M,58,2,1,1,1,1,1,2,2,2,2,1,1,2,YES
+M,67,2,1,2,1,1,2,2,1,2,2,2,1,2,YES
+M,62,1,1,1,2,1,2,2,2,2,1,1,2,1,YES
+F,74,1,2,2,2,2,2,1,2,2,1,1,1,1,YES
+M,69,2,1,1,2,1,1,1,1,1,1,1,1,2,NO
+F,64,2,2,1,2,2,1,1,1,1,1,1,1,1,NO
+M,75,2,2,2,2,2,1,1,1,1,1,1,1,2,YES
+M,47,2,2,1,1,2,1,1,1,1,1,1,1,2,NO
+F,57,2,2,1,2,1,1,1,1,1,1,1,1,2,NO
+F,56,1,1,2,2,2,2,2,2,2,1,2,2,2,YES
+M,68,1,1,2,2,2,1,1,1,2,1,1,1,1,NO
+F,55,1,1,1,2,2,2,2,2,2,1,1,1,2,YES
+M,62,2,2,2,1,2,2,2,2,1,1,2,1,1,YES
+F,73,2,1,1,2,1,2,2,2,2,2,1,2,2,YES
+M,68,2,1,1,2,2,2,2,2,2,2,2,2,2,YES
+F,75,1,2,1,2,2,2,2,1,2,2,1,1,1,YES
+M,63,1,2,2,1,2,1,2,2,2,2,1,2,1,YES
+F,61,1,2,1,2,1,2,1,1,1,2,2,1,2,YES
+M,62,1,1,1,1,2,1,2,1,2,2,2,2,2,YES
+M,44,1,2,1,2,2,2,1,2,1,1,2,2,2,YES
+M,56,2,2,2,2,1,2,2,1,2,2,2,1,2,YES
+M,54,1,2,1,2,2,2,2,2,2,2,1,2,2,YES
+F,57,1,2,2,1,1,1,1,1,1,2,1,1,1,NO
+M,56,1,2,1,2,1,2,2,2,2,2,1,1,1,YES
+F,69,1,1,2,1,2,1,2,2,2,1,1,2,1,YES
+M,72,1,2,1,2,1,2,2,2,2,2,2,1,2,YES
+F,59,2,2,2,2,2,2,1,2,1,2,1,2,2,YES
+F,70,1,2,1,1,2,2,2,2,1,2,2,1,2,YES
+M,64,2,1,1,1,1,2,1,2,2,2,2,1,1,YES
+F,61,2,2,2,2,1,2,2,1,1,1,2,2,2,YES
+F,72,2,2,2,2,1,2,1,2,1,2,2,2,1,YES
+M,63,2,2,2,2,1,1,2,1,2,1,1,2,2,YES
+F,74,2,2,2,2,1,2,1,2,1,2,2,2,1,YES
+M,71,1,1,1,1,2,2,2,2,2,2,2,1,2,YES
+F,71,2,1,1,1,2,2,1,1,1,1,2,1,1,NO
+M,72,2,1,1,1,1,2,2,2,2,2,2,1,2,YES
+M,77,2,1,1,1,1,1,2,2,2,2,1,1,1,YES
+F,72,1,2,2,2,2,2,1,1,1,1,1,1,1,YES
+M,55,2,1,1,1,1,2,1,1,1,1,1,1,1,YES
+M,65,2,2,2,2,2,1,1,1,1,1,1,1,1,YES
+F,67,2,2,2,2,1,2,1,1,1,1,1,1,1,YES
+F,69,1,1,1,1,2,2,1,1,1,1,1,1,1,YES
+F,55,2,2,2,2,2,2,1,1,1,1,1,1,1,YES
+F,51,2,2,2,2,2,1,1,1,1,1,1,1,1,YES
+F,64,1,1,1,2,2,1,1,1,1,1,1,1,1,YES
+M,63,1,1,1,1,2,2,2,1,2,2,2,1,2,YES
+M,69,1,2,2,1,1,1,1,2,2,2,2,2,1,YES
+M,64,1,2,2,1,2,1,2,1,2,2,2,1,2,YES
+M,59,1,2,2,1,1,2,1,2,1,1,1,2,2,YES
+F,73,2,2,2,1,2,1,2,1,2,1,1,1,1,YES
+F,55,2,1,1,2,2,2,2,2,2,1,1,2,2,YES
+F,63,1,1,1,2,1,1,1,2,2,1,1,2,2,YES
+F,60,1,1,1,1,2,2,2,1,1,2,2,1,2,YES
+M,74,2,1,1,1,2,2,2,2,2,1,1,2,2,YES
+F,65,1,2,2,2,2,1,2,2,2,2,2,2,1,YES
+M,79,2,1,1,1,2,2,2,1,2,2,2,2,2,YES
+M,62,1,2,2,2,1,2,1,1,1,1,1,2,2,YES
+F,71,2,2,2,1,1,1,2,1,2,2,2,1,2,YES
+M,63,2,1,1,2,1,1,1,1,1,2,2,1,1,NO
+M,67,1,2,2,2,1,2,2,1,1,2,1,2,1,YES
+M,55,2,1,1,1,1,2,2,2,2,2,2,1,2,YES
+M,54,2,1,1,1,1,1,2,2,2,2,1,1,1,YES
+F,77,1,2,2,2,2,2,2,2,1,2,2,2,2,YES
+M,58,2,1,1,1,1,2,2,2,2,2,2,1,2,YES
+M,64,2,2,2,2,2,1,1,1,2,1,1,2,2,YES
+F,61,2,2,2,2,1,2,1,1,1,2,2,2,2,YES
+F,62,1,1,1,1,2,2,1,1,1,1,2,1,1,NO
+F,67,2,2,2,2,2,2,1,1,1,1,2,2,1,YES
+F,56,2,2,2,2,2,1,2,2,2,1,1,2,2,YES
+F,70,1,1,1,2,2,1,2,1,2,2,2,1,1,YES
+M,70,1,1,1,1,2,2,2,1,2,2,2,1,2,YES
+F,57,1,1,2,2,2,2,2,2,2,1,2,2,2,YES
+M,61,1,1,2,2,2,1,1,1,2,1,1,1,1,NO
+F,77,1,1,1,2,2,2,2,2,2,1,1,1,2,YES
+M,63,2,2,2,1,2,2,2,2,1,1,2,1,1,YES
+F,62,2,1,1,2,1,2,2,2,2,2,1,2,2,YES
+M,59,2,1,1,2,2,2,2,2,2,2,2,2,2,YES
+F,70,1,2,1,2,2,2,2,1,2,2,1,1,1,YES
+M,71,1,2,2,1,2,1,2,2,2,2,1,2,1,YES
+F,56,1,2,1,2,1,2,1,1,1,2,2,1,2,YES
+M,57,1,1,1,1,2,1,2,1,2,2,2,2,2,YES
+M,78,1,2,1,2,2,2,1,2,1,1,2,2,2,YES
+M,64,2,2,2,2,1,2,2,1,2,2,2,1,2,YES
+M,62,1,2,1,2,2,2,2,2,2,2,1,2,2,YES
+F,49,1,2,2,1,1,1,1,1,1,2,1,1,1,YES
+M,77,1,2,1,2,1,2,2,2,2,2,1,1,1,YES
+F,64,1,1,2,1,2,1,2,2,2,1,1,2,1,YES
+M,63,1,2,1,2,1,2,2,2,2,2,2,1,2,YES
+F,54,2,2,2,2,2,2,1,2,1,2,1,2,2,YES
+F,38,1,2,1,1,2,2,2,2,1,2,2,1,2,YES
+F,75,1,2,2,2,1,1,2,2,1,2,1,2,1,YES
+F,70,2,1,1,2,2,1,2,1,1,1,2,1,1,YES
+M,59,2,1,1,1,1,2,2,2,2,2,2,1,2,YES
+M,77,2,2,2,1,2,1,2,2,1,1,1,2,2,YES
+M,61,1,1,2,1,2,2,1,2,2,2,2,2,1,YES
+F,64,2,2,2,1,1,2,2,1,1,1,2,1,2,YES
+M,59,1,1,1,2,1,2,1,2,1,1,2,1,2,NO
+F,71,2,2,2,1,2,1,1,2,2,1,2,2,2,YES
+M,67,1,2,1,1,1,2,1,2,2,2,2,1,1,YES
+F,64,2,2,1,2,2,2,2,2,1,2,2,1,1,YES
+M,68,2,1,2,1,1,2,1,1,1,1,1,1,1,NO
+M,69,2,2,2,2,1,2,2,1,1,1,2,2,1,YES
+F,64,2,2,2,2,2,2,2,2,1,2,2,2,2,YES
+M,59,1,2,2,2,2,1,2,1,2,1,1,2,2,YES
+F,67,2,2,2,2,1,2,1,2,1,2,2,2,1,YES
+M,74,1,2,1,1,2,2,2,2,2,2,2,1,2,YES
+F,77,1,1,1,2,2,2,1,1,2,2,2,2,1,YES
+M,60,2,1,1,1,1,2,2,2,2,2,2,1,2,YES
+M,64,2,1,1,1,1,1,2,2,2,2,1,1,2,YES
+M,70,2,1,2,1,1,2,2,1,2,2,2,1,2,YES
+M,58,1,1,1,2,1,2,2,2,2,1,1,2,1,YES
+F,59,1,2,2,2,2,2,1,2,2,1,1,1,1,YES
+M,39,2,1,1,2,1,2,2,2,2,1,2,1,2,YES
+F,67,1,2,1,1,1,1,1,2,1,2,2,1,1,NO
+F,71,1,2,1,1,2,2,2,2,1,2,2,1,1,YES
+M,70,2,1,1,1,1,2,1,2,2,2,2,1,2,YES
+F,60,2,2,2,2,1,2,2,1,1,1,2,2,1,YES
+F,55,2,1,2,1,1,2,1,1,1,1,1,1,1,NO
+M,60,2,2,2,2,2,1,2,1,2,1,1,2,2,YES
+F,55,2,2,2,2,2,2,1,2,1,2,2,2,1,YES
+M,55,1,1,1,1,2,2,2,2,2,2,2,1,2,YES
+F,70,2,1,1,1,1,2,1,1,1,1,2,1,1,NO
+M,63,2,1,1,1,1,2,2,2,2,2,2,1,2,YES
+M,64,2,1,1,1,1,1,2,2,2,2,1,1,2,NO
+F,59,1,2,2,2,2,2,2,2,1,2,2,2,1,YES
+M,56,2,1,1,1,2,1,2,2,2,2,2,1,2,YES
+M,64,2,2,2,2,2,1,1,1,2,1,1,2,2,YES
+F,62,2,2,2,2,2,2,1,1,1,2,2,1,1,YES
+F,87,1,1,1,1,2,2,1,1,1,1,2,1,1,NO
+F,77,2,2,2,2,2,2,1,1,1,1,2,2,1,YES
+F,59,1,2,2,2,1,1,2,2,1,2,1,2,1,YES
+F,59,2,1,1,1,2,2,2,1,1,1,2,1,1,NO
+M,55,2,1,1,1,1,2,2,1,1,1,2,1,2,NO
+M,46,1,2,2,1,1,1,1,1,1,1,1,2,2,NO
+M,60,1,2,2,1,1,2,1,2,2,2,2,2,2,YES
+M,58,2,2,2,2,2,1,1,1,2,1,1,2,2,YES
+F,58,2,2,2,2,1,2,1,1,1,2,2,2,1,YES
+F,63,1,1,1,1,2,2,1,1,1,1,2,1,1,NO
+F,51,2,2,2,2,1,2,1,1,1,1,2,2,1,YES
+F,61,1,2,2,2,1,1,2,2,1,2,1,2,1,YES
+F,61,2,1,1,1,2,2,2,1,1,1,2,1,1,YES
+M,76,2,1,1,1,1,2,2,2,2,2,2,1,2,YES
+M,71,2,2,2,1,2,1,2,2,2,2,1,2,2,YES
+M,69,1,1,2,1,1,2,1,2,2,2,2,2,1,YES
+F,56,2,2,2,1,1,2,2,1,1,1,2,1,2,YES
+M,67,1,1,1,2,1,2,1,2,1,2,2,1,2,YES
+F,54,2,2,2,1,2,1,1,2,2,1,2,2,2,YES
+M,63,1,2,1,1,1,2,1,2,2,2,2,1,1,YES
+F,47,2,2,1,2,2,2,2,2,1,2,2,1,1,YES
+M,62,2,1,2,1,1,2,1,2,2,2,2,1,2,YES
+M,65,2,2,2,2,1,2,2,1,1,1,2,2,1,YES
+F,63,2,2,2,2,2,2,2,2,1,2,2,2,2,YES
+M,64,1,2,2,2,1,1,2,1,2,1,1,2,2,YES
+F,65,2,2,2,2,1,2,1,2,1,2,2,2,1,YES
+M,51,1,2,1,1,2,2,2,2,2,2,2,1,2,YES
+F,56,1,1,1,2,2,2,1,1,2,2,2,2,1,YES
+M,70,2,1,1,1,1,2,2,2,2,2,2,1,2,YES
+M,58,2,1,1,1,1,1,2,2,2,2,1,1,2,YES
+M,67,2,1,2,1,1,2,2,1,2,2,2,1,2,YES
+M,62,1,1,1,2,1,2,2,2,2,1,1,2,1,YES