diff --git a/Heart_Disease_Prediction (2).ipynb b/Heart_Disease_Prediction (2).ipynb
deleted file mode 100644
index 314b9652..00000000
--- a/Heart_Disease_Prediction (2).ipynb	
+++ /dev/null
@@ -1,1586 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "Cj2SOXgaZt-Q"
-      },
-      "source": [
-        "Importing the Dependencies\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 212,
-      "metadata": {
-        "id": "k850UGz1Z03B"
-      },
-      "outputs": [],
-      "source": [
-        "# @title\n",
-        "import numpy as np\n",
-        "import pandas as pd\n",
-        "from sklearn.model_selection import train_test_split\n",
-        "from sklearn.linear_model import LogisticRegression\n",
-        "from sklearn.metrics import accuracy_score"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "APYsimt8bDoD"
-      },
-      "source": [
-        "Data Collection and Processing\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 213,
-      "metadata": {
-        "id": "RJg3aA91Z0-u"
-      },
-      "outputs": [],
-      "source": [
-        "#loading the csv data to a Pandas DataFrame\n",
-        "heart_data= pd.read_csv('/content/heart.csv')"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 214,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 394
-        },
-        "id": "BnoQ8u4hdZ8Z",
-        "outputId": "452a033e-92bd-4b1e-b754-93d896d0c0a7"
-      },
-      "outputs": [
-        {
-          "data": {
-            "application/vnd.google.colaboratory.intrinsic+json": {
-              "type": "dataframe",
-              "variable_name": "heart_data"
-            },
-            "text/html": [
-              "\n",
-              "  <div id=\"df-8ee41496-7bb3-4544-9541-0da57135f240\" 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>Patient ID</th>\n",
-              "      <th>Age</th>\n",
-              "      <th>Sex</th>\n",
-              "      <th>Cholesterol</th>\n",
-              "      <th>Blood Pressure</th>\n",
-              "      <th>Heart Rate</th>\n",
-              "      <th>Diabetes</th>\n",
-              "      <th>Family History</th>\n",
-              "      <th>Smoking</th>\n",
-              "      <th>Obesity</th>\n",
-              "      <th>...</th>\n",
-              "      <th>Sedentary Hours Per Day</th>\n",
-              "      <th>Income</th>\n",
-              "      <th>BMI</th>\n",
-              "      <th>Triglycerides</th>\n",
-              "      <th>Physical Activity Days Per Week</th>\n",
-              "      <th>Sleep Hours Per Day</th>\n",
-              "      <th>Country</th>\n",
-              "      <th>Continent</th>\n",
-              "      <th>Hemisphere</th>\n",
-              "      <th>Heart Attack Risk</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>0</th>\n",
-              "      <td>BMW7812</td>\n",
-              "      <td>67</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>208</td>\n",
-              "      <td>158/88</td>\n",
-              "      <td>72</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1</td>\n",
-              "      <td>0</td>\n",
-              "      <td>...</td>\n",
-              "      <td>6.615001</td>\n",
-              "      <td>261404</td>\n",
-              "      <td>31.251233</td>\n",
-              "      <td>286</td>\n",
-              "      <td>0</td>\n",
-              "      <td>6</td>\n",
-              "      <td>Argentina</td>\n",
-              "      <td>South America</td>\n",
-              "      <td>Southern Hemisphere</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1</th>\n",
-              "      <td>CZE1114</td>\n",
-              "      <td>21</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>389</td>\n",
-              "      <td>165/93</td>\n",
-              "      <td>98</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>...</td>\n",
-              "      <td>4.963459</td>\n",
-              "      <td>285768</td>\n",
-              "      <td>27.194973</td>\n",
-              "      <td>235</td>\n",
-              "      <td>1</td>\n",
-              "      <td>7</td>\n",
-              "      <td>Canada</td>\n",
-              "      <td>North America</td>\n",
-              "      <td>Northern Hemisphere</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2</th>\n",
-              "      <td>BNI9906</td>\n",
-              "      <td>21</td>\n",
-              "      <td>Female</td>\n",
-              "      <td>324</td>\n",
-              "      <td>174/99</td>\n",
-              "      <td>72</td>\n",
-              "      <td>1</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>...</td>\n",
-              "      <td>9.463426</td>\n",
-              "      <td>235282</td>\n",
-              "      <td>28.176571</td>\n",
-              "      <td>587</td>\n",
-              "      <td>4</td>\n",
-              "      <td>4</td>\n",
-              "      <td>France</td>\n",
-              "      <td>Europe</td>\n",
-              "      <td>Northern Hemisphere</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3</th>\n",
-              "      <td>JLN3497</td>\n",
-              "      <td>84</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>383</td>\n",
-              "      <td>163/100</td>\n",
-              "      <td>73</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>0</td>\n",
-              "      <td>...</td>\n",
-              "      <td>7.648981</td>\n",
-              "      <td>125640</td>\n",
-              "      <td>36.464704</td>\n",
-              "      <td>378</td>\n",
-              "      <td>3</td>\n",
-              "      <td>4</td>\n",
-              "      <td>Canada</td>\n",
-              "      <td>North America</td>\n",
-              "      <td>Northern Hemisphere</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>4</th>\n",
-              "      <td>GFO8847</td>\n",
-              "      <td>66</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>318</td>\n",
-              "      <td>91/88</td>\n",
-              "      <td>93</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>...</td>\n",
-              "      <td>1.514821</td>\n",
-              "      <td>160555</td>\n",
-              "      <td>21.809144</td>\n",
-              "      <td>231</td>\n",
-              "      <td>1</td>\n",
-              "      <td>5</td>\n",
-              "      <td>Thailand</td>\n",
-              "      <td>Asia</td>\n",
-              "      <td>Northern Hemisphere</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
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-              "<p>5 rows × 26 columns</p>\n",
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-              "      margin-bottom: 4px;\n",
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-              "    [theme=dark] .colab-df-convert {\n",
-              "      background-color: #3B4455;\n",
-              "      fill: #D2E3FC;\n",
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-              "                                                    [key], {});\n",
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-              "\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",
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-              "  .colab-df-quickchart {\n",
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-              "    border-bottom-color: var(--fill-color);\n",
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-              "      spin 1s steps(1) infinite;\n",
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-              "\n",
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-              "\n",
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-              "    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",
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-              "        const charts = await google.colab.kernel.invokeFunction(\n",
-              "            'suggestCharts', [key], {});\n",
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-              "  </script>\n",
-              "</div>\n",
-              "\n",
-              "    </div>\n",
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-            ],
-            "text/plain": [
-              "  Patient ID  Age     Sex  Cholesterol Blood Pressure  Heart Rate  Diabetes  \\\n",
-              "0    BMW7812   67    Male          208         158/88          72         0   \n",
-              "1    CZE1114   21    Male          389         165/93          98         1   \n",
-              "2    BNI9906   21  Female          324         174/99          72         1   \n",
-              "3    JLN3497   84    Male          383        163/100          73         1   \n",
-              "4    GFO8847   66    Male          318          91/88          93         1   \n",
-              "\n",
-              "   Family History  Smoking  Obesity  ...  Sedentary Hours Per Day  Income  \\\n",
-              "0               0        1        0  ...                 6.615001  261404   \n",
-              "1               1        1        1  ...                 4.963459  285768   \n",
-              "2               0        0        0  ...                 9.463426  235282   \n",
-              "3               1        1        0  ...                 7.648981  125640   \n",
-              "4               1        1        1  ...                 1.514821  160555   \n",
-              "\n",
-              "         BMI  Triglycerides  Physical Activity Days Per Week  \\\n",
-              "0  31.251233            286                                0   \n",
-              "1  27.194973            235                                1   \n",
-              "2  28.176571            587                                4   \n",
-              "3  36.464704            378                                3   \n",
-              "4  21.809144            231                                1   \n",
-              "\n",
-              "   Sleep Hours Per Day    Country      Continent           Hemisphere  \\\n",
-              "0                    6  Argentina  South America  Southern Hemisphere   \n",
-              "1                    7     Canada  North America  Northern Hemisphere   \n",
-              "2                    4     France         Europe  Northern Hemisphere   \n",
-              "3                    4     Canada  North America  Northern Hemisphere   \n",
-              "4                    5   Thailand           Asia  Northern Hemisphere   \n",
-              "\n",
-              "   Heart Attack Risk  \n",
-              "0                  0  \n",
-              "1                  0  \n",
-              "2                  0  \n",
-              "3                  0  \n",
-              "4                  0  \n",
-              "\n",
-              "[5 rows x 26 columns]"
-            ]
-          },
-          "execution_count": 214,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "#print first 5 rows of the datase\n",
-        "heart_data.head()\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 215,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 394
-        },
-        "id": "NQwDjwwGeBF4",
-        "outputId": "60d69d34-5c6e-4975-c633-13cc786065f6"
-      },
-      "outputs": [
-        {
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-              "\n",
-              "    .dataframe thead th {\n",
-              "        text-align: right;\n",
-              "    }\n",
-              "</style>\n",
-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>Patient ID</th>\n",
-              "      <th>Age</th>\n",
-              "      <th>Sex</th>\n",
-              "      <th>Cholesterol</th>\n",
-              "      <th>Blood Pressure</th>\n",
-              "      <th>Heart Rate</th>\n",
-              "      <th>Diabetes</th>\n",
-              "      <th>Family History</th>\n",
-              "      <th>Smoking</th>\n",
-              "      <th>Obesity</th>\n",
-              "      <th>...</th>\n",
-              "      <th>Sedentary Hours Per Day</th>\n",
-              "      <th>Income</th>\n",
-              "      <th>BMI</th>\n",
-              "      <th>Triglycerides</th>\n",
-              "      <th>Physical Activity Days Per Week</th>\n",
-              "      <th>Sleep Hours Per Day</th>\n",
-              "      <th>Country</th>\n",
-              "      <th>Continent</th>\n",
-              "      <th>Hemisphere</th>\n",
-              "      <th>Heart Attack Risk</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>8758</th>\n",
-              "      <td>MSV9918</td>\n",
-              "      <td>60</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>121</td>\n",
-              "      <td>94/76</td>\n",
-              "      <td>61</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>0</td>\n",
-              "      <td>...</td>\n",
-              "      <td>10.806373</td>\n",
-              "      <td>235420</td>\n",
-              "      <td>19.655895</td>\n",
-              "      <td>67</td>\n",
-              "      <td>7</td>\n",
-              "      <td>7</td>\n",
-              "      <td>Thailand</td>\n",
-              "      <td>Asia</td>\n",
-              "      <td>Northern Hemisphere</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>8759</th>\n",
-              "      <td>QSV6764</td>\n",
-              "      <td>28</td>\n",
-              "      <td>Female</td>\n",
-              "      <td>120</td>\n",
-              "      <td>157/102</td>\n",
-              "      <td>73</td>\n",
-              "      <td>1</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1</td>\n",
-              "      <td>...</td>\n",
-              "      <td>3.833038</td>\n",
-              "      <td>217881</td>\n",
-              "      <td>23.993866</td>\n",
-              "      <td>617</td>\n",
-              "      <td>4</td>\n",
-              "      <td>9</td>\n",
-              "      <td>Canada</td>\n",
-              "      <td>North America</td>\n",
-              "      <td>Northern Hemisphere</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>8760</th>\n",
-              "      <td>XKA5925</td>\n",
-              "      <td>47</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>250</td>\n",
-              "      <td>161/75</td>\n",
-              "      <td>105</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>...</td>\n",
-              "      <td>2.375214</td>\n",
-              "      <td>36998</td>\n",
-              "      <td>35.406146</td>\n",
-              "      <td>527</td>\n",
-              "      <td>4</td>\n",
-              "      <td>4</td>\n",
-              "      <td>Brazil</td>\n",
-              "      <td>South America</td>\n",
-              "      <td>Southern Hemisphere</td>\n",
-              "      <td>1</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>8761</th>\n",
-              "      <td>EPE6801</td>\n",
-              "      <td>36</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>178</td>\n",
-              "      <td>119/67</td>\n",
-              "      <td>60</td>\n",
-              "      <td>1</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1</td>\n",
-              "      <td>0</td>\n",
-              "      <td>...</td>\n",
-              "      <td>0.029104</td>\n",
-              "      <td>209943</td>\n",
-              "      <td>27.294020</td>\n",
-              "      <td>114</td>\n",
-              "      <td>2</td>\n",
-              "      <td>8</td>\n",
-              "      <td>Brazil</td>\n",
-              "      <td>South America</td>\n",
-              "      <td>Southern Hemisphere</td>\n",
-              "      <td>0</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>8762</th>\n",
-              "      <td>ZWN9666</td>\n",
-              "      <td>25</td>\n",
-              "      <td>Female</td>\n",
-              "      <td>356</td>\n",
-              "      <td>138/67</td>\n",
-              "      <td>75</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>...</td>\n",
-              "      <td>9.005234</td>\n",
-              "      <td>247338</td>\n",
-              "      <td>32.914151</td>\n",
-              "      <td>180</td>\n",
-              "      <td>7</td>\n",
-              "      <td>4</td>\n",
-              "      <td>United Kingdom</td>\n",
-              "      <td>Europe</td>\n",
-              "      <td>Northern Hemisphere</td>\n",
-              "      <td>1</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "<p>5 rows × 26 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-43aec8d7-9609-4539-ac70-3f84a8e5d45a')\"\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-43aec8d7-9609-4539-ac70-3f84a8e5d45a 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-43aec8d7-9609-4539-ac70-3f84a8e5d45a');\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-f64f9ade-9b48-4183-a905-56df45bbc6ce\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f64f9ade-9b48-4183-a905-56df45bbc6ce')\"\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-f64f9ade-9b48-4183-a905-56df45bbc6ce button');\n",
-              "      quickchartButtonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "    })();\n",
-              "  </script>\n",
-              "</div>\n",
-              "\n",
-              "    </div>\n",
-              "  </div>\n"
-            ],
-            "text/plain": [
-              "     Patient ID  Age     Sex  Cholesterol Blood Pressure  Heart Rate  \\\n",
-              "8758    MSV9918   60    Male          121          94/76          61   \n",
-              "8759    QSV6764   28  Female          120        157/102          73   \n",
-              "8760    XKA5925   47    Male          250         161/75         105   \n",
-              "8761    EPE6801   36    Male          178         119/67          60   \n",
-              "8762    ZWN9666   25  Female          356         138/67          75   \n",
-              "\n",
-              "      Diabetes  Family History  Smoking  Obesity  ...  \\\n",
-              "8758         1               1        1        0  ...   \n",
-              "8759         1               0        0        1  ...   \n",
-              "8760         0               1        1        1  ...   \n",
-              "8761         1               0        1        0  ...   \n",
-              "8762         1               1        0        0  ...   \n",
-              "\n",
-              "      Sedentary Hours Per Day  Income        BMI  Triglycerides  \\\n",
-              "8758                10.806373  235420  19.655895             67   \n",
-              "8759                 3.833038  217881  23.993866            617   \n",
-              "8760                 2.375214   36998  35.406146            527   \n",
-              "8761                 0.029104  209943  27.294020            114   \n",
-              "8762                 9.005234  247338  32.914151            180   \n",
-              "\n",
-              "      Physical Activity Days Per Week  Sleep Hours Per Day         Country  \\\n",
-              "8758                                7                    7        Thailand   \n",
-              "8759                                4                    9          Canada   \n",
-              "8760                                4                    4          Brazil   \n",
-              "8761                                2                    8          Brazil   \n",
-              "8762                                7                    4  United Kingdom   \n",
-              "\n",
-              "          Continent           Hemisphere  Heart Attack Risk  \n",
-              "8758           Asia  Northern Hemisphere                  0  \n",
-              "8759  North America  Northern Hemisphere                  0  \n",
-              "8760  South America  Southern Hemisphere                  1  \n",
-              "8761  South America  Southern Hemisphere                  0  \n",
-              "8762         Europe  Northern Hemisphere                  1  \n",
-              "\n",
-              "[5 rows x 26 columns]"
-            ]
-          },
-          "execution_count": 215,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "heart_data.tail()\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 216,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "Ye8LlTQVeHs1",
-        "outputId": "e0fb1303-1000-45df-8cbf-49a3322f42b1"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "(8763, 26)"
-            ]
-          },
-          "execution_count": 216,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# number of rows and columns in the dataset\n",
-        "heart_data.shape\n",
-        "\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 217,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "5YZLMOwFeXF3",
-        "outputId": "4a322f74-c893-45a0-e4e2-cca32e4d0bd3"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "<class 'pandas.core.frame.DataFrame'>\n",
-            "RangeIndex: 8763 entries, 0 to 8762\n",
-            "Data columns (total 26 columns):\n",
-            " #   Column                           Non-Null Count  Dtype  \n",
-            "---  ------                           --------------  -----  \n",
-            " 0   Patient ID                       8763 non-null   object \n",
-            " 1   Age                              8763 non-null   int64  \n",
-            " 2   Sex                              8763 non-null   object \n",
-            " 3   Cholesterol                      8763 non-null   int64  \n",
-            " 4   Blood Pressure                   8763 non-null   object \n",
-            " 5   Heart Rate                       8763 non-null   int64  \n",
-            " 6   Diabetes                         8763 non-null   int64  \n",
-            " 7   Family History                   8763 non-null   int64  \n",
-            " 8   Smoking                          8763 non-null   int64  \n",
-            " 9   Obesity                          8763 non-null   int64  \n",
-            " 10  Alcohol Consumption              8763 non-null   int64  \n",
-            " 11  Exercise Hours Per Week          8763 non-null   float64\n",
-            " 12  Diet                             8763 non-null   object \n",
-            " 13  Previous Heart Problems          8763 non-null   int64  \n",
-            " 14  Medication Use                   8763 non-null   int64  \n",
-            " 15  Stress Level                     8763 non-null   int64  \n",
-            " 16  Sedentary Hours Per Day          8763 non-null   float64\n",
-            " 17  Income                           8763 non-null   int64  \n",
-            " 18  BMI                              8763 non-null   float64\n",
-            " 19  Triglycerides                    8763 non-null   int64  \n",
-            " 20  Physical Activity Days Per Week  8763 non-null   int64  \n",
-            " 21  Sleep Hours Per Day              8763 non-null   int64  \n",
-            " 22  Country                          8763 non-null   object \n",
-            " 23  Continent                        8763 non-null   object \n",
-            " 24  Hemisphere                       8763 non-null   object \n",
-            " 25  Heart Attack Risk                8763 non-null   int64  \n",
-            "dtypes: float64(3), int64(16), object(7)\n",
-            "memory usage: 1.7+ MB\n"
-          ]
-        }
-      ],
-      "source": [
-        "# getting some info about the data\n",
-        "heart_data.info()"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 218,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "QHazm2rze6Oj",
-        "outputId": "1601115a-a97a-4aa7-b0ca-1d94d09d11fa"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "Patient ID                         0\n",
-              "Age                                0\n",
-              "Sex                                0\n",
-              "Cholesterol                        0\n",
-              "Blood Pressure                     0\n",
-              "Heart Rate                         0\n",
-              "Diabetes                           0\n",
-              "Family History                     0\n",
-              "Smoking                            0\n",
-              "Obesity                            0\n",
-              "Alcohol Consumption                0\n",
-              "Exercise Hours Per Week            0\n",
-              "Diet                               0\n",
-              "Previous Heart Problems            0\n",
-              "Medication Use                     0\n",
-              "Stress Level                       0\n",
-              "Sedentary Hours Per Day            0\n",
-              "Income                             0\n",
-              "BMI                                0\n",
-              "Triglycerides                      0\n",
-              "Physical Activity Days Per Week    0\n",
-              "Sleep Hours Per Day                0\n",
-              "Country                            0\n",
-              "Continent                          0\n",
-              "Hemisphere                         0\n",
-              "Heart Attack Risk                  0\n",
-              "dtype: int64"
-            ]
-          },
-          "execution_count": 218,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "#checking for missing values\n",
-        "heart_data.isnull().sum()"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 219,
-      "metadata": {
-        "id": "nt15bvuYfBcA"
-      },
-      "outputs": [],
-      "source": [
-        "# statistical measures about the data\n",
-        "z=heart_data.describe()"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 220,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "NCbxYqqNf2-4",
-        "outputId": "1e38c06b-606b-4509-8e29-2d249daaf4d0"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "Heart Attack Risk\n",
-              "0    5624\n",
-              "1    3139\n",
-              "Name: count, dtype: int64"
-            ]
-          },
-          "execution_count": 220,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# checking the distribution of Target Variable\n",
-        "heart_data['Heart Attack Risk'].value_counts()"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "DvvKtsuILgK1"
-      },
-      "source": []
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 221,
-      "metadata": {
-        "id": "mfiZ3MDvIiaV"
-      },
-      "outputs": [],
-      "source": [
-        "heart_data_num = heart_data.select_dtypes(include=[np.float32,np.float64,np.int64])"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "qWNMUL5_CrfC"
-      },
-      "source": [
-        "1-->Defective heart\n",
-        "\n",
-        "0-->Healthy heart\n",
-        "\n",
-        "\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 222,
-      "metadata": {
-        "id": "oSgKSF5-DGVk"
-      },
-      "outputs": [],
-      "source": [
-        "x=heart_data_num.drop(columns='Heart Attack Risk', axis=1)\n",
-        "y=heart_data_num['Heart Attack Risk']\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 223,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "zhiIhyMxDhWF",
-        "outputId": "5684dc44-c814-4d81-e438-ecc544010d10"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "      Age  Cholesterol  Heart Rate  Diabetes  Family History  Smoking  \\\n",
-            "0      67          208          72         0               0        1   \n",
-            "1      21          389          98         1               1        1   \n",
-            "2      21          324          72         1               0        0   \n",
-            "3      84          383          73         1               1        1   \n",
-            "4      66          318          93         1               1        1   \n",
-            "...   ...          ...         ...       ...             ...      ...   \n",
-            "8758   60          121          61         1               1        1   \n",
-            "8759   28          120          73         1               0        0   \n",
-            "8760   47          250         105         0               1        1   \n",
-            "8761   36          178          60         1               0        1   \n",
-            "8762   25          356          75         1               1        0   \n",
-            "\n",
-            "      Obesity  Alcohol Consumption  Exercise Hours Per Week  \\\n",
-            "0           0                    0                 4.168189   \n",
-            "1           1                    1                 1.813242   \n",
-            "2           0                    0                 2.078353   \n",
-            "3           0                    1                 9.828130   \n",
-            "4           1                    0                 5.804299   \n",
-            "...       ...                  ...                      ...   \n",
-            "8758        0                    1                 7.917342   \n",
-            "8759        1                    0                16.558426   \n",
-            "8760        1                    1                 3.148438   \n",
-            "8761        0                    0                 3.789950   \n",
-            "8762        0                    1                18.081748   \n",
-            "\n",
-            "      Previous Heart Problems  Medication Use  Stress Level  \\\n",
-            "0                           0               0             9   \n",
-            "1                           1               0             1   \n",
-            "2                           1               1             9   \n",
-            "3                           1               0             9   \n",
-            "4                           1               0             6   \n",
-            "...                       ...             ...           ...   \n",
-            "8758                        1               1             8   \n",
-            "8759                        0               0             8   \n",
-            "8760                        1               0             5   \n",
-            "8761                        1               1             5   \n",
-            "8762                        0               0             8   \n",
-            "\n",
-            "      Sedentary Hours Per Day  Income        BMI  Triglycerides  \\\n",
-            "0                    6.615001  261404  31.251233            286   \n",
-            "1                    4.963459  285768  27.194973            235   \n",
-            "2                    9.463426  235282  28.176571            587   \n",
-            "3                    7.648981  125640  36.464704            378   \n",
-            "4                    1.514821  160555  21.809144            231   \n",
-            "...                       ...     ...        ...            ...   \n",
-            "8758                10.806373  235420  19.655895             67   \n",
-            "8759                 3.833038  217881  23.993866            617   \n",
-            "8760                 2.375214   36998  35.406146            527   \n",
-            "8761                 0.029104  209943  27.294020            114   \n",
-            "8762                 9.005234  247338  32.914151            180   \n",
-            "\n",
-            "      Physical Activity Days Per Week  Sleep Hours Per Day  \n",
-            "0                                   0                    6  \n",
-            "1                                   1                    7  \n",
-            "2                                   4                    4  \n",
-            "3                                   3                    4  \n",
-            "4                                   1                    5  \n",
-            "...                               ...                  ...  \n",
-            "8758                                7                    7  \n",
-            "8759                                4                    9  \n",
-            "8760                                4                    4  \n",
-            "8761                                2                    8  \n",
-            "8762                                7                    4  \n",
-            "\n",
-            "[8763 rows x 18 columns]\n"
-          ]
-        }
-      ],
-      "source": [
-        "print(x)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 224,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "VpOvdXWgHWmI",
-        "outputId": "8d0190fe-62af-4d69-9af1-d4ce89b52bc4"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "0       0\n",
-            "1       0\n",
-            "2       0\n",
-            "3       0\n",
-            "4       0\n",
-            "       ..\n",
-            "8758    0\n",
-            "8759    0\n",
-            "8760    1\n",
-            "8761    0\n",
-            "8762    1\n",
-            "Name: Heart Attack Risk, Length: 8763, dtype: int64\n"
-          ]
-        }
-      ],
-      "source": [
-        "print(y)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "5A20XMHYII3T"
-      },
-      "source": [
-        "Splitting data into Training data"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 225,
-      "metadata": {
-        "id": "SNK4hm8DIPSm"
-      },
-      "outputs": [],
-      "source": [
-        "\n",
-        "x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.3,stratify=y,random_state=3)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 226,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "GyZ6mljEHuVk",
-        "outputId": "c7c7bb9e-ed30-466a-ea57-88f43a409f0f"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Number of samples in x: 8763\n",
-            "Number of samples in y: 8763\n"
-          ]
-        }
-      ],
-      "source": [
-        "# Check the number of samples in x and y\n",
-        "print(f\"Number of samples in x: {len(x)}\")\n",
-        "print(f\"Number of samples in y: {len(y)}\")\n",
-        "\n",
-        "# If the number of samples is different, raise an error\n",
-        "if len(x) != len(y):\n",
-        "    raise ValueError(\"Input arrays have different number of samples.\")\n",
-        "\n",
-        "# Proceed with train_test_split\n",
-        "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, stratify=y, random_state=3)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 227,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "7OTKtdA-JLCV",
-        "outputId": "a9616ddf-7f61-4f3b-fbe0-6d81ea326287"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "(8763, 18) (7010, 18) (1753, 18)\n"
-          ]
-        }
-      ],
-      "source": [
-        "print(x.shape,x_train.shape,x_test.shape)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "ne2RibQaJdNe"
-      },
-      "source": [
-        "MODEL TRAINING"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "AUEblGtLJlzD"
-      },
-      "source": [
-        "LOGISTIC REGRESSION"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 227,
-      "metadata": {
-        "id": "OVQDdrIpHm8P"
-      },
-      "outputs": [],
-      "source": []
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 228,
-      "metadata": {
-        "id": "w0CnNIPkHnTT"
-      },
-      "outputs": [],
-      "source": [
-        "model1=LogisticRegression()"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 229,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 74
-        },
-        "id": "kr84EwGwHqGY",
-        "outputId": "3a0e56ab-20f9-4584-8e40-c84af8b2c593"
-      },
-      "outputs": [
-        {
-          "data": {
-            "text/html": [
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-            ],
-            "text/plain": [
-              "LogisticRegression()"
-            ]
-          },
-          "execution_count": 229,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "# Training the logistic regression model with training data\n",
-        "model1.fit(x_train,y_train)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "aPahD6MLKaPU"
-      },
-      "source": [
-        "Model Evaluation\n",
-        "\n",
-        "Accuracy Score"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "FE92kQzZHIIl"
-      },
-      "source": []
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 230,
-      "metadata": {
-        "id": "NHy61zdJKDR1"
-      },
-      "outputs": [],
-      "source": [
-        "#accuracy on training data\n",
-        "x_train_prediction = model1.predict(x_train)\n",
-        "training_data_accuracy = accuracy_score(x_train_prediction, y_train)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 231,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "J4XiNRwXLCXf",
-        "outputId": "ffd6a7b0-f978-4e5f-e677-7dcf55ac39a1"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Accuracy on Training data: 0.6417974322396577\n"
-          ]
-        }
-      ],
-      "source": [
-        "print('Accuracy on Training data:',training_data_accuracy)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 232,
-      "metadata": {
-        "id": "ehbFgWjhLK44"
-      },
-      "outputs": [],
-      "source": [
-        "#accuracy on test data\n",
-        "x_test_prediction=model1.predict(x_test)\n",
-        "testing_data_accuracy=accuracy_score(x_test_prediction,y_test)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 233,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "jYZIcbiVLs0G",
-        "outputId": "72bb19ec-73e3-437e-a6fb-e055fe2d31d0"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Accuracy on Testing data: 0.6417569880205363\n"
-          ]
-        }
-      ],
-      "source": [
-        "print('Accuracy on Testing data:',testing_data_accuracy)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "rec6Gz8vMP_G"
-      },
-      "source": [
-        "BUILDING PREDICTING SYSTEM"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 234,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "Ky2mzQUgL9IU",
-        "outputId": "72053f1d-55ac-4927-f8d8-1659265bbc5f"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "[0]\n",
-            "The person does not have heart disease\n"
-          ]
-        },
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
-            "  warnings.warn(\n"
-          ]
-        }
-      ],
-      "source": [
-        "input_data=(1,67,208,72,0,0,1,0,0,0,0,31.251233, 286,0,0,6,0,0)\n",
-        "# change the input data into numpy array\n",
-        "input_data_as_numpy_array=np.asarray(input_data)\n",
-        "#reshape the numpy array as we are predicting for only on instance\n",
-        "input_data_reshaped =input_data_as_numpy_array.reshape(1,-1)\n",
-        "prediction=model1.predict(input_data_reshaped)\n",
-        "print(prediction)\n",
-        "if (prediction[0]==0):\n",
-        "  print(\"The person does not have heart disease\")\n",
-        "else:\n",
-        "  print(\"the person has heart disease\")\n",
-        "\n"
-      ]
-    }
-  ],
-  "metadata": {
-    "colab": {
-      "provenance": []
-    },
-    "kernelspec": {
-      "display_name": "Python 3",
-      "name": "python3"
-    },
-    "language_info": {
-      "name": "python"
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}