Cardiovascular_model_auto_optimization.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vclM__5SVUq-"
      },
      "source": [
        "## Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4Wesflec04n_",
        "outputId": "96728756-aaf3-46fd-ba47-f91957b0bf6b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting keras-tuner\n",
            "  Downloading keras_tuner-1.4.5-py3-none-any.whl (129 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m129.5/129.5 kB\u001b[0m \u001b[31m1.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting keras-core (from keras-tuner)\n",
            "  Downloading keras_core-0.1.7-py3-none-any.whl (950 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m950.8/950.8 kB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from keras-tuner) (23.2)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from keras-tuner) (2.31.0)\n",
            "Collecting kt-legacy (from keras-tuner)\n",
            "  Downloading kt_legacy-1.0.5-py3-none-any.whl (9.6 kB)\n",
            "Requirement already satisfied: absl-py in /usr/local/lib/python3.10/dist-packages (from keras-core->keras-tuner) (1.4.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from keras-core->keras-tuner) (1.23.5)\n",
            "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from keras-core->keras-tuner) (13.6.0)\n",
            "Collecting namex (from keras-core->keras-tuner)\n",
            "  Downloading namex-0.0.7-py3-none-any.whl (5.8 kB)\n",
            "Requirement already satisfied: h5py in /usr/local/lib/python3.10/dist-packages (from keras-core->keras-tuner) (3.9.0)\n",
            "Requirement already satisfied: dm-tree in /usr/local/lib/python3.10/dist-packages (from keras-core->keras-tuner) (0.1.8)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->keras-tuner) (3.3.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->keras-tuner) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->keras-tuner) (2.0.6)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->keras-tuner) (2023.7.22)\n",
            "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras-core->keras-tuner) (3.0.0)\n",
            "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras-core->keras-tuner) (2.16.1)\n",
            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->keras-core->keras-tuner) (0.1.2)\n",
            "Installing collected packages: namex, kt-legacy, keras-core, keras-tuner\n",
            "Successfully installed keras-core-0.1.7 keras-tuner-1.4.5 kt-legacy-1.0.5 namex-0.0.7\n"
          ]
        }
      ],
      "source": [
        "!pip install keras-tuner"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 599
        },
        "id": "7pVpklu_VUrC",
        "outputId": "4ace21fa-8881-4f38-c395-28d13aa89cdd"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          id    age  gender  height  weight  ap_hi  ap_lo  cholesterol  gluc  \\\n",
              "0          0  18393       2     168    62.0    110     80            1     1   \n",
              "1          1  20228       1     156    85.0    140     90            3     1   \n",
              "2          2  18857       1     165    64.0    130     70            3     1   \n",
              "3          3  17623       2     169    82.0    150    100            1     1   \n",
              "4          4  17474       1     156    56.0    100     60            1     1   \n",
              "...      ...    ...     ...     ...     ...    ...    ...          ...   ...   \n",
              "68200  99993  19240       2     168    76.0    120     80            1     1   \n",
              "68201  99995  22601       1     158   126.0    140     90            2     2   \n",
              "68202  99996  19066       2     183   105.0    180     90            3     1   \n",
              "68203  99998  22431       1     163    72.0    135     80            1     2   \n",
              "68204  99999  20540       1     170    72.0    120     80            2     1   \n",
              "\n",
              "       smoke  alco  active  cardio  age_years        bmi  \\\n",
              "0          0     0       1       0         50  21.967120   \n",
              "1          0     0       1       1         55  34.927679   \n",
              "2          0     0       0       1         51  23.507805   \n",
              "3          0     0       1       1         48  28.710479   \n",
              "4          0     0       0       0         47  23.011177   \n",
              "...      ...   ...     ...     ...        ...        ...   \n",
              "68200      1     0       1       0         52  26.927438   \n",
              "68201      0     0       1       1         61  50.472681   \n",
              "68202      0     1       0       1         52  31.353579   \n",
              "68203      0     0       0       1         61  27.099251   \n",
              "68204      0     0       1       0         56  24.913495   \n",
              "\n",
              "                bp_category   bp_category_encoded  \n",
              "0      Hypertension Stage 1  Hypertension Stage 1  \n",
              "1      Hypertension Stage 2  Hypertension Stage 2  \n",
              "2      Hypertension Stage 1  Hypertension Stage 1  \n",
              "3      Hypertension Stage 2  Hypertension Stage 2  \n",
              "4                    Normal                Normal  \n",
              "...                     ...                   ...  \n",
              "68200  Hypertension Stage 1  Hypertension Stage 1  \n",
              "68201  Hypertension Stage 2  Hypertension Stage 2  \n",
              "68202  Hypertension Stage 2  Hypertension Stage 2  \n",
              "68203  Hypertension Stage 1  Hypertension Stage 1  \n",
              "68204  Hypertension Stage 1  Hypertension Stage 1  \n",
              "\n",
              "[68205 rows x 17 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-637fe182-3661-40de-a906-5a54951eabeb\" 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>id</th>\n",
              "      <th>age</th>\n",
              "      <th>gender</th>\n",
              "      <th>height</th>\n",
              "      <th>weight</th>\n",
              "      <th>ap_hi</th>\n",
              "      <th>ap_lo</th>\n",
              "      <th>cholesterol</th>\n",
              "      <th>gluc</th>\n",
              "      <th>smoke</th>\n",
              "      <th>alco</th>\n",
              "      <th>active</th>\n",
              "      <th>cardio</th>\n",
              "      <th>age_years</th>\n",
              "      <th>bmi</th>\n",
              "      <th>bp_category</th>\n",
              "      <th>bp_category_encoded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>18393</td>\n",
              "      <td>2</td>\n",
              "      <td>168</td>\n",
              "      <td>62.0</td>\n",
              "      <td>110</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>50</td>\n",
              "      <td>21.967120</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>20228</td>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>85.0</td>\n",
              "      <td>140</td>\n",
              "      <td>90</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55</td>\n",
              "      <td>34.927679</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>18857</td>\n",
              "      <td>1</td>\n",
              "      <td>165</td>\n",
              "      <td>64.0</td>\n",
              "      <td>130</td>\n",
              "      <td>70</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>51</td>\n",
              "      <td>23.507805</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>17623</td>\n",
              "      <td>2</td>\n",
              "      <td>169</td>\n",
              "      <td>82.0</td>\n",
              "      <td>150</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>48</td>\n",
              "      <td>28.710479</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>17474</td>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>56.0</td>\n",
              "      <td>100</td>\n",
              "      <td>60</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>47</td>\n",
              "      <td>23.011177</td>\n",
              "      <td>Normal</td>\n",
              "      <td>Normal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68200</th>\n",
              "      <td>99993</td>\n",
              "      <td>19240</td>\n",
              "      <td>2</td>\n",
              "      <td>168</td>\n",
              "      <td>76.0</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>52</td>\n",
              "      <td>26.927438</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68201</th>\n",
              "      <td>99995</td>\n",
              "      <td>22601</td>\n",
              "      <td>1</td>\n",
              "      <td>158</td>\n",
              "      <td>126.0</td>\n",
              "      <td>140</td>\n",
              "      <td>90</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>61</td>\n",
              "      <td>50.472681</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68202</th>\n",
              "      <td>99996</td>\n",
              "      <td>19066</td>\n",
              "      <td>2</td>\n",
              "      <td>183</td>\n",
              "      <td>105.0</td>\n",
              "      <td>180</td>\n",
              "      <td>90</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>52</td>\n",
              "      <td>31.353579</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68203</th>\n",
              "      <td>99998</td>\n",
              "      <td>22431</td>\n",
              "      <td>1</td>\n",
              "      <td>163</td>\n",
              "      <td>72.0</td>\n",
              "      <td>135</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>61</td>\n",
              "      <td>27.099251</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68204</th>\n",
              "      <td>99999</td>\n",
              "      <td>20540</td>\n",
              "      <td>1</td>\n",
              "      <td>170</td>\n",
              "      <td>72.0</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>56</td>\n",
              "      <td>24.913495</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>68205 rows × 17 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-637fe182-3661-40de-a906-5a54951eabeb')\"\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-637fe182-3661-40de-a906-5a54951eabeb 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-637fe182-3661-40de-a906-5a54951eabeb');\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-7c4d8e72-d6fb-4344-99b1-332f0d2d0537\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7c4d8e72-d6fb-4344-99b1-332f0d2d0537')\"\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-7c4d8e72-d6fb-4344-99b1-332f0d2d0537 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "# Import our dependencies\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
        "import pandas as pd\n",
        "import tensorflow as tf\n",
        "import sklearn as skl\n",
        "\n",
        "#  Import and read the charity_data.csv.\n",
        "import pandas as pd\n",
        "application_df = pd.read_csv(\"/content/Data/cardio_data_processed.csv\")\n",
        "application_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "uRHsgqclVUrF"
      },
      "outputs": [],
      "source": [
        "# Drop the non-beneficial columns\n",
        "application_df.drop(columns=['id', 'age', 'bp_category'], axis=1, inplace = True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P7L2PzjaVUrG",
        "outputId": "ccd50f6a-1bf7-48c2-c092-b900e6631324"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "gender                    2\n",
              "height                  106\n",
              "weight                  278\n",
              "ap_hi                    86\n",
              "ap_lo                    58\n",
              "cholesterol               3\n",
              "gluc                      3\n",
              "smoke                     2\n",
              "alco                      2\n",
              "active                    2\n",
              "cardio                    2\n",
              "age_years                28\n",
              "bmi                    3738\n",
              "bp_category_encoded       4\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "# Determine the number of unique values in each column.\n",
        "application_df.nunique()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sma4aNo4btu5",
        "outputId": "ef071067-3b1d-4f9d-9b7e-4076d01f01ed"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "gender                          2\n",
            "height                        250\n",
            "weight                      200.0\n",
            "ap_hi                         180\n",
            "ap_lo                         120\n",
            "cholesterol                     3\n",
            "gluc                            3\n",
            "smoke                           1\n",
            "alco                            1\n",
            "active                          1\n",
            "cardio                          1\n",
            "age_years                      64\n",
            "bmi                    298.666667\n",
            "bp_category_encoded        Normal\n",
            "dtype: object\n"
          ]
        }
      ],
      "source": [
        "# Finding the max for each column\n",
        "maximum = application_df.max()\n",
        "print(maximum)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GZJPrlxpdbkD",
        "outputId": "12faa48a-32a5-4fa9-c4ff-ba1f59e31d60"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "gender                        1\n",
            "height                       55\n",
            "weight                     11.0\n",
            "ap_hi                        90\n",
            "ap_lo                        60\n",
            "cholesterol                   1\n",
            "gluc                          1\n",
            "smoke                         0\n",
            "alco                          0\n",
            "active                        0\n",
            "cardio                        0\n",
            "age_years                    29\n",
            "bmi                    3.471784\n",
            "bp_category_encoded    Elevated\n",
            "dtype: object\n"
          ]
        }
      ],
      "source": [
        "# Finding the min for each column\n",
        "minimum = application_df.min()\n",
        "print(minimum)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x843yitigFBH",
        "outputId": "93b71c18-3a7c-4ecb-b288-8c1ad9c33e30"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "gender                   int64\n",
              "height                   int64\n",
              "weight                 float64\n",
              "ap_hi                    int64\n",
              "ap_lo                    int64\n",
              "cholesterol              int64\n",
              "gluc                     int64\n",
              "smoke                    int64\n",
              "alco                     int64\n",
              "active                   int64\n",
              "cardio                   int64\n",
              "age_years                int64\n",
              "bmi                    float64\n",
              "bp_category_encoded     object\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "# Looking at the data type for each column\n",
        "application_df.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "# Checking for outliers\n",
        "height_data = application_df['height']\n",
        "weight_data = application_df['weight']\n",
        "api_hi = application_df['ap_hi']\n",
        "api_lo = application_df['ap_lo']\n",
        "data = [height_data, weight_data, api_hi, api_lo]\n",
        "fig = plt.figure(figsize = (10, 7))\n",
        "plt.boxplot(data, labels = ['height', 'weight', 'ap_hi', 'ap_lo'], vert = False)\n",
        "plt.title('Outliers for Weight, Height, and Blood Pressure')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        },
        "id": "TbOJ8_shjLuE",
        "outputId": "0dd22434-2dbe-4d58-89a6-218b9cdb3924"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x700 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate outliers for height\n",
        "quartiles =height_data.quantile([.25,.5,.75])\n",
        "lowerq = quartiles[0.25]\n",
        "upperq = quartiles[0.75]\n",
        "iqr = upperq-lowerq\n",
        "\n",
        "print(f\"The lower quartile of height is: {lowerq}\")\n",
        "print(f\"The upper quartile of height is: {upperq}\")\n",
        "print(f\"The interquartile range of height is: {iqr}\")\n",
        "print(f\"The the median of height is: {quartiles[0.5]} \")\n",
        "\n",
        "lower_bound = lowerq - (1.5*iqr)\n",
        "upper_bound = upperq + (1.5*iqr)\n",
        "print(f\"Values below {lower_bound} could be outliers.\")\n",
        "print(f\"Values above {upper_bound} could be outliers.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7QWVoIBFjNIC",
        "outputId": "8595d46e-f37c-4c40-c3eb-ae04e4d85fbd"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The lower quartile of height is: 159.0\n",
            "The upper quartile of height is: 170.0\n",
            "The interquartile range of height is: 11.0\n",
            "The the median of height is: 165.0 \n",
            "Values below 142.5 could be outliers.\n",
            "Values above 186.5 could be outliers.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Eliminate outliers from the data for height\n",
        "application_df = application_df.loc[(application_df['height']>142) & (application_df['height']<187),:]\n",
        "application_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "ONILN8-zjNM9",
        "outputId": "9d5df993-d343-43e7-d395-a2b5d8239fd5"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       gender  height  weight  ap_hi  ap_lo  cholesterol  gluc  smoke  alco  \\\n",
              "0           2     168    62.0    110     80            1     1      0     0   \n",
              "1           1     156    85.0    140     90            3     1      0     0   \n",
              "2           1     165    64.0    130     70            3     1      0     0   \n",
              "3           2     169    82.0    150    100            1     1      0     0   \n",
              "4           1     156    56.0    100     60            1     1      0     0   \n",
              "...       ...     ...     ...    ...    ...          ...   ...    ...   ...   \n",
              "68200       2     168    76.0    120     80            1     1      1     0   \n",
              "68201       1     158   126.0    140     90            2     2      0     0   \n",
              "68202       2     183   105.0    180     90            3     1      0     1   \n",
              "68203       1     163    72.0    135     80            1     2      0     0   \n",
              "68204       1     170    72.0    120     80            2     1      0     0   \n",
              "\n",
              "       active  cardio  age_years        bmi   bp_category_encoded  \n",
              "0           1       0         50  21.967120  Hypertension Stage 1  \n",
              "1           1       1         55  34.927679  Hypertension Stage 2  \n",
              "2           0       1         51  23.507805  Hypertension Stage 1  \n",
              "3           1       1         48  28.710479  Hypertension Stage 2  \n",
              "4           0       0         47  23.011177                Normal  \n",
              "...       ...     ...        ...        ...                   ...  \n",
              "68200       1       0         52  26.927438  Hypertension Stage 1  \n",
              "68201       1       1         61  50.472681  Hypertension Stage 2  \n",
              "68202       0       1         52  31.353579  Hypertension Stage 2  \n",
              "68203       0       1         61  27.099251  Hypertension Stage 1  \n",
              "68204       1       0         56  24.913495  Hypertension Stage 1  \n",
              "\n",
              "[67703 rows x 14 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-617a62d7-eca1-42e9-9213-66089e58506f\" 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>height</th>\n",
              "      <th>weight</th>\n",
              "      <th>ap_hi</th>\n",
              "      <th>ap_lo</th>\n",
              "      <th>cholesterol</th>\n",
              "      <th>gluc</th>\n",
              "      <th>smoke</th>\n",
              "      <th>alco</th>\n",
              "      <th>active</th>\n",
              "      <th>cardio</th>\n",
              "      <th>age_years</th>\n",
              "      <th>bmi</th>\n",
              "      <th>bp_category_encoded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2</td>\n",
              "      <td>168</td>\n",
              "      <td>62.0</td>\n",
              "      <td>110</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>50</td>\n",
              "      <td>21.967120</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>85.0</td>\n",
              "      <td>140</td>\n",
              "      <td>90</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55</td>\n",
              "      <td>34.927679</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>165</td>\n",
              "      <td>64.0</td>\n",
              "      <td>130</td>\n",
              "      <td>70</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>51</td>\n",
              "      <td>23.507805</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>169</td>\n",
              "      <td>82.0</td>\n",
              "      <td>150</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>48</td>\n",
              "      <td>28.710479</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>56.0</td>\n",
              "      <td>100</td>\n",
              "      <td>60</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>47</td>\n",
              "      <td>23.011177</td>\n",
              "      <td>Normal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68200</th>\n",
              "      <td>2</td>\n",
              "      <td>168</td>\n",
              "      <td>76.0</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>52</td>\n",
              "      <td>26.927438</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68201</th>\n",
              "      <td>1</td>\n",
              "      <td>158</td>\n",
              "      <td>126.0</td>\n",
              "      <td>140</td>\n",
              "      <td>90</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>61</td>\n",
              "      <td>50.472681</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68202</th>\n",
              "      <td>2</td>\n",
              "      <td>183</td>\n",
              "      <td>105.0</td>\n",
              "      <td>180</td>\n",
              "      <td>90</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>52</td>\n",
              "      <td>31.353579</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68203</th>\n",
              "      <td>1</td>\n",
              "      <td>163</td>\n",
              "      <td>72.0</td>\n",
              "      <td>135</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>61</td>\n",
              "      <td>27.099251</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68204</th>\n",
              "      <td>1</td>\n",
              "      <td>170</td>\n",
              "      <td>72.0</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>56</td>\n",
              "      <td>24.913495</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>67703 rows × 14 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-617a62d7-eca1-42e9-9213-66089e58506f')\"\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-617a62d7-eca1-42e9-9213-66089e58506f 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-617a62d7-eca1-42e9-9213-66089e58506f');\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-bfec4629-1a60-4d8c-be30-d0320486b1f2\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-bfec4629-1a60-4d8c-be30-d0320486b1f2')\"\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-bfec4629-1a60-4d8c-be30-d0320486b1f2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate outliers for weight\n",
        "quartiles =weight_data.quantile([.25,.5,.75])\n",
        "lowerq = quartiles[0.25]\n",
        "upperq = quartiles[0.75]\n",
        "iqr = upperq-lowerq\n",
        "\n",
        "print(f\"The lower quartile of weight is: {lowerq}\")\n",
        "print(f\"The upper quartile of weight is: {upperq}\")\n",
        "print(f\"The interquartile range of weight is: {iqr}\")\n",
        "print(f\"The the median of weight is: {quartiles[0.5]} \")\n",
        "\n",
        "lower_bound = lowerq - (1.5*iqr)\n",
        "upper_bound = upperq + (1.5*iqr)\n",
        "print(f\"Values below {lower_bound} could be outliers.\")\n",
        "print(f\"Values above {upper_bound} could be outliers.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FY-IeL8PjNRM",
        "outputId": "fe5e3152-826d-4f60-b405-cd9ef1315e19"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The lower quartile of weight is: 65.0\n",
            "The upper quartile of weight is: 82.0\n",
            "The interquartile range of weight is: 17.0\n",
            "The the median of weight is: 72.0 \n",
            "Values below 39.5 could be outliers.\n",
            "Values above 107.5 could be outliers.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Removing weight outliers\n",
        "application_df = application_df.loc[(application_df['weight']>39) & (application_df['weight']<108),:]\n",
        "application_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "mP0KoJNBjNUh",
        "outputId": "06919e94-3b8f-4cf8-986e-ff728a9c429c"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       gender  height  weight  ap_hi  ap_lo  cholesterol  gluc  smoke  alco  \\\n",
              "0           2     168    62.0    110     80            1     1      0     0   \n",
              "1           1     156    85.0    140     90            3     1      0     0   \n",
              "2           1     165    64.0    130     70            3     1      0     0   \n",
              "3           2     169    82.0    150    100            1     1      0     0   \n",
              "4           1     156    56.0    100     60            1     1      0     0   \n",
              "...       ...     ...     ...    ...    ...          ...   ...    ...   ...   \n",
              "68199       1     165    80.0    150     80            1     1      0     0   \n",
              "68200       2     168    76.0    120     80            1     1      1     0   \n",
              "68202       2     183   105.0    180     90            3     1      0     1   \n",
              "68203       1     163    72.0    135     80            1     2      0     0   \n",
              "68204       1     170    72.0    120     80            2     1      0     0   \n",
              "\n",
              "       active  cardio  age_years        bmi   bp_category_encoded  \n",
              "0           1       0         50  21.967120  Hypertension Stage 1  \n",
              "1           1       1         55  34.927679  Hypertension Stage 2  \n",
              "2           0       1         51  23.507805  Hypertension Stage 1  \n",
              "3           1       1         48  28.710479  Hypertension Stage 2  \n",
              "4           0       0         47  23.011177                Normal  \n",
              "...       ...     ...        ...        ...                   ...  \n",
              "68199       1       1         57  29.384757  Hypertension Stage 1  \n",
              "68200       1       0         52  26.927438  Hypertension Stage 1  \n",
              "68202       0       1         52  31.353579  Hypertension Stage 2  \n",
              "68203       0       1         61  27.099251  Hypertension Stage 1  \n",
              "68204       1       0         56  24.913495  Hypertension Stage 1  \n",
              "\n",
              "[66051 rows x 14 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-05c20723-5465-4551-ad46-6397dacfd15e\" 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>height</th>\n",
              "      <th>weight</th>\n",
              "      <th>ap_hi</th>\n",
              "      <th>ap_lo</th>\n",
              "      <th>cholesterol</th>\n",
              "      <th>gluc</th>\n",
              "      <th>smoke</th>\n",
              "      <th>alco</th>\n",
              "      <th>active</th>\n",
              "      <th>cardio</th>\n",
              "      <th>age_years</th>\n",
              "      <th>bmi</th>\n",
              "      <th>bp_category_encoded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2</td>\n",
              "      <td>168</td>\n",
              "      <td>62.0</td>\n",
              "      <td>110</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>50</td>\n",
              "      <td>21.967120</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>85.0</td>\n",
              "      <td>140</td>\n",
              "      <td>90</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55</td>\n",
              "      <td>34.927679</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>165</td>\n",
              "      <td>64.0</td>\n",
              "      <td>130</td>\n",
              "      <td>70</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>51</td>\n",
              "      <td>23.507805</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>169</td>\n",
              "      <td>82.0</td>\n",
              "      <td>150</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>48</td>\n",
              "      <td>28.710479</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>56.0</td>\n",
              "      <td>100</td>\n",
              "      <td>60</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>47</td>\n",
              "      <td>23.011177</td>\n",
              "      <td>Normal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68199</th>\n",
              "      <td>1</td>\n",
              "      <td>165</td>\n",
              "      <td>80.0</td>\n",
              "      <td>150</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>57</td>\n",
              "      <td>29.384757</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68200</th>\n",
              "      <td>2</td>\n",
              "      <td>168</td>\n",
              "      <td>76.0</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>52</td>\n",
              "      <td>26.927438</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68202</th>\n",
              "      <td>2</td>\n",
              "      <td>183</td>\n",
              "      <td>105.0</td>\n",
              "      <td>180</td>\n",
              "      <td>90</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>52</td>\n",
              "      <td>31.353579</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68203</th>\n",
              "      <td>1</td>\n",
              "      <td>163</td>\n",
              "      <td>72.0</td>\n",
              "      <td>135</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>61</td>\n",
              "      <td>27.099251</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68204</th>\n",
              "      <td>1</td>\n",
              "      <td>170</td>\n",
              "      <td>72.0</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>56</td>\n",
              "      <td>24.913495</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>66051 rows × 14 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-05c20723-5465-4551-ad46-6397dacfd15e')\"\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-05c20723-5465-4551-ad46-6397dacfd15e 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-05c20723-5465-4551-ad46-6397dacfd15e');\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-92624133-3186-4022-948c-a4f51bd43f15\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-92624133-3186-4022-948c-a4f51bd43f15')\"\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-92624133-3186-4022-948c-a4f51bd43f15 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate outliers for Systolic blood pressure (ap_hi)\n",
        "quartiles = api_hi.quantile([.25,.5,.75])\n",
        "lowerq = quartiles[0.25]\n",
        "upperq = quartiles[0.75]\n",
        "iqr = upperq-lowerq\n",
        "\n",
        "print(f\"The lower quartile of systolic blood pressure is: {lowerq}\")\n",
        "print(f\"The upper quartile of systolic blood pressure is: {upperq}\")\n",
        "print(f\"The interquartile range of systolic blood pressure is: {iqr}\")\n",
        "print(f\"The the median of systolic blood pressure is: {quartiles[0.5]} \")\n",
        "\n",
        "lower_bound = lowerq - (1.5*iqr)\n",
        "upper_bound = upperq + (1.5*iqr)\n",
        "print(f\"Values below {lower_bound} could be outliers.\")\n",
        "print(f\"Values above {upper_bound} could be outliers.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L-2eg3oSJp7Y",
        "outputId": "d5df5150-5824-4d36-b7eb-694e3369e2b4"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The lower quartile of systolic blood pressure is: 120.0\n",
            "The upper quartile of systolic blood pressure is: 140.0\n",
            "The interquartile range of systolic blood pressure is: 20.0\n",
            "The the median of systolic blood pressure is: 120.0 \n",
            "Values below 90.0 could be outliers.\n",
            "Values above 170.0 could be outliers.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "application_df = application_df.loc[(application_df['ap_hi']>89.5) & (application_df['ap_hi']<170.5),:]\n",
        "application_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "XzGglGruJqFv",
        "outputId": "9ba5ec6a-dac6-4bf2-f397-7b6fc9cb2482"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       gender  height  weight  ap_hi  ap_lo  cholesterol  gluc  smoke  alco  \\\n",
              "0           2     168    62.0    110     80            1     1      0     0   \n",
              "1           1     156    85.0    140     90            3     1      0     0   \n",
              "2           1     165    64.0    130     70            3     1      0     0   \n",
              "3           2     169    82.0    150    100            1     1      0     0   \n",
              "4           1     156    56.0    100     60            1     1      0     0   \n",
              "...       ...     ...     ...    ...    ...          ...   ...    ...   ...   \n",
              "68198       1     172    70.0    130     90            1     1      0     0   \n",
              "68199       1     165    80.0    150     80            1     1      0     0   \n",
              "68200       2     168    76.0    120     80            1     1      1     0   \n",
              "68203       1     163    72.0    135     80            1     2      0     0   \n",
              "68204       1     170    72.0    120     80            2     1      0     0   \n",
              "\n",
              "       active  cardio  age_years        bmi   bp_category_encoded  \n",
              "0           1       0         50  21.967120  Hypertension Stage 1  \n",
              "1           1       1         55  34.927679  Hypertension Stage 2  \n",
              "2           0       1         51  23.507805  Hypertension Stage 1  \n",
              "3           1       1         48  28.710479  Hypertension Stage 2  \n",
              "4           0       0         47  23.011177                Normal  \n",
              "...       ...     ...        ...        ...                   ...  \n",
              "68198       1       1         53  23.661439  Hypertension Stage 1  \n",
              "68199       1       1         57  29.384757  Hypertension Stage 1  \n",
              "68200       1       0         52  26.927438  Hypertension Stage 1  \n",
              "68203       0       1         61  27.099251  Hypertension Stage 1  \n",
              "68204       1       0         56  24.913495  Hypertension Stage 1  \n",
              "\n",
              "[65470 rows x 14 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5db80df7-e988-4fb9-b228-b8369028f949\" 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>height</th>\n",
              "      <th>weight</th>\n",
              "      <th>ap_hi</th>\n",
              "      <th>ap_lo</th>\n",
              "      <th>cholesterol</th>\n",
              "      <th>gluc</th>\n",
              "      <th>smoke</th>\n",
              "      <th>alco</th>\n",
              "      <th>active</th>\n",
              "      <th>cardio</th>\n",
              "      <th>age_years</th>\n",
              "      <th>bmi</th>\n",
              "      <th>bp_category_encoded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2</td>\n",
              "      <td>168</td>\n",
              "      <td>62.0</td>\n",
              "      <td>110</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>50</td>\n",
              "      <td>21.967120</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>85.0</td>\n",
              "      <td>140</td>\n",
              "      <td>90</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55</td>\n",
              "      <td>34.927679</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>165</td>\n",
              "      <td>64.0</td>\n",
              "      <td>130</td>\n",
              "      <td>70</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>51</td>\n",
              "      <td>23.507805</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>169</td>\n",
              "      <td>82.0</td>\n",
              "      <td>150</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>48</td>\n",
              "      <td>28.710479</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>56.0</td>\n",
              "      <td>100</td>\n",
              "      <td>60</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>47</td>\n",
              "      <td>23.011177</td>\n",
              "      <td>Normal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68198</th>\n",
              "      <td>1</td>\n",
              "      <td>172</td>\n",
              "      <td>70.0</td>\n",
              "      <td>130</td>\n",
              "      <td>90</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>53</td>\n",
              "      <td>23.661439</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68199</th>\n",
              "      <td>1</td>\n",
              "      <td>165</td>\n",
              "      <td>80.0</td>\n",
              "      <td>150</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>57</td>\n",
              "      <td>29.384757</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68200</th>\n",
              "      <td>2</td>\n",
              "      <td>168</td>\n",
              "      <td>76.0</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>52</td>\n",
              "      <td>26.927438</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68203</th>\n",
              "      <td>1</td>\n",
              "      <td>163</td>\n",
              "      <td>72.0</td>\n",
              "      <td>135</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>61</td>\n",
              "      <td>27.099251</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68204</th>\n",
              "      <td>1</td>\n",
              "      <td>170</td>\n",
              "      <td>72.0</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>56</td>\n",
              "      <td>24.913495</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>65470 rows × 14 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-5db80df7-e988-4fb9-b228-b8369028f949')\"\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-5db80df7-e988-4fb9-b228-b8369028f949 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-5db80df7-e988-4fb9-b228-b8369028f949');\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-a89c1b52-bbc7-4f6d-8945-388a69d390f6\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a89c1b52-bbc7-4f6d-8945-388a69d390f6')\"\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-a89c1b52-bbc7-4f6d-8945-388a69d390f6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate outliers for Diastolic blood pressuree (ap_lo)\n",
        "quartiles = api_lo.quantile([.25,.5,.75])\n",
        "lowerq = quartiles[0.25]\n",
        "upperq = quartiles[0.75]\n",
        "iqr = upperq-lowerq\n",
        "\n",
        "print(f\"The lower quartile of diastolic blood pressure is: {lowerq}\")\n",
        "print(f\"The upper quartile of diastolic blood pressure is: {upperq}\")\n",
        "print(f\"The interquartile range of diastolic blood pressure is: {iqr}\")\n",
        "print(f\"The the median of diastolic blood pressure is: {quartiles[0.5]} \")\n",
        "\n",
        "lower_bound = lowerq - (1.5*iqr)\n",
        "upper_bound = upperq + (1.5*iqr)\n",
        "print(f\"Values below {lower_bound} could be outliers.\")\n",
        "print(f\"Values above {upper_bound} could be outliers.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U2reTm5rJqMk",
        "outputId": "9d4c79f6-0d28-4d75-caca-a2133b1f9c32"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The lower quartile of diastolic blood pressure is: 80.0\n",
            "The upper quartile of diastolic blood pressure is: 90.0\n",
            "The interquartile range of diastolic blood pressure is: 10.0\n",
            "The the median of diastolic blood pressure is: 80.0 \n",
            "Values below 65.0 could be outliers.\n",
            "Values above 105.0 could be outliers.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "application_df = application_df.loc[(application_df['ap_lo']>64.5) & (application_df['ap_lo']<105.5),:]\n",
        "application_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "P3EHSfG1JqSL",
        "outputId": "d720bdb8-3042-4c00-af0b-1cb8114572bf"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       gender  height  weight  ap_hi  ap_lo  cholesterol  gluc  smoke  alco  \\\n",
              "0           2     168    62.0    110     80            1     1      0     0   \n",
              "1           1     156    85.0    140     90            3     1      0     0   \n",
              "2           1     165    64.0    130     70            3     1      0     0   \n",
              "3           2     169    82.0    150    100            1     1      0     0   \n",
              "5           1     151    67.0    120     80            2     2      0     0   \n",
              "...       ...     ...     ...    ...    ...          ...   ...    ...   ...   \n",
              "68198       1     172    70.0    130     90            1     1      0     0   \n",
              "68199       1     165    80.0    150     80            1     1      0     0   \n",
              "68200       2     168    76.0    120     80            1     1      1     0   \n",
              "68203       1     163    72.0    135     80            1     2      0     0   \n",
              "68204       1     170    72.0    120     80            2     1      0     0   \n",
              "\n",
              "       active  cardio  age_years        bmi   bp_category_encoded  \n",
              "0           1       0         50  21.967120  Hypertension Stage 1  \n",
              "1           1       1         55  34.927679  Hypertension Stage 2  \n",
              "2           0       1         51  23.507805  Hypertension Stage 1  \n",
              "3           1       1         48  28.710479  Hypertension Stage 2  \n",
              "5           0       0         60  29.384676  Hypertension Stage 1  \n",
              "...       ...     ...        ...        ...                   ...  \n",
              "68198       1       1         53  23.661439  Hypertension Stage 1  \n",
              "68199       1       1         57  29.384757  Hypertension Stage 1  \n",
              "68200       1       0         52  26.927438  Hypertension Stage 1  \n",
              "68203       0       1         61  27.099251  Hypertension Stage 1  \n",
              "68204       1       0         56  24.913495  Hypertension Stage 1  \n",
              "\n",
              "[62505 rows x 14 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-116c483a-4f27-4d7f-8bec-68b88461564b\" 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>height</th>\n",
              "      <th>weight</th>\n",
              "      <th>ap_hi</th>\n",
              "      <th>ap_lo</th>\n",
              "      <th>cholesterol</th>\n",
              "      <th>gluc</th>\n",
              "      <th>smoke</th>\n",
              "      <th>alco</th>\n",
              "      <th>active</th>\n",
              "      <th>cardio</th>\n",
              "      <th>age_years</th>\n",
              "      <th>bmi</th>\n",
              "      <th>bp_category_encoded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2</td>\n",
              "      <td>168</td>\n",
              "      <td>62.0</td>\n",
              "      <td>110</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>50</td>\n",
              "      <td>21.967120</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>85.0</td>\n",
              "      <td>140</td>\n",
              "      <td>90</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55</td>\n",
              "      <td>34.927679</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>165</td>\n",
              "      <td>64.0</td>\n",
              "      <td>130</td>\n",
              "      <td>70</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>51</td>\n",
              "      <td>23.507805</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>169</td>\n",
              "      <td>82.0</td>\n",
              "      <td>150</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>48</td>\n",
              "      <td>28.710479</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1</td>\n",
              "      <td>151</td>\n",
              "      <td>67.0</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>60</td>\n",
              "      <td>29.384676</td>\n",
              "      <td>Hypertension Stage 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",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68198</th>\n",
              "      <td>1</td>\n",
              "      <td>172</td>\n",
              "      <td>70.0</td>\n",
              "      <td>130</td>\n",
              "      <td>90</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>53</td>\n",
              "      <td>23.661439</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68199</th>\n",
              "      <td>1</td>\n",
              "      <td>165</td>\n",
              "      <td>80.0</td>\n",
              "      <td>150</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>57</td>\n",
              "      <td>29.384757</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68200</th>\n",
              "      <td>2</td>\n",
              "      <td>168</td>\n",
              "      <td>76.0</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>52</td>\n",
              "      <td>26.927438</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68203</th>\n",
              "      <td>1</td>\n",
              "      <td>163</td>\n",
              "      <td>72.0</td>\n",
              "      <td>135</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>61</td>\n",
              "      <td>27.099251</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68204</th>\n",
              "      <td>1</td>\n",
              "      <td>170</td>\n",
              "      <td>72.0</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>56</td>\n",
              "      <td>24.913495</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>62505 rows × 14 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-116c483a-4f27-4d7f-8bec-68b88461564b')\"\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-116c483a-4f27-4d7f-8bec-68b88461564b 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-116c483a-4f27-4d7f-8bec-68b88461564b');\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-2d44d7f0-c5e3-4bc0-81e8-f1bf107a274f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2d44d7f0-c5e3-4bc0-81e8-f1bf107a274f')\"\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-2d44d7f0-c5e3-4bc0-81e8-f1bf107a274f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Delete height and weight column as they are no longer needed\n",
        "application_df = application_df.drop(columns = ['height', 'weight', 'ap_hi', 'ap_lo'])\n",
        "application_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "34Msl2Nwjw9d",
        "outputId": "148ed752-0177-49ea-e4d3-5df63f259994"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       gender  cholesterol  gluc  smoke  alco  active  cardio  age_years  \\\n",
              "0           2            1     1      0     0       1       0         50   \n",
              "1           1            3     1      0     0       1       1         55   \n",
              "2           1            3     1      0     0       0       1         51   \n",
              "3           2            1     1      0     0       1       1         48   \n",
              "5           1            2     2      0     0       0       0         60   \n",
              "...       ...          ...   ...    ...   ...     ...     ...        ...   \n",
              "68198       1            1     1      0     0       1       1         53   \n",
              "68199       1            1     1      0     0       1       1         57   \n",
              "68200       2            1     1      1     0       1       0         52   \n",
              "68203       1            1     2      0     0       0       1         61   \n",
              "68204       1            2     1      0     0       1       0         56   \n",
              "\n",
              "             bmi   bp_category_encoded  \n",
              "0      21.967120  Hypertension Stage 1  \n",
              "1      34.927679  Hypertension Stage 2  \n",
              "2      23.507805  Hypertension Stage 1  \n",
              "3      28.710479  Hypertension Stage 2  \n",
              "5      29.384676  Hypertension Stage 1  \n",
              "...          ...                   ...  \n",
              "68198  23.661439  Hypertension Stage 1  \n",
              "68199  29.384757  Hypertension Stage 1  \n",
              "68200  26.927438  Hypertension Stage 1  \n",
              "68203  27.099251  Hypertension Stage 1  \n",
              "68204  24.913495  Hypertension Stage 1  \n",
              "\n",
              "[62505 rows x 10 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-14225c3d-26af-4535-a4fa-378dfd798256\" 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>cholesterol</th>\n",
              "      <th>gluc</th>\n",
              "      <th>smoke</th>\n",
              "      <th>alco</th>\n",
              "      <th>active</th>\n",
              "      <th>cardio</th>\n",
              "      <th>age_years</th>\n",
              "      <th>bmi</th>\n",
              "      <th>bp_category_encoded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>50</td>\n",
              "      <td>21.967120</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55</td>\n",
              "      <td>34.927679</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>51</td>\n",
              "      <td>23.507805</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>48</td>\n",
              "      <td>28.710479</td>\n",
              "      <td>Hypertension Stage 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>60</td>\n",
              "      <td>29.384676</td>\n",
              "      <td>Hypertension Stage 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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68198</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>53</td>\n",
              "      <td>23.661439</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68199</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>57</td>\n",
              "      <td>29.384757</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68200</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>52</td>\n",
              "      <td>26.927438</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68203</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>61</td>\n",
              "      <td>27.099251</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68204</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>56</td>\n",
              "      <td>24.913495</td>\n",
              "      <td>Hypertension Stage 1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>62505 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-14225c3d-26af-4535-a4fa-378dfd798256')\"\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-14225c3d-26af-4535-a4fa-378dfd798256 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-14225c3d-26af-4535-a4fa-378dfd798256');\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-2f308fa9-4f20-49f7-8fb5-727170586164\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2f308fa9-4f20-49f7-8fb5-727170586164')\"\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-2f308fa9-4f20-49f7-8fb5-727170586164 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Looking at the updated minimum for bmi\n",
        "minimum = application_df.min()\n",
        "print(minimum)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MXa58b_qjxD7",
        "outputId": "3752937e-0eed-4d06-d40e-7489c03e9c46"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "gender                         1\n",
            "cholesterol                    1\n",
            "gluc                           1\n",
            "smoke                          0\n",
            "alco                           0\n",
            "active                         0\n",
            "cardio                         0\n",
            "age_years                     29\n",
            "bmi                    13.520822\n",
            "bp_category_encoded     Elevated\n",
            "dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Looking at the updated minimum for bmi\n",
        "maximum = application_df.max()\n",
        "print(maximum)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p6On3-OFj8hz",
        "outputId": "5cd911d9-cc14-4830-fa7d-e5daea046ee7"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "gender                         2\n",
            "cholesterol                    3\n",
            "gluc                           3\n",
            "smoke                          1\n",
            "alco                           1\n",
            "active                         1\n",
            "cardio                         1\n",
            "age_years                     64\n",
            "bmi                    50.891795\n",
            "bp_category_encoded       Normal\n",
            "dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "gANMcXqLfozQ",
        "outputId": "53a366ff-53f4-468e-96b1-7cee749edd4b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Elevated  Hypertension Stage 1  Hypertension Stage 2  Normal\n",
              "0         0                     1                     0       0\n",
              "1         0                     0                     1       0\n",
              "2         0                     1                     0       0\n",
              "3         0                     0                     1       0\n",
              "5         0                     1                     0       0"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ad1d5a4f-3ce1-4ef6-938a-2f71540b0181\" 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>Elevated</th>\n",
              "      <th>Hypertension Stage 1</th>\n",
              "      <th>Hypertension Stage 2</th>\n",
              "      <th>Normal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ad1d5a4f-3ce1-4ef6-938a-2f71540b0181')\"\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-ad1d5a4f-3ce1-4ef6-938a-2f71540b0181 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-ad1d5a4f-3ce1-4ef6-938a-2f71540b0181');\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-1734ae0a-5309-4a85-a1d9-30a5400c237c\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1734ae0a-5309-4a85-a1d9-30a5400c237c')\"\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-1734ae0a-5309-4a85-a1d9-30a5400c237c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "# Transform pb_category_encoded column using get dummies\n",
        "bp_category_df = pd.get_dummies(application_df['bp_category_encoded'])\n",
        "bp_category_df.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 223
        },
        "id": "M35x9xDqkDF3",
        "outputId": "976eb55e-fe07-4c18-c3af-dfe5db30fd4f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   gender  cholesterol  gluc  smoke  alco  active  cardio  age_years  \\\n",
              "0       2            1     1      0     0       1       0         50   \n",
              "1       1            3     1      0     0       1       1         55   \n",
              "2       1            3     1      0     0       0       1         51   \n",
              "3       2            1     1      0     0       1       1         48   \n",
              "5       1            2     2      0     0       0       0         60   \n",
              "\n",
              "         bmi  Elevated  Hypertension Stage 1  Hypertension Stage 2  Normal  \n",
              "0  21.967120         0                     1                     0       0  \n",
              "1  34.927679         0                     0                     1       0  \n",
              "2  23.507805         0                     1                     0       0  \n",
              "3  28.710479         0                     0                     1       0  \n",
              "5  29.384676         0                     1                     0       0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1c0f0257-ee17-4460-a07f-31e2ad9c22c8\" 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>cholesterol</th>\n",
              "      <th>gluc</th>\n",
              "      <th>smoke</th>\n",
              "      <th>alco</th>\n",
              "      <th>active</th>\n",
              "      <th>cardio</th>\n",
              "      <th>age_years</th>\n",
              "      <th>bmi</th>\n",
              "      <th>Elevated</th>\n",
              "      <th>Hypertension Stage 1</th>\n",
              "      <th>Hypertension Stage 2</th>\n",
              "      <th>Normal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>50</td>\n",
              "      <td>21.967120</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55</td>\n",
              "      <td>34.927679</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>51</td>\n",
              "      <td>23.507805</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>48</td>\n",
              "      <td>28.710479</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>60</td>\n",
              "      <td>29.384676</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1c0f0257-ee17-4460-a07f-31e2ad9c22c8')\"\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-1c0f0257-ee17-4460-a07f-31e2ad9c22c8 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-1c0f0257-ee17-4460-a07f-31e2ad9c22c8');\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-9e6222f8-e0e1-46b7-8908-974db1a8d12f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9e6222f8-e0e1-46b7-8908-974db1a8d12f')\"\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-9e6222f8-e0e1-46b7-8908-974db1a8d12f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ],
      "source": [
        "# Concatenate bp_category_df and application_df DataFrame\n",
        "application_df = pd.concat([application_df, bp_category_df], axis=1)\n",
        "# Drop the original bp_category_encoded column\n",
        "application_df = application_df.drop(columns=['bp_category_encoded'])\n",
        "# Display DataFrame\n",
        "application_df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "m-ulO4YrmhNz",
        "outputId": "4a136984-32d9-4bb7-8126-149da09cec22"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   gender  cholesterol  gluc  smoke  alco  active  cardio  age_years  bmi  \\\n",
              "0       2            1     1      0     0       1       0         50    1   \n",
              "1       1            3     1      0     0       1       1         55    3   \n",
              "2       1            3     1      0     0       0       1         51    1   \n",
              "3       2            1     1      0     0       1       1         48    2   \n",
              "5       1            2     2      0     0       0       0         60    2   \n",
              "\n",
              "   Elevated  Hypertension Stage 1  Hypertension Stage 2  Normal  \n",
              "0         0                     1                     0       0  \n",
              "1         0                     0                     1       0  \n",
              "2         0                     1                     0       0  \n",
              "3         0                     0                     1       0  \n",
              "5         0                     1                     0       0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-68c41b81-24d4-438e-b396-d3a158c1beb9\" 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>cholesterol</th>\n",
              "      <th>gluc</th>\n",
              "      <th>smoke</th>\n",
              "      <th>alco</th>\n",
              "      <th>active</th>\n",
              "      <th>cardio</th>\n",
              "      <th>age_years</th>\n",
              "      <th>bmi</th>\n",
              "      <th>Elevated</th>\n",
              "      <th>Hypertension Stage 1</th>\n",
              "      <th>Hypertension Stage 2</th>\n",
              "      <th>Normal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>50</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>51</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>48</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>60</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-68c41b81-24d4-438e-b396-d3a158c1beb9')\"\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-68c41b81-24d4-438e-b396-d3a158c1beb9 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-68c41b81-24d4-438e-b396-d3a158c1beb9');\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-0a2e954b-ac2a-4fa0-b8d2-124c0532a796\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0a2e954b-ac2a-4fa0-b8d2-124c0532a796')\"\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-0a2e954b-ac2a-4fa0-b8d2-124c0532a796 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "# Encoding bmi column using a custom function\n",
        "def encode_bmi(bmi):\n",
        "  # This function encodes bmi by setting underweight as 0, healthy weight as 1, overweight as 2, obesity as 3, very obesity 4, and severe obesity as 5\n",
        "  if bmi < 18.5:\n",
        "    return 0\n",
        "  elif bmi <25:\n",
        "    return 1\n",
        "  elif bmi < 30:\n",
        "    return 2\n",
        "  elif bmi < 35:\n",
        "    return 3\n",
        "  elif bmi < 40:\n",
        "    return 4\n",
        "  else:\n",
        "    return 5\n",
        "\n",
        "# Call the encode bmi function on the bmi column\n",
        "application_df['bmi'] = application_df['bmi'].apply(encode_bmi)\n",
        "\n",
        "# Review DataFrame\n",
        "application_df.head()\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "CXuhCuVsmhYM",
        "outputId": "1dfa8407-8fcd-4f52-df4f-46e9e02183ff"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   gender  cholesterol  gluc  smoke  alco  active  cardio  age_years  bmi  \\\n",
              "0       2            1     1      0     0       1       0          4    1   \n",
              "1       1            3     1      0     0       1       1          5    3   \n",
              "2       1            3     1      0     0       0       1          4    1   \n",
              "3       2            1     1      0     0       1       1          3    2   \n",
              "5       1            2     2      0     0       0       0          6    2   \n",
              "\n",
              "   Elevated  Hypertension Stage 1  Hypertension Stage 2  Normal  \n",
              "0         0                     1                     0       0  \n",
              "1         0                     0                     1       0  \n",
              "2         0                     1                     0       0  \n",
              "3         0                     0                     1       0  \n",
              "5         0                     1                     0       0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8b040176-5e30-4660-80e0-3c1d9aa459be\" 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>cholesterol</th>\n",
              "      <th>gluc</th>\n",
              "      <th>smoke</th>\n",
              "      <th>alco</th>\n",
              "      <th>active</th>\n",
              "      <th>cardio</th>\n",
              "      <th>age_years</th>\n",
              "      <th>bmi</th>\n",
              "      <th>Elevated</th>\n",
              "      <th>Hypertension Stage 1</th>\n",
              "      <th>Hypertension Stage 2</th>\n",
              "      <th>Normal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8b040176-5e30-4660-80e0-3c1d9aa459be')\"\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-8b040176-5e30-4660-80e0-3c1d9aa459be 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-8b040176-5e30-4660-80e0-3c1d9aa459be');\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-502d10bf-72d9-4c60-9998-a452304849c7\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-502d10bf-72d9-4c60-9998-a452304849c7')\"\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-502d10bf-72d9-4c60-9998-a452304849c7 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ],
      "source": [
        "# Encoding age column using a custom function\n",
        "def encode_age(age):\n",
        "  # This function encodes age by setting 35 years and under as 0, 35-39 years as 1, 40-44 years as 2, 45-49 years as 3,\n",
        "  # 50-54 years as 4, 55-59 years as 5, 60+ years as 6\n",
        "  if age <35:\n",
        "    return 0\n",
        "  elif age <40:\n",
        "    return 1\n",
        "  elif age <45:\n",
        "    return 2\n",
        "  elif age <50:\n",
        "    return 3\n",
        "  elif age <55:\n",
        "    return 4\n",
        "  elif age <60:\n",
        "    return 5\n",
        "  else:\n",
        "    return 6\n",
        "\n",
        "# Call the encode age function on the age column\n",
        "application_df['age_years'] = application_df['age_years'].apply(encode_age)\n",
        "\n",
        "# Review DataFrame\n",
        "application_df.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Save new data frame a csv file for future use\n",
        "from google.colab import files\n",
        "application_df.to_csv('clean_cardio_data.csv')\n",
        "files.download('clean_cardio_data.csv')"
      ],
      "metadata": {
        "id": "6eBFS-XBzloX",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "outputId": "3dd95d9e-9b25-4daa-b092-dc60b5afd0a6"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "download(\"download_d4b9c03c-4fbd-4f02-9019-17decd7ecf27\", \"clean_cardio_data.csv\", 1990077)"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uu-wn0AqtH4S",
        "outputId": "d3ef0eef-5aca-497d-812a-9bba8a54ec88"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "gender                  int64\n",
              "cholesterol             int64\n",
              "gluc                    int64\n",
              "smoke                   int64\n",
              "alco                    int64\n",
              "active                  int64\n",
              "cardio                  int64\n",
              "age_years               int64\n",
              "bmi                     int64\n",
              "Elevated                uint8\n",
              "Hypertension Stage 1    uint8\n",
              "Hypertension Stage 2    uint8\n",
              "Normal                  uint8\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ],
      "source": [
        "application_df.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "pp0IMkbZVUrK"
      },
      "outputs": [],
      "source": [
        "# Split our preprocessed data into our features and target arrays\n",
        "y = application_df['cardio'].values\n",
        "application_df = application_df.drop(columns=['cardio'])\n",
        "X = application_df.values\n",
        "\n",
        "# Split the preprocessed data into a training and testing dataset\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "SxMhfoW1VUrK"
      },
      "outputs": [],
      "source": [
        "# Create a StandardScaler instances\n",
        "\n",
        "# Create scaler instance\n",
        "X_scaler = skl.preprocessing.StandardScaler()\n",
        "\n",
        "# Fit the StandardScaler\n",
        "X_scaler.fit(X_train)\n",
        "\n",
        "# Scale the data\n",
        "X_train_scaled = X_scaler.transform(X_train)\n",
        "X_test_scaled = X_scaler.transform(X_test)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_9yz3I3YVUrL"
      },
      "source": [
        "## Compile, Train and Evaluate the Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "AhAPhgfQ1WHs"
      },
      "outputs": [],
      "source": [
        "# Create a method that creates a new Sequential model with hyperparameter options\n",
        "def create_model(hp):\n",
        "    nn_model = tf.keras.models.Sequential()\n",
        "\n",
        "    # Allow kerastuner to decide which activation function to use in hidden layers\n",
        "    activation = hp.Choice('activation',['relu','tanh','sigmoid'])\n",
        "\n",
        "    # Allow kerastuner to decide number of neurons in first layer\n",
        "    nn_model.add(tf.keras.layers.Dense(units=hp.Int('first_units',\n",
        "        min_value=1,\n",
        "        max_value=10,\n",
        "        step=2), activation=activation, input_dim=12))\n",
        "\n",
        "    # Allow kerastuner to decide number of hidden layers and neurons in hidden layers\n",
        "    for i in range(hp.Int('num_layers', 1, 6)):\n",
        "        nn_model.add(tf.keras.layers.Dense(units=hp.Int('units_' + str(i),\n",
        "            min_value=1,\n",
        "            max_value=10,\n",
        "            step=2),\n",
        "            activation=activation))\n",
        "\n",
        "    nn_model.add(tf.keras.layers.Dense(units=1, activation=\"sigmoid\"))\n",
        "\n",
        "    # Compile the model\n",
        "    nn_model.compile(loss=\"binary_crossentropy\", optimizer='adam', metrics=[\"accuracy\"])\n",
        "\n",
        "    return nn_model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QsKa_cnT1zIZ",
        "outputId": "8e69c3cf-f4d8-4fbf-8fe2-41db29cbad38"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Using TensorFlow backend\n"
          ]
        }
      ],
      "source": [
        "# Import the kerastuner library\n",
        "import keras_tuner as kt\n",
        "\n",
        "tuner = kt.Hyperband(\n",
        "    create_model,\n",
        "    objective=\"val_accuracy\",\n",
        "    max_epochs=20,\n",
        "    hyperband_iterations=2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 634
        },
        "id": "BaKsLKUP114H",
        "outputId": "c090717c-a88b-4330-b56f-c790d9c627ff"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Trial 11 Complete [00h 00m 15s]\n",
            "val_accuracy: 0.7008382678031921\n",
            "\n",
            "Best val_accuracy So Far: 0.7008382678031921\n",
            "Total elapsed time: 00h 03m 34s\n",
            "\n",
            "Search: Running Trial #12\n",
            "\n",
            "Value             |Best Value So Far |Hyperparameter\n",
            "tanh              |tanh              |activation\n",
            "7                 |3                 |first_units\n",
            "4                 |2                 |num_layers\n",
            "5                 |5                 |units_0\n",
            "7                 |5                 |units_1\n",
            "9                 |5                 |units_2\n",
            "3                 |5                 |units_3\n",
            "9                 |1                 |units_4"
          ]
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-30-4725945ae1de>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtuner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msearch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX_train_scaled\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mepochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mvalidation_data\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX_test_scaled\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my_test\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/keras_tuner/src/engine/base_tuner.py\u001b[0m in \u001b[0;36msearch\u001b[0;34m(self, *fit_args, **fit_kwargs)\u001b[0m\n\u001b[1;32m    222\u001b[0m         \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpre_create_trial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 224\u001b[0;31m             \u001b[0mtrial\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moracle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcreate_trial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtuner_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    225\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mtrial\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mtrial_module\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTrialStatus\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSTOPPED\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    226\u001b[0m                 \u001b[0;31m# Oracle triggered exit.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/keras_tuner/src/engine/oracle.py\u001b[0m in \u001b[0;36mwrapped_func\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    106\u001b[0m             \u001b[0mLOCKS\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0moracle\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0macquire\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    107\u001b[0m             \u001b[0mTHREADS\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0moracle\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mthread_name\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 108\u001b[0;31m         \u001b[0mret_val\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    109\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mneed_acquire\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m             \u001b[0mTHREADS\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0moracle\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/keras_tuner/src/engine/oracle.py\u001b[0m in \u001b[0;36mcreate_trial\u001b[0;34m(self, tuner_id)\u001b[0m\n\u001b[1;32m    490\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_save_trial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrial\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    491\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 492\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_display\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_trial_begin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrial\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    493\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    494\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mtrial\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/keras_tuner/src/engine/oracle.py\u001b[0m in \u001b[0;36mon_trial_begin\u001b[0;34m(self, trial)\u001b[0m\n\u001b[1;32m    171\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Search: Running Trial #{current_number}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    172\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 173\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow_hyperparameter_table\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrial\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    174\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    175\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/keras_tuner/src/engine/oracle.py\u001b[0m in \u001b[0;36mshow_hyperparameter_table\u001b[0;34m(self, trial)\u001b[0m\n\u001b[1;32m    215\u001b[0m                     \u001b[0;32melse\u001b[0m \u001b[0;34m\"?\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    216\u001b[0m                 )\n\u001b[0;32m--> 217\u001b[0;31m                 print(\n\u001b[0m\u001b[1;32m    218\u001b[0m                     template.format(\n\u001b[1;32m    219\u001b[0m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ipykernel/iostream.py\u001b[0m in \u001b[0;36mwrite\u001b[0;34m(self, string)\u001b[0m\n\u001b[1;32m    400\u001b[0m             \u001b[0mis_child\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_is_master_process\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    401\u001b[0m             \u001b[0;31m# only touch the buffer in the IO thread to avoid races\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 402\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpub_thread\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mschedule\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_buffer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstring\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    403\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_child\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    404\u001b[0m                 \u001b[0;31m# mp.Pool cannot be trusted to flush promptly (or ever),\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ipykernel/iostream.py\u001b[0m in \u001b[0;36mschedule\u001b[0;34m(self, f)\u001b[0m\n\u001b[1;32m    201\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_events\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    202\u001b[0m             \u001b[0;31m# wake event thread (message content is ignored)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 203\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_event_pipe\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mb''\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    204\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    205\u001b[0m             \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/zmq/sugar/socket.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, data, flags, copy, track, routing_id, group)\u001b[0m\n\u001b[1;32m    616\u001b[0m                 )\n\u001b[1;32m    617\u001b[0m             \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroup\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgroup\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 618\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mflags\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrack\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrack\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    619\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    620\u001b[0m     def send_multipart(\n",
            "\u001b[0;32mzmq/backend/cython/socket.pyx\u001b[0m in \u001b[0;36mzmq.backend.cython.socket.Socket.send\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32mzmq/backend/cython/socket.pyx\u001b[0m in \u001b[0;36mzmq.backend.cython.socket.Socket.send\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32mzmq/backend/cython/socket.pyx\u001b[0m in \u001b[0;36mzmq.backend.cython.socket._send_copy\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/zmq/backend/cython/checkrc.pxd\u001b[0m in \u001b[0;36mzmq.backend.cython.checkrc._check_rc\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ],
      "source": [
        "tuner.search(X_train_scaled,y_train,epochs=20,validation_data=(X_test_scaled,y_test))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N4WT5N9g2FRy",
        "outputId": "f8191617-0680-4e3d-f921-bd431f07125b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'activation': 'tanh',\n",
              " 'first_units': 3,\n",
              " 'num_layers': 2,\n",
              " 'units_0': 5,\n",
              " 'units_1': 5,\n",
              " 'units_2': 5,\n",
              " 'units_3': 5,\n",
              " 'units_4': 1,\n",
              " 'units_5': 1,\n",
              " 'tuner/epochs': 3,\n",
              " 'tuner/initial_epoch': 0,\n",
              " 'tuner/bracket': 2,\n",
              " 'tuner/round': 0}"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ],
      "source": [
        "# Get best model hyperparameters\n",
        "best_hyper = tuner.get_best_hyperparameters(1)[0]\n",
        "best_hyper.values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Yt2A6ouc2Oh2",
        "outputId": "5a6d28f5-b136-4295-8c47-045295463c77"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "489/489 - 1s - loss: 0.5862 - accuracy: 0.7008 - 1s/epoch - 2ms/step\n",
            "Loss: 0.5861919522285461, Accuracy: 0.7008382678031921\n"
          ]
        }
      ],
      "source": [
        "# Evaluate best model against full test data\n",
        "best_model = tuner.get_best_models(1)[0]\n",
        "model_loss, model_accuracy = best_model.evaluate(X_test_scaled,y_test,verbose=2)\n",
        "print(f\"Loss: {model_loss}, Accuracy: {model_accuracy}\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Provides summary of the best model\n",
        "best_models = tuner.get_best_models()\n",
        "print(best_models[0].summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6jn_lcNI4Ic3",
        "outputId": "ba7a88ba-2a9c-4a30-afc9-308fa00d399a"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " dense (Dense)               (None, 3)                 39        \n",
            "                                                                 \n",
            " dense_1 (Dense)             (None, 5)                 20        \n",
            "                                                                 \n",
            " dense_2 (Dense)             (None, 5)                 30        \n",
            "                                                                 \n",
            " dense_3 (Dense)             (None, 1)                 6         \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 95 (380.00 Byte)\n",
            "Trainable params: 95 (380.00 Byte)\n",
            "Non-trainable params: 0 (0.00 Byte)\n",
            "_________________________________________________________________\n",
            "None\n"
          ]
        }
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.11"
    },
    "vscode": {
      "interpreter": {
        "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}