RiskLevels.ipynb

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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline"
      ]
    },
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      "source": [
        "cols = ['Age','Gender','TB', 'DB','Alkphos','Sgpt', 'Sgot', 'TP','ALB', 'A/G','target']\n",
        "diabetes = pd.read_csv('diabetes.csv')\n",
        "liver = pd.read_csv('ILPS.csv', names=cols)\n",
        "heart = pd.read_csv('heart.csv')\n",
        "insurance = pd.read_csv('insurance.csv')"
      ],
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        "diabetes"
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              "     Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
              "0              6      148             72             35        0  33.6   \n",
              "1              1       85             66             29        0  26.6   \n",
              "2              8      183             64              0        0  23.3   \n",
              "3              1       89             66             23       94  28.1   \n",
              "4              0      137             40             35      168  43.1   \n",
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              "763           10      101             76             48      180  32.9   \n",
              "764            2      122             70             27        0  36.8   \n",
              "765            5      121             72             23      112  26.2   \n",
              "766            1      126             60              0        0  30.1   \n",
              "767            1       93             70             31        0  30.4   \n",
              "\n",
              "     DiabetesPedigreeFunction  Age  Outcome  \n",
              "0                       0.627   50        1  \n",
              "1                       0.351   31        0  \n",
              "2                       0.672   32        1  \n",
              "3                       0.167   21        0  \n",
              "4                       2.288   33        1  \n",
              "..                        ...  ...      ...  \n",
              "763                     0.171   63        0  \n",
              "764                     0.340   27        0  \n",
              "765                     0.245   30        0  \n",
              "766                     0.349   47        1  \n",
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        "liver"
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              "     Age  Gender    TB   DB  Alkphos  Sgpt  Sgot   TP  ALB   A/G  target\n",
              "0     65  Female   0.7  0.1      187    16    18  6.8  3.3  0.90       1\n",
              "1     62    Male  10.9  5.5      699    64   100  7.5  3.2  0.74       1\n",
              "2     62    Male   7.3  4.1      490    60    68  7.0  3.3  0.89       1\n",
              "3     58    Male   1.0  0.4      182    14    20  6.8  3.4  1.00       1\n",
              "4     72    Male   3.9  2.0      195    27    59  7.3  2.4  0.40       1\n",
              "..   ...     ...   ...  ...      ...   ...   ...  ...  ...   ...     ...\n",
              "578   60    Male   0.5  0.1      500    20    34  5.9  1.6  0.37       2\n",
              "579   40    Male   0.6  0.1       98    35    31  6.0  3.2  1.10       1\n",
              "580   52    Male   0.8  0.2      245    48    49  6.4  3.2  1.00       1\n",
              "581   31    Male   1.3  0.5      184    29    32  6.8  3.4  1.00       1\n",
              "582   38    Male   1.0  0.3      216    21    24  7.3  4.4  1.50       2\n",
              "\n",
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              "      <th>582</th>\n",
              "      <td>38</td>\n",
              "      <td>Male</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.3</td>\n",
              "      <td>216</td>\n",
              "      <td>21</td>\n",
              "      <td>24</td>\n",
              "      <td>7.3</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1.50</td>\n",
              "      <td>2</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>583 rows × 11 columns</p>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-96a9946d-49ba-4b8a-8e67-49fb28a2d004')\"\n",
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              "\n",
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              "\n",
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              "          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",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn import preprocessing\n",
        "le1 = preprocessing.LabelEncoder()\n",
        "liver['Gender'] =le1.fit_transform(liver['Gender'])"
      ],
      "metadata": {
        "id": "Toayx2LjVpE_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "liver[\"Age\"] = liver[\"Age\"].apply(np.int64)\n",
        "liver[\"Gender\"] = liver[\"Gender\"].apply(np.int64)"
      ],
      "metadata": {
        "id": "-Prs8xM34lSX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "heart"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "Nc411y4eLHc1",
        "outputId": "73c2c303-699c-43f7-96f5-ed0b64966c7b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
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              "     age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-611c9dcd-58c9-4014-9f79-2a935f68b300')\"\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "          const element = document.querySelector('#df-611c9dcd-58c9-4014-9f79-2a935f68b300');\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",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "insurance"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "G-7GMSMjLIqu",
        "outputId": "51b1e6bf-e068-41b3-d8ec-42c700ed9add"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      age     sex     bmi  children smoker     region      charges\n",
              "0      19  female  27.900         0    yes  southwest  16884.92400\n",
              "1      18    male  33.770         1     no  southeast   1725.55230\n",
              "2      28    male  33.000         3     no  southeast   4449.46200\n",
              "3      33    male  22.705         0     no  northwest  21984.47061\n",
              "4      32    male  28.880         0     no  northwest   3866.85520\n",
              "...   ...     ...     ...       ...    ...        ...          ...\n",
              "1333   50    male  30.970         3     no  northwest  10600.54830\n",
              "1334   18  female  31.920         0     no  northeast   2205.98080\n",
              "1335   18  female  36.850         0     no  southeast   1629.83350\n",
              "1336   21  female  25.800         0     no  southwest   2007.94500\n",
              "1337   61  female  29.070         0    yes  northwest  29141.36030\n",
              "\n",
              "[1338 rows x 7 columns]"
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              "    <tr>\n",
              "      <th>1334</th>\n",
              "      <td>18</td>\n",
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              "      <td>northwest</td>\n",
              "      <td>29141.36030</td>\n",
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              "<p>1338 rows × 7 columns</p>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9c1e87b1-6c1b-4ebe-a859-c9e7ce78784b')\"\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9c1e87b1-6c1b-4ebe-a859-c9e7ce78784b');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn import preprocessing\n",
        "le1 = preprocessing.LabelEncoder()\n",
        "insurance['sex'] =le1.fit_transform(insurance['sex'])"
      ],
      "metadata": {
        "id": "HGSFIVxg3qrR"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "insurance"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "Qx9VGbcT3xnb",
        "outputId": "52586ce7-2710-4ab1-8ce6-dcf728891cf9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      age  sex     bmi  children smoker     region      charges\n",
              "0      19    0  27.900         0    yes  southwest  16884.92400\n",
              "1      18    1  33.770         1     no  southeast   1725.55230\n",
              "2      28    1  33.000         3     no  southeast   4449.46200\n",
              "3      33    1  22.705         0     no  northwest  21984.47061\n",
              "4      32    1  28.880         0     no  northwest   3866.85520\n",
              "...   ...  ...     ...       ...    ...        ...          ...\n",
              "1333   50    1  30.970         3     no  northwest  10600.54830\n",
              "1334   18    0  31.920         0     no  northeast   2205.98080\n",
              "1335   18    0  36.850         0     no  southeast   1629.83350\n",
              "1336   21    0  25.800         0     no  southwest   2007.94500\n",
              "1337   61    0  29.070         0    yes  northwest  29141.36030\n",
              "\n",
              "[1338 rows x 7 columns]"
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-56d15ea9-33df-4817-8a7f-c02435006ef5');\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",
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              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "merged_df = heart.merge(insurance, how=\"inner\", on=[\"age\", \"sex\"])\n",
        "merged_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "U8pQ4wf-LNOJ",
        "outputId": "7c8948f2-ddf0-45dd-cfcf-632b6b2a661c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
              "0      63    1   3       145   233    1        0      150      0      2.3   \n",
              "1      63    1   3       145   233    1        0      150      0      2.3   \n",
              "2      63    1   3       145   233    1        0      150      0      2.3   \n",
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              "    age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
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              "99   41    0   1       126   306    0        1      163      0      0.0   \n",
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              "    slope  ca  thal  target     bmi  children smoker     region      charges  \n",
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              "      <td>2.3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>28.310</td>\n",
              "      <td>0</td>\n",
              "      <td>no</td>\n",
              "      <td>northwest</td>\n",
              "      <td>13770.09790</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>63</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>145</td>\n",
              "      <td>233</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>150</td>\n",
              "      <td>0</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>35.090</td>\n",
              "      <td>0</td>\n",
              "      <td>yes</td>\n",
              "      <td>southeast</td>\n",
              "      <td>47055.53210</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>63</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>145</td>\n",
              "      <td>233</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>150</td>\n",
              "      <td>0</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>41.470</td>\n",
              "      <td>0</td>\n",
              "      <td>no</td>\n",
              "      <td>southeast</td>\n",
              "      <td>13405.39030</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>63</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>145</td>\n",
              "      <td>233</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>150</td>\n",
              "      <td>0</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>36.765</td>\n",
              "      <td>0</td>\n",
              "      <td>no</td>\n",
              "      <td>northeast</td>\n",
              "      <td>13981.85035</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>63</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>145</td>\n",
              "      <td>233</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>150</td>\n",
              "      <td>0</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>41.325</td>\n",
              "      <td>3</td>\n",
              "      <td>no</td>\n",
              "      <td>northwest</td>\n",
              "      <td>15555.18875</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>41</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>112</td>\n",
              "      <td>268</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>172</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>28.050</td>\n",
              "      <td>1</td>\n",
              "      <td>no</td>\n",
              "      <td>southeast</td>\n",
              "      <td>6770.19250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>41</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>126</td>\n",
              "      <td>306</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>163</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>32.965</td>\n",
              "      <td>0</td>\n",
              "      <td>no</td>\n",
              "      <td>northwest</td>\n",
              "      <td>6571.02435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>41</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>126</td>\n",
              "      <td>306</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>163</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>31.600</td>\n",
              "      <td>0</td>\n",
              "      <td>no</td>\n",
              "      <td>southwest</td>\n",
              "      <td>6186.12700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>41</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>126</td>\n",
              "      <td>306</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>163</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>33.155</td>\n",
              "      <td>3</td>\n",
              "      <td>no</td>\n",
              "      <td>northeast</td>\n",
              "      <td>8538.28845</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>41</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>126</td>\n",
              "      <td>306</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>163</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>32.200</td>\n",
              "      <td>1</td>\n",
              "      <td>no</td>\n",
              "      <td>southwest</td>\n",
              "      <td>6775.96100</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>100 rows × 19 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d920fc51-2882-4e49-9761-0860b831657b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
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              "      flex-wrap:wrap;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "          document.querySelector('#df-d920fc51-2882-4e49-9761-0860b831657b button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d920fc51-2882-4e49-9761-0860b831657b');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "heart.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UVCMmmRefYgO",
        "outputId": "0649bede-4a1c-4be7-cccc-50f79414439c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "age           int64\n",
              "sex           int64\n",
              "cp            int64\n",
              "trestbps      int64\n",
              "chol          int64\n",
              "fbs           int64\n",
              "restecg       int64\n",
              "thalach       int64\n",
              "exang         int64\n",
              "oldpeak     float64\n",
              "slope         int64\n",
              "ca            int64\n",
              "thal          int64\n",
              "target        int64\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "insurance.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cWgKBerXhIXP",
        "outputId": "c1c64b2c-c1d7-47bd-baa9-d174b494987f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "age           int64\n",
              "sex           int64\n",
              "bmi         float64\n",
              "children      int64\n",
              "smoker       object\n",
              "region       object\n",
              "charges     float64\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "heart['age'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qWwHr4PshK2J",
        "outputId": "25b6a37f-1da1-4404-f617-1b466d1f4e22"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "58    19\n",
              "57    17\n",
              "54    16\n",
              "59    14\n",
              "52    13\n",
              "51    12\n",
              "62    11\n",
              "60    11\n",
              "44    11\n",
              "56    11\n",
              "64    10\n",
              "41    10\n",
              "63     9\n",
              "67     9\n",
              "65     8\n",
              "43     8\n",
              "45     8\n",
              "55     8\n",
              "42     8\n",
              "61     8\n",
              "53     8\n",
              "46     7\n",
              "48     7\n",
              "66     7\n",
              "50     7\n",
              "49     5\n",
              "47     5\n",
              "70     4\n",
              "39     4\n",
              "35     4\n",
              "68     4\n",
              "38     3\n",
              "71     3\n",
              "40     3\n",
              "69     3\n",
              "34     2\n",
              "37     2\n",
              "29     1\n",
              "74     1\n",
              "76     1\n",
              "77     1\n",
              "Name: age, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "insurance['age'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tXNdLFIj0T2Q",
        "outputId": "5e2e75c1-5fd1-4538-c3e5-5569308fd691"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "18    69\n",
              "19    68\n",
              "50    29\n",
              "51    29\n",
              "47    29\n",
              "46    29\n",
              "45    29\n",
              "20    29\n",
              "48    29\n",
              "52    29\n",
              "22    28\n",
              "49    28\n",
              "54    28\n",
              "53    28\n",
              "21    28\n",
              "26    28\n",
              "24    28\n",
              "25    28\n",
              "28    28\n",
              "27    28\n",
              "23    28\n",
              "43    27\n",
              "29    27\n",
              "30    27\n",
              "41    27\n",
              "42    27\n",
              "44    27\n",
              "31    27\n",
              "40    27\n",
              "32    26\n",
              "33    26\n",
              "56    26\n",
              "34    26\n",
              "55    26\n",
              "57    26\n",
              "37    25\n",
              "59    25\n",
              "58    25\n",
              "36    25\n",
              "38    25\n",
              "35    25\n",
              "39    25\n",
              "61    23\n",
              "60    23\n",
              "63    23\n",
              "62    23\n",
              "64    22\n",
              "Name: age, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "merged_df['age'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kI9leADt0YWx",
        "outputId": "42e388bb-40ee-476f-8304-c494bb535d34"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "58    234\n",
              "54    224\n",
              "57    221\n",
              "52    183\n",
              "51    172\n",
              "59    169\n",
              "44    145\n",
              "56    143\n",
              "41    136\n",
              "60    128\n",
              "62    128\n",
              "45    117\n",
              "53    112\n",
              "64    110\n",
              "42    110\n",
              "43    106\n",
              "55    104\n",
              "63    104\n",
              "46    102\n",
              "50    102\n",
              "48     99\n",
              "61     90\n",
              "47     70\n",
              "49     70\n",
              "35     51\n",
              "39     50\n",
              "40     42\n",
              "38     36\n",
              "34     26\n",
              "37     25\n",
              "29     14\n",
              "Name: age, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "merged_df2 = merged_df.merge(liver, how=\"inner\", left_on=[\"age\", \"sex\"], right_on=[\"Age\", \"Gender\"])\n",
        "merged_df2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "za9EOIBK0nCp",
        "outputId": "d90b4b47-f531-4e64-adb4-d72a513f1d07"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
              "0       63    1   3       145   233    1        0      150      0      2.3   \n",
              "1       63    1   3       145   233    1        0      150      0      2.3   \n",
              "2       63    1   3       145   233    1        0      150      0      2.3   \n",
              "3       63    1   3       145   233    1        0      150      0      2.3   \n",
              "4       63    1   3       145   233    1        0      150      0      2.3   \n",
              "...    ...  ...  ..       ...   ...  ...      ...      ...    ...      ...   \n",
              "21205   60    1   0       140   293    0        0      170      0      1.2   \n",
              "21206   60    1   0       140   293    0        0      170      0      1.2   \n",
              "21207   60    1   0       140   293    0        0      170      0      1.2   \n",
              "21208   60    1   0       140   293    0        0      170      0      1.2   \n",
              "21209   60    1   0       140   293    0        0      170      0      1.2   \n",
              "\n",
              "       ...  Gender    TB   DB  Alkphos  Sgpt  Sgot   TP  ALB   A/G  target_y  \n",
              "0      ...       1   0.9  0.2      194    52    45  6.0  3.9  1.85         2  \n",
              "1      ...       1   0.5  0.1      170    21    28  5.5  2.5  0.80         1  \n",
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          "metadata": {},
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    },
    {
      "cell_type": "code",
      "source": [
        "merged_df3 = merged_df2.merge(diabetes, how=\"inner\", left_on=\"age\", right_on=\"Age\")\n",
        "merged_df3"
      ],
      "metadata": {
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          "height": 488
        },
        "id": "-dg5GrVS4z6o",
        "outputId": "b9458918-7d85-42ad-c798-3066f6f87106"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
              "0        63    1   3       145   233    1        0      150      0      2.3   \n",
              "1        63    1   3       145   233    1        0      150      0      2.3   \n",
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              "182310   38    1   3       120   231    0        1      182      1      3.8   \n",
              "\n",
              "        ...  target_y  Pregnancies  Glucose  BloodPressure  SkinThickness  \\\n",
              "0       ...         2            3      142             80             15   \n",
              "1       ...         2            5      158             70              0   \n",
              "2       ...         2            4      132             86             31   \n",
              "3       ...         2           10      101             76             48   \n",
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              "182309  ...         2           10      129             62             36   \n",
              "182310  ...         2            4      112             78             40   \n",
              "\n",
              "        Insulin   BMI DiabetesPedigreeFunction  Age_y  Outcome  \n",
              "0             0  32.4                    0.200     63        0  \n",
              "1             0  29.8                    0.207     63        0  \n",
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              "182308        0  31.2                    0.465     38        1  \n",
              "182309        0  41.2                    0.441     38        1  \n",
              "182310        0  39.4                    0.236     38        0  \n",
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              "      <th>Insulin</th>\n",
              "      <th>BMI</th>\n",
              "      <th>DiabetesPedigreeFunction</th>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "heart"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "Ilz7OHDw6F2w",
        "outputId": "1e30151f-d905-4e94-90db-23aff35cef63"
      },
      "execution_count": null,
      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
              "0     63    1   3       145   233    1        0      150      0      2.3   \n",
              "1     37    1   2       130   250    0        1      187      0      3.5   \n",
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              "302   57    0   1       130   236    0        0      174      0      0.0   \n",
              "\n",
              "     slope  ca  thal  target  \n",
              "0        0   0     1       1  \n",
              "1        0   0     2       1  \n",
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              "..     ...  ..   ...     ...  \n",
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              "\n",
              "[303 rows x 14 columns]"
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              "      <th>298</th>\n",
              "      <td>57</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>140</td>\n",
              "      <td>241</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>123</td>\n",
              "      <td>1</td>\n",
              "      <td>0.2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>299</th>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>110</td>\n",
              "      <td>264</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>132</td>\n",
              "      <td>0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>300</th>\n",
              "      <td>68</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>144</td>\n",
              "      <td>193</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>141</td>\n",
              "      <td>0</td>\n",
              "      <td>3.4</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>301</th>\n",
              "      <td>57</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>130</td>\n",
              "      <td>131</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>115</td>\n",
              "      <td>1</td>\n",
              "      <td>1.2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>302</th>\n",
              "      <td>57</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>130</td>\n",
              "      <td>236</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>174</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>303 rows × 14 columns</p>\n",
              "</div>\n",
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              "          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",
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            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "heart_un = heart.drop_duplicates(subset = [\"age\"])\n",
        "heart_un.drop(['target'], inplace=True, axis=1)\n",
        "liver_un = liver.drop_duplicates(subset = [\"Age\"])\n",
        "liver_un.drop(['target'], inplace=True, axis=1)\n",
        "diabetes_un = diabetes.drop_duplicates(subset = [\"Age\"])\n",
        "diabetes_un.drop(['Outcome'], inplace=True, axis=1)\n",
        "merged_df = heart_un.merge(liver_un, how=\"inner\", left_on=[\"age\", \"sex\"], right_on=[\"Age\", \"Gender\"])\n",
        "merged_df2 = merged_df.merge(diabetes_un, how=\"inner\", on=\"Age\")\n",
        "\n",
        "#risk calculation function \n",
        "def CalcRisk(heart_proba, liver_proba, diabetes_proba):\n",
        "    heart_weight=21834\n",
        "    liver_weight=10918\n",
        "    diabetes_weight=1194\n",
        "    risk_fac=((heart_proba*heart_weight) + (liver_proba*liver_weight) + (diabetes_proba*diabetes_weight))\n",
        "              /(heart_weight + liver_weight + diabetes_weight)\n",
        "    return risk_fac\n",
        "  \n",
        "test_results=merged_df2\n",
        "df_heart=test_results[['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs',\t'restecg', 'thalach', 'exang',\n",
        "                       'oldpeak', 'slope', 'ca', 'thal']]\n",
        "df_liver=test_results[['Age', 'Gender', 'TB','DB','Alkphos','Sgpt', 'Sgot','TP',\t'ALB', 'A/G']]\n",
        "df_diabetes=test_results[['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin',\n",
        "                          'BMI', 'DiabetesPedigreeFunction', 'Age']]\n",
        "heart_proba = HeartCalculation(df_heart)\n",
        "liver_proba = LiverCalculation(df_liver)\n",
        "diabetes_proba = DiabetesCalculation(df_diabetes)\n",
        "print(heart_proba, liver_proba, diabetes_proba)\n",
        "MedRiskFactor = CalcRisk(heart_proba, liver_proba, diabetes_proba)\n"
      ],
      "metadata": {
        "id": "TJkH6fdDr8-K"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "heart_un = heart.drop_duplicates(subset = [\"age\"])\n",
        "heart_un.drop(['target'], inplace=True, axis=1)\n",
        "heart_un"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "e50ACrgqSyx7",
        "outputId": "469f6ea5-2d23-4a2a-9e36-750eb4ced73a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py:4913: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  errors=errors,\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
              "0     63    1   3       145   233    1        0      150      0      2.3   \n",
              "1     37    1   2       130   250    0        1      187      0      3.5   \n",
              "2     41    0   1       130   204    0        0      172      0      1.4   \n",
              "3     56    1   1       120   236    0        1      178      0      0.8   \n",
              "4     57    0   0       120   354    0        1      163      1      0.6   \n",
              "7     44    1   1       120   263    0        1      173      0      0.0   \n",
              "8     52    1   2       172   199    1        1      162      0      0.5   \n",
              "10    54    1   0       140   239    0        1      160      0      1.2   \n",
              "11    48    0   2       130   275    0        1      139      0      0.2   \n",
              "12    49    1   1       130   266    0        1      171      0      0.6   \n",
              "13    64    1   3       110   211    0        0      144      1      1.8   \n",
              "14    58    0   3       150   283    1        0      162      0      1.0   \n",
              "15    50    0   2       120   219    0        1      158      0      1.6   \n",
              "17    66    0   3       150   226    0        1      114      0      2.6   \n",
              "18    43    1   0       150   247    0        1      171      0      1.5   \n",
              "19    69    0   3       140   239    0        1      151      0      1.8   \n",
              "20    59    1   0       135   234    0        1      161      0      0.5   \n",
              "22    42    1   0       140   226    0        1      178      0      0.0   \n",
              "23    61    1   2       150   243    1        1      137      1      1.0   \n",
              "24    40    1   3       140   199    0        1      178      1      1.4   \n",
              "25    71    0   1       160   302    0        1      162      0      0.4   \n",
              "27    51    1   2       110   175    0        1      123      0      0.6   \n",
              "28    65    0   2       140   417    1        0      157      0      0.8   \n",
              "29    53    1   2       130   197    1        0      152      0      1.2   \n",
              "35    46    0   2       142   177    0        0      160      1      1.4   \n",
              "42    45    1   0       104   208    0        0      148      1      3.0   \n",
              "44    39    1   2       140   321    0        0      182      0      0.0   \n",
              "47    47    1   2       138   257    0        0      156      0      0.0   \n",
              "52    62    1   2       130   231    0        1      146      0      1.8   \n",
              "58    34    1   3       118   182    0        0      174      0      0.0   \n",
              "65    35    0   0       138   183    0        1      182      0      1.4   \n",
              "72    29    1   1       130   204    0        0      202      0      0.0   \n",
              "75    55    0   1       135   250    0        0      161      0      1.4   \n",
              "82    60    0   2       102   318    0        1      160      0      0.0   \n",
              "85    67    0   2       115   564    0        0      160      0      1.6   \n",
              "86    68    1   2       118   277    0        1      151      0      1.0   \n",
              "129   74    0   1       120   269    0        0      121      1      0.2   \n",
              "144   76    0   2       140   197    0        2      116      0      1.1   \n",
              "145   70    1   1       156   245    0        0      143      0      0.0   \n",
              "163   38    1   2       138   175    0        1      173      0      0.0   \n",
              "238   77    1   0       125   304    0        0      162      1      0.0   \n",
              "\n",
              "     slope  ca  thal  \n",
              "0        0   0     1  \n",
              "1        0   0     2  \n",
              "2        2   0     2  \n",
              "3        2   0     2  \n",
              "4        2   0     2  \n",
              "7        2   0     3  \n",
              "8        2   0     3  \n",
              "10       2   0     2  \n",
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              "12       2   0     2  \n",
              "13       1   0     2  \n",
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              "23       1   0     2  \n",
              "24       2   0     3  \n",
              "25       2   2     2  \n",
              "27       2   0     2  \n",
              "28       2   1     2  \n",
              "29       0   0     2  \n",
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              "42       1   0     2  \n",
              "44       2   0     2  \n",
              "47       2   0     2  \n",
              "52       1   3     3  \n",
              "58       2   0     2  \n",
              "65       2   0     2  \n",
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              "85       1   0     3  \n",
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              "144      1   0     2  \n",
              "145      2   0     2  \n",
              "163      2   4     2  \n",
              "238      2   3     2  "
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>48</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>275</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>139</td>\n",
              "      <td>0</td>\n",
              "      <td>0.2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>49</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>130</td>\n",
              "      <td>266</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>171</td>\n",
              "      <td>0</td>\n",
              "      <td>0.6</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>64</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>110</td>\n",
              "      <td>211</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>144</td>\n",
              "      <td>1</td>\n",
              "      <td>1.8</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>58</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>150</td>\n",
              "      <td>283</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>162</td>\n",
              "      <td>0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>50</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>120</td>\n",
              "      <td>219</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>158</td>\n",
              "      <td>0</td>\n",
              "      <td>1.6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>66</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>150</td>\n",
              "      <td>226</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>114</td>\n",
              "      <td>0</td>\n",
              "      <td>2.6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>43</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>150</td>\n",
              "      <td>247</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>171</td>\n",
              "      <td>0</td>\n",
              "      <td>1.5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>69</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>140</td>\n",
              "      <td>239</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>151</td>\n",
              "      <td>0</td>\n",
              "      <td>1.8</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>59</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>135</td>\n",
              "      <td>234</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>161</td>\n",
              "      <td>0</td>\n",
              "      <td>0.5</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>42</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>140</td>\n",
              "      <td>226</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>178</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>61</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>150</td>\n",
              "      <td>243</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>137</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>40</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>140</td>\n",
              "      <td>199</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>178</td>\n",
              "      <td>1</td>\n",
              "      <td>1.4</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>71</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>160</td>\n",
              "      <td>302</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>162</td>\n",
              "      <td>0</td>\n",
              "      <td>0.4</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>51</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>110</td>\n",
              "      <td>175</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>123</td>\n",
              "      <td>0</td>\n",
              "      <td>0.6</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>65</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>140</td>\n",
              "      <td>417</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>157</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>53</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>197</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>152</td>\n",
              "      <td>0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>46</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>142</td>\n",
              "      <td>177</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>160</td>\n",
              "      <td>1</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>104</td>\n",
              "      <td>208</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>148</td>\n",
              "      <td>1</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>140</td>\n",
              "      <td>321</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>47</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>138</td>\n",
              "      <td>257</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>156</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>62</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>231</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>146</td>\n",
              "      <td>0</td>\n",
              "      <td>1.8</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>34</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>118</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>174</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>35</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>138</td>\n",
              "      <td>183</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>1.4</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>29</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>130</td>\n",
              "      <td>204</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>202</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>55</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>135</td>\n",
              "      <td>250</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>161</td>\n",
              "      <td>0</td>\n",
              "      <td>1.4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>60</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>102</td>\n",
              "      <td>318</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>160</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>67</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>115</td>\n",
              "      <td>564</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>160</td>\n",
              "      <td>0</td>\n",
              "      <td>1.6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>68</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>118</td>\n",
              "      <td>277</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>151</td>\n",
              "      <td>0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>129</th>\n",
              "      <td>74</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>120</td>\n",
              "      <td>269</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>121</td>\n",
              "      <td>1</td>\n",
              "      <td>0.2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>76</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>140</td>\n",
              "      <td>197</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>116</td>\n",
              "      <td>0</td>\n",
              "      <td>1.1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>145</th>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>245</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>143</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>163</th>\n",
              "      <td>38</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>138</td>\n",
              "      <td>175</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>173</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>238</th>\n",
              "      <td>77</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>125</td>\n",
              "      <td>304</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>162</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a04ac106-5b2d-4c00-bcfc-eb4ddd739b0a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
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              "    .colab-df-convert:hover {\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "      fill: #D2E3FC;\n",
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              "\n",
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              "            + ' to learn more about interactive tables.';\n",
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          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "liver_un = liver.drop_duplicates(subset = [\"Age\"])\n",
        "liver_un.drop(['target'], inplace=True, axis=1)\n",
        "liver_un"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        },
        "id": "dk6cVOqHTQGJ",
        "outputId": "d8a98d48-168d-4814-d740-db997e49435d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py:4913: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  errors=errors,\n"
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              "     Age  Gender    TB   DB  Alkphos  Sgpt  Sgot   TP  ALB   A/G\n",
              "0     65       0   0.7  0.1      187    16    18  6.8  3.3  0.90\n",
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              "4     72       1   3.9  2.0      195    27    59  7.3  2.4  0.40\n",
              "5     46       1   1.8  0.7      208    19    14  7.6  4.4  1.30\n",
              "..   ...     ...   ...  ...      ...   ...   ...  ...  ...   ...\n",
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          },
          "metadata": {},
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        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "diabetes_un = diabetes.drop_duplicates(subset = [\"Age\"])\n",
        "diabetes_un.drop(['Outcome'], inplace=True, axis=1)\n",
        "diabetes_un"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "axeI_k8qTcUN",
        "outputId": "c04d854b-f0f9-4f7d-99fa-2c06f76878df"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py:4913: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  errors=errors,\n"
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          "data": {
            "text/plain": [
              "     Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
              "0              6      148             72             35        0  33.6   \n",
              "1              1       85             66             29        0  26.6   \n",
              "2              8      183             64              0        0  23.3   \n",
              "3              1       89             66             23       94  28.1   \n",
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              "6              3       78             50             32       88  31.0   \n",
              "7             10      115              0              0        0  35.3   \n",
              "8              2      197             70             45      543  30.5   \n",
              "9              8      125             96              0        0   0.0   \n",
              "11            10      168             74              0        0  38.0   \n",
              "12            10      139             80              0        0  27.1   \n",
              "13             1      189             60             23      846  30.1   \n",
              "14             5      166             72             19      175  25.8   \n",
              "20             3      126             88             41      235  39.3   \n",
              "22             7      196             90              0        0  39.8   \n",
              "26             7      147             76              0        0  39.4   \n",
              "27             1       97             66             15      140  23.2   \n",
              "29             5      117             92              0        0  34.1   \n",
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              "140            3      128             78              0        0  21.1   \n",
              "148            5      147             78              0        0  33.7   \n",
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              "666            4      145             82             18        0  32.5   \n",
              "674            8       91             82              0        0  35.6   \n",
              "\n",
              "     DiabetesPedigreeFunction  Age  \n",
              "0                       0.627   50  \n",
              "1                       0.351   31  \n",
              "2                       0.672   32  \n",
              "3                       0.167   21  \n",
              "4                       2.288   33  \n",
              "5                       0.201   30  \n",
              "6                       0.248   26  \n",
              "7                       0.134   29  \n",
              "8                       0.158   53  \n",
              "9                       0.232   54  \n",
              "11                      0.537   34  \n",
              "12                      1.441   57  \n",
              "13                      0.398   59  \n",
              "14                      0.587   51  \n",
              "20                      0.704   27  \n",
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              "29                      0.337   38  \n",
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              "    <div 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>Pregnancies</th>\n",
              "      <th>Glucose</th>\n",
              "      <th>BloodPressure</th>\n",
              "      <th>SkinThickness</th>\n",
              "      <th>Insulin</th>\n",
              "      <th>BMI</th>\n",
              "      <th>DiabetesPedigreeFunction</th>\n",
              "      <th>Age</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>6</td>\n",
              "      <td>148</td>\n",
              "      <td>72</td>\n",
              "      <td>35</td>\n",
              "      <td>0</td>\n",
              "      <td>33.6</td>\n",
              "      <td>0.627</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>85</td>\n",
              "      <td>66</td>\n",
              "      <td>29</td>\n",
              "      <td>0</td>\n",
              "      <td>26.6</td>\n",
              "      <td>0.351</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>8</td>\n",
              "      <td>183</td>\n",
              "      <td>64</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>23.3</td>\n",
              "      <td>0.672</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>89</td>\n",
              "      <td>66</td>\n",
              "      <td>23</td>\n",
              "      <td>94</td>\n",
              "      <td>28.1</td>\n",
              "      <td>0.167</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>137</td>\n",
              "      <td>40</td>\n",
              "      <td>35</td>\n",
              "      <td>168</td>\n",
              "      <td>43.1</td>\n",
              "      <td>2.288</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5</td>\n",
              "      <td>116</td>\n",
              "      <td>74</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>25.6</td>\n",
              "      <td>0.201</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>3</td>\n",
              "      <td>78</td>\n",
              "      <td>50</td>\n",
              "      <td>32</td>\n",
              "      <td>88</td>\n",
              "      <td>31.0</td>\n",
              "      <td>0.248</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>10</td>\n",
              "      <td>115</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>35.3</td>\n",
              "      <td>0.134</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2</td>\n",
              "      <td>197</td>\n",
              "      <td>70</td>\n",
              "      <td>45</td>\n",
              "      <td>543</td>\n",
              "      <td>30.5</td>\n",
              "      <td>0.158</td>\n",
              "      <td>53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>8</td>\n",
              "      <td>125</td>\n",
              "      <td>96</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.232</td>\n",
              "      <td>54</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>10</td>\n",
              "      <td>168</td>\n",
              "      <td>74</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>38.0</td>\n",
              "      <td>0.537</td>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>10</td>\n",
              "      <td>139</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>27.1</td>\n",
              "      <td>1.441</td>\n",
              "      <td>57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>1</td>\n",
              "      <td>189</td>\n",
              "      <td>60</td>\n",
              "      <td>23</td>\n",
              "      <td>846</td>\n",
              "      <td>30.1</td>\n",
              "      <td>0.398</td>\n",
              "      <td>59</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>5</td>\n",
              "      <td>166</td>\n",
              "      <td>72</td>\n",
              "      <td>19</td>\n",
              "      <td>175</td>\n",
              "      <td>25.8</td>\n",
              "      <td>0.587</td>\n",
              "      <td>51</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>3</td>\n",
              "      <td>126</td>\n",
              "      <td>88</td>\n",
              "      <td>41</td>\n",
              "      <td>235</td>\n",
              "      <td>39.3</td>\n",
              "      <td>0.704</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>7</td>\n",
              "      <td>196</td>\n",
              "      <td>90</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>39.8</td>\n",
              "      <td>0.451</td>\n",
              "      <td>41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>7</td>\n",
              "      <td>147</td>\n",
              "      <td>76</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>39.4</td>\n",
              "      <td>0.257</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>1</td>\n",
              "      <td>97</td>\n",
              "      <td>66</td>\n",
              "      <td>15</td>\n",
              "      <td>140</td>\n",
              "      <td>23.2</td>\n",
              "      <td>0.487</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>5</td>\n",
              "      <td>117</td>\n",
              "      <td>92</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>34.1</td>\n",
              "      <td>0.337</td>\n",
              "      <td>38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>5</td>\n",
              "      <td>109</td>\n",
              "      <td>75</td>\n",
              "      <td>26</td>\n",
              "      <td>0</td>\n",
              "      <td>36.0</td>\n",
              "      <td>0.546</td>\n",
              "      <td>60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>3</td>\n",
              "      <td>158</td>\n",
              "      <td>76</td>\n",
              "      <td>36</td>\n",
              "      <td>245</td>\n",
              "      <td>31.6</td>\n",
              "      <td>0.851</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>10</td>\n",
              "      <td>122</td>\n",
              "      <td>78</td>\n",
              "      <td>31</td>\n",
              "      <td>0</td>\n",
              "      <td>27.6</td>\n",
              "      <td>0.512</td>\n",
              "      <td>45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>11</td>\n",
              "      <td>138</td>\n",
              "      <td>76</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>33.2</td>\n",
              "      <td>0.420</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>9</td>\n",
              "      <td>102</td>\n",
              "      <td>76</td>\n",
              "      <td>37</td>\n",
              "      <td>0</td>\n",
              "      <td>32.9</td>\n",
              "      <td>0.665</td>\n",
              "      <td>46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>4</td>\n",
              "      <td>111</td>\n",
              "      <td>72</td>\n",
              "      <td>47</td>\n",
              "      <td>207</td>\n",
              "      <td>37.1</td>\n",
              "      <td>1.390</td>\n",
              "      <td>56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>7</td>\n",
              "      <td>133</td>\n",
              "      <td>84</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>40.2</td>\n",
              "      <td>0.696</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>7</td>\n",
              "      <td>106</td>\n",
              "      <td>92</td>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>22.7</td>\n",
              "      <td>0.235</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>7</td>\n",
              "      <td>159</td>\n",
              "      <td>64</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>27.4</td>\n",
              "      <td>0.294</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>0</td>\n",
              "      <td>180</td>\n",
              "      <td>66</td>\n",
              "      <td>39</td>\n",
              "      <td>0</td>\n",
              "      <td>42.0</td>\n",
              "      <td>1.893</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>7</td>\n",
              "      <td>105</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.305</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>8</td>\n",
              "      <td>176</td>\n",
              "      <td>90</td>\n",
              "      <td>34</td>\n",
              "      <td>300</td>\n",
              "      <td>33.7</td>\n",
              "      <td>0.467</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>7</td>\n",
              "      <td>150</td>\n",
              "      <td>66</td>\n",
              "      <td>42</td>\n",
              "      <td>342</td>\n",
              "      <td>34.7</td>\n",
              "      <td>0.718</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>0</td>\n",
              "      <td>146</td>\n",
              "      <td>82</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>40.5</td>\n",
              "      <td>1.781</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>8</td>\n",
              "      <td>133</td>\n",
              "      <td>72</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>32.9</td>\n",
              "      <td>0.270</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>5</td>\n",
              "      <td>44</td>\n",
              "      <td>62</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.587</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>4</td>\n",
              "      <td>129</td>\n",
              "      <td>86</td>\n",
              "      <td>20</td>\n",
              "      <td>270</td>\n",
              "      <td>35.1</td>\n",
              "      <td>0.231</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115</th>\n",
              "      <td>4</td>\n",
              "      <td>146</td>\n",
              "      <td>92</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>31.2</td>\n",
              "      <td>0.539</td>\n",
              "      <td>61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>123</th>\n",
              "      <td>5</td>\n",
              "      <td>132</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>26.8</td>\n",
              "      <td>0.186</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>129</th>\n",
              "      <td>0</td>\n",
              "      <td>105</td>\n",
              "      <td>84</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>27.9</td>\n",
              "      <td>0.741</td>\n",
              "      <td>62</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>3</td>\n",
              "      <td>128</td>\n",
              "      <td>78</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>21.1</td>\n",
              "      <td>0.268</td>\n",
              "      <td>55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148</th>\n",
              "      <td>5</td>\n",
              "      <td>147</td>\n",
              "      <td>78</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>33.7</td>\n",
              "      <td>0.218</td>\n",
              "      <td>65</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>159</th>\n",
              "      <td>17</td>\n",
              "      <td>163</td>\n",
              "      <td>72</td>\n",
              "      <td>41</td>\n",
              "      <td>114</td>\n",
              "      <td>40.9</td>\n",
              "      <td>0.817</td>\n",
              "      <td>47</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>207</th>\n",
              "      <td>5</td>\n",
              "      <td>162</td>\n",
              "      <td>104</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>37.7</td>\n",
              "      <td>0.151</td>\n",
              "      <td>52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>221</th>\n",
              "      <td>2</td>\n",
              "      <td>158</td>\n",
              "      <td>90</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>31.6</td>\n",
              "      <td>0.805</td>\n",
              "      <td>66</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>245</th>\n",
              "      <td>9</td>\n",
              "      <td>184</td>\n",
              "      <td>85</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.213</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>263</th>\n",
              "      <td>3</td>\n",
              "      <td>142</td>\n",
              "      <td>80</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>32.4</td>\n",
              "      <td>0.200</td>\n",
              "      <td>63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>363</th>\n",
              "      <td>4</td>\n",
              "      <td>146</td>\n",
              "      <td>78</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>38.5</td>\n",
              "      <td>0.520</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>453</th>\n",
              "      <td>2</td>\n",
              "      <td>119</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19.6</td>\n",
              "      <td>0.832</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>459</th>\n",
              "      <td>9</td>\n",
              "      <td>134</td>\n",
              "      <td>74</td>\n",
              "      <td>33</td>\n",
              "      <td>60</td>\n",
              "      <td>25.9</td>\n",
              "      <td>0.460</td>\n",
              "      <td>81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>509</th>\n",
              "      <td>8</td>\n",
              "      <td>120</td>\n",
              "      <td>78</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.409</td>\n",
              "      <td>64</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>666</th>\n",
              "      <td>4</td>\n",
              "      <td>145</td>\n",
              "      <td>82</td>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>32.5</td>\n",
              "      <td>0.235</td>\n",
              "      <td>70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>674</th>\n",
              "      <td>8</td>\n",
              "      <td>91</td>\n",
              "      <td>82</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>35.6</td>\n",
              "      <td>0.587</td>\n",
              "      <td>68</td>\n",
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              "  "
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          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "merged_df = heart_un.merge(liver_un, how=\"inner\", left_on=[\"age\", \"sex\"], right_on=[\"Age\", \"Gender\"])\n",
        "merged_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 833
        },
        "id": "iYM-M3nTTlwH",
        "outputId": "6f4266b7-664a-43b0-ec66-5cada772e16a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  ...  \\\n",
              "0    63    1   3       145   233    1        0      150      0      2.3  ...   \n",
              "1    37    1   2       130   250    0        1      187      0      3.5  ...   \n",
              "2    56    1   1       120   236    0        1      178      0      0.8  ...   \n",
              "3    52    1   2       172   199    1        1      162      0      0.5  ...   \n",
              "4    54    1   0       140   239    0        1      160      0      1.2  ...   \n",
              "5    49    1   1       130   266    0        1      171      0      0.6  ...   \n",
              "6    64    1   3       110   211    0        0      144      1      1.8  ...   \n",
              "7    69    0   3       140   239    0        1      151      0      1.8  ...   \n",
              "8    42    1   0       140   226    0        1      178      0      0.0  ...   \n",
              "9    61    1   2       150   243    1        1      137      1      1.0  ...   \n",
              "10   51    1   2       110   175    0        1      123      0      0.6  ...   \n",
              "11   65    0   2       140   417    1        0      157      0      0.8  ...   \n",
              "12   53    1   2       130   197    1        0      152      0      1.2  ...   \n",
              "13   45    1   0       104   208    0        0      148      1      3.0  ...   \n",
              "14   39    1   2       140   321    0        0      182      0      0.0  ...   \n",
              "15   47    1   2       138   257    0        0      156      0      0.0  ...   \n",
              "16   62    1   2       130   231    0        1      146      0      1.8  ...   \n",
              "17   34    1   3       118   182    0        0      174      0      0.0  ...   \n",
              "18   68    1   2       118   277    0        1      151      0      1.0  ...   \n",
              "19   74    0   1       120   269    0        0      121      1      0.2  ...   \n",
              "20   70    1   1       156   245    0        0      143      0      0.0  ...   \n",
              "21   38    1   2       138   175    0        1      173      0      0.0  ...   \n",
              "\n",
              "    Age  Gender    TB   DB  Alkphos  Sgpt  Sgot   TP  ALB   A/G  \n",
              "0    63       1   0.9  0.2      194    52    45  6.0  3.9  1.85  \n",
              "1    37       1   1.8  0.8      215    53    58  6.4  3.8  1.40  \n",
              "2    56       1   1.1  0.5      180    30    42  6.9  3.8  1.20  \n",
              "3    52       1   0.9  0.2      156    35    44  4.9  2.9  1.40  \n",
              "4    54       1   2.2  1.2      195    55    95  6.0  3.7  1.60  \n",
              "5    49       1   0.7  0.1      148    14    12  5.4  2.8  1.00  \n",
              "6    64       1   0.9  0.3      310    61    58  7.0  3.4  0.90  \n",
              "7    69       0   0.8  0.2      146    42    70  8.4  4.9  1.40  \n",
              "8    42       1   6.8  3.2      630    25    47  6.1  2.3  0.60  \n",
              "9    61       1   0.7  0.2      145    53    41  5.8  2.7  0.87  \n",
              "10   51       1   2.2  1.0      610    17    28  7.3  2.6  0.55  \n",
              "11   65       0   0.7  0.1      187    16    18  6.8  3.3  0.90  \n",
              "12   53       1   0.9  0.4      238    17    14  6.6  2.9  0.80  \n",
              "13   45       1   2.4  1.1      168    33    50  5.1  2.6  1.00  \n",
              "14   39       1   3.8  1.5      298   102   630  7.1  3.3  0.80  \n",
              "15   47       1   2.7  1.3      275   123    73  6.2  3.3  1.10  \n",
              "16   62       1  10.9  5.5      699    64   100  7.5  3.2  0.74  \n",
              "17   34       1   4.1  2.0      289   875   731  5.0  2.7  1.10  \n",
              "18   68       1   0.7  0.1      145    20    22  5.8  2.9  1.00  \n",
              "19   74       0   1.1  0.4      214    22    30  8.1  4.1  1.00  \n",
              "20   70       1   1.4  0.6      146    12    24  6.2  3.8  1.58  \n",
              "21   38       1   1.8  0.8      342   168   441  7.6  4.4  1.30  \n",
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              "      <td>110</td>\n",
              "      <td>175</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>123</td>\n",
              "      <td>0</td>\n",
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              "      <td>17</td>\n",
              "      <td>28</td>\n",
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              "      <td>157</td>\n",
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              "      <td>0.8</td>\n",
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              "      <td>65</td>\n",
              "      <td>0</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.1</td>\n",
              "      <td>187</td>\n",
              "      <td>16</td>\n",
              "      <td>18</td>\n",
              "      <td>6.8</td>\n",
              "      <td>3.3</td>\n",
              "      <td>0.90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>53</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>197</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>152</td>\n",
              "      <td>0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>...</td>\n",
              "      <td>53</td>\n",
              "      <td>1</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.4</td>\n",
              "      <td>238</td>\n",
              "      <td>17</td>\n",
              "      <td>14</td>\n",
              "      <td>6.6</td>\n",
              "      <td>2.9</td>\n",
              "      <td>0.80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>104</td>\n",
              "      <td>208</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>148</td>\n",
              "      <td>1</td>\n",
              "      <td>3.0</td>\n",
              "      <td>...</td>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>2.4</td>\n",
              "      <td>1.1</td>\n",
              "      <td>168</td>\n",
              "      <td>33</td>\n",
              "      <td>50</td>\n",
              "      <td>5.1</td>\n",
              "      <td>2.6</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>140</td>\n",
              "      <td>321</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>3.8</td>\n",
              "      <td>1.5</td>\n",
              "      <td>298</td>\n",
              "      <td>102</td>\n",
              "      <td>630</td>\n",
              "      <td>7.1</td>\n",
              "      <td>3.3</td>\n",
              "      <td>0.80</td>\n",
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              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>47</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>138</td>\n",
              "      <td>257</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>156</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>47</td>\n",
              "      <td>1</td>\n",
              "      <td>2.7</td>\n",
              "      <td>1.3</td>\n",
              "      <td>275</td>\n",
              "      <td>123</td>\n",
              "      <td>73</td>\n",
              "      <td>6.2</td>\n",
              "      <td>3.3</td>\n",
              "      <td>1.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>62</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>231</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>146</td>\n",
              "      <td>0</td>\n",
              "      <td>1.8</td>\n",
              "      <td>...</td>\n",
              "      <td>62</td>\n",
              "      <td>1</td>\n",
              "      <td>10.9</td>\n",
              "      <td>5.5</td>\n",
              "      <td>699</td>\n",
              "      <td>64</td>\n",
              "      <td>100</td>\n",
              "      <td>7.5</td>\n",
              "      <td>3.2</td>\n",
              "      <td>0.74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>34</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>118</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>174</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>34</td>\n",
              "      <td>1</td>\n",
              "      <td>4.1</td>\n",
              "      <td>2.0</td>\n",
              "      <td>289</td>\n",
              "      <td>875</td>\n",
              "      <td>731</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.7</td>\n",
              "      <td>1.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>68</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>118</td>\n",
              "      <td>277</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>151</td>\n",
              "      <td>0</td>\n",
              "      <td>1.0</td>\n",
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              "      <td>68</td>\n",
              "      <td>1</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.1</td>\n",
              "      <td>145</td>\n",
              "      <td>20</td>\n",
              "      <td>22</td>\n",
              "      <td>5.8</td>\n",
              "      <td>2.9</td>\n",
              "      <td>1.00</td>\n",
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              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>74</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>120</td>\n",
              "      <td>269</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>121</td>\n",
              "      <td>1</td>\n",
              "      <td>0.2</td>\n",
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              "      <td>74</td>\n",
              "      <td>0</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.4</td>\n",
              "      <td>214</td>\n",
              "      <td>22</td>\n",
              "      <td>30</td>\n",
              "      <td>8.1</td>\n",
              "      <td>4.1</td>\n",
              "      <td>1.00</td>\n",
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              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>245</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>143</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.6</td>\n",
              "      <td>146</td>\n",
              "      <td>12</td>\n",
              "      <td>24</td>\n",
              "      <td>6.2</td>\n",
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              "      <td>1.58</td>\n",
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              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>38</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>138</td>\n",
              "      <td>175</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>173</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>38</td>\n",
              "      <td>1</td>\n",
              "      <td>1.8</td>\n",
              "      <td>0.8</td>\n",
              "      <td>342</td>\n",
              "      <td>168</td>\n",
              "      <td>441</td>\n",
              "      <td>7.6</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1.30</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>22 rows × 23 columns</p>\n",
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          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "merged_df2 = merged_df.merge(diabetes_un, how=\"inner\", on=\"Age\")\n",
        "merged_df2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 801
        },
        "id": "UM0qtswhdPcp",
        "outputId": "227138a4-15d2-47da-8add-dfbfdd20b15b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  ...  \\\n",
              "0    63    1   3       145   233    1        0      150      0      2.3  ...   \n",
              "1    37    1   2       130   250    0        1      187      0      3.5  ...   \n",
              "2    56    1   1       120   236    0        1      178      0      0.8  ...   \n",
              "3    52    1   2       172   199    1        1      162      0      0.5  ...   \n",
              "4    54    1   0       140   239    0        1      160      0      1.2  ...   \n",
              "5    49    1   1       130   266    0        1      171      0      0.6  ...   \n",
              "6    64    1   3       110   211    0        0      144      1      1.8  ...   \n",
              "7    69    0   3       140   239    0        1      151      0      1.8  ...   \n",
              "8    42    1   0       140   226    0        1      178      0      0.0  ...   \n",
              "9    61    1   2       150   243    1        1      137      1      1.0  ...   \n",
              "10   51    1   2       110   175    0        1      123      0      0.6  ...   \n",
              "11   65    0   2       140   417    1        0      157      0      0.8  ...   \n",
              "12   53    1   2       130   197    1        0      152      0      1.2  ...   \n",
              "13   45    1   0       104   208    0        0      148      1      3.0  ...   \n",
              "14   39    1   2       140   321    0        0      182      0      0.0  ...   \n",
              "15   47    1   2       138   257    0        0      156      0      0.0  ...   \n",
              "16   62    1   2       130   231    0        1      146      0      1.8  ...   \n",
              "17   34    1   3       118   182    0        0      174      0      0.0  ...   \n",
              "18   68    1   2       118   277    0        1      151      0      1.0  ...   \n",
              "19   70    1   1       156   245    0        0      143      0      0.0  ...   \n",
              "20   38    1   2       138   175    0        1      173      0      0.0  ...   \n",
              "\n",
              "     TP  ALB   A/G  Pregnancies  Glucose  BloodPressure  SkinThickness  \\\n",
              "0   6.0  3.9  1.85            3      142             80             15   \n",
              "1   6.4  3.8  1.40            7      133             84              0   \n",
              "2   6.9  3.8  1.20            4      111             72             47   \n",
              "3   4.9  2.9  1.40            5      162            104              0   \n",
              "4   6.0  3.7  1.60            8      125             96              0   \n",
              "5   5.4  2.8  1.00            9      184             85             15   \n",
              "6   7.0  3.4  0.90            8      120             78              0   \n",
              "7   8.4  4.9  1.40            5      132             80              0   \n",
              "8   6.1  2.3  0.60            7      150             66             42   \n",
              "9   5.8  2.7  0.87            4      146             92              0   \n",
              "10  7.3  2.6  0.55            5      166             72             19   \n",
              "11  6.8  3.3  0.90            5      147             78              0   \n",
              "12  6.6  2.9  0.80            2      197             70             45   \n",
              "13  5.1  2.6  1.00           10      122             78             31   \n",
              "14  7.1  3.3  0.80            8      133             72              0   \n",
              "15  6.2  3.3  1.10           17      163             72             41   \n",
              "16  7.5  3.2  0.74            0      105             84              0   \n",
              "17  5.0  2.7  1.10           10      168             74              0   \n",
              "18  5.8  2.9  1.00            8       91             82              0   \n",
              "19  6.2  3.8  1.58            4      145             82             18   \n",
              "20  7.6  4.4  1.30            5      117             92              0   \n",
              "\n",
              "    Insulin   BMI  DiabetesPedigreeFunction  \n",
              "0         0  32.4                     0.200  \n",
              "1         0  40.2                     0.696  \n",
              "2       207  37.1                     1.390  \n",
              "3         0  37.7                     0.151  \n",
              "4         0   0.0                     0.232  \n",
              "5         0  30.0                     1.213  \n",
              "6         0  25.0                     0.409  \n",
              "7         0  26.8                     0.186  \n",
              "8       342  34.7                     0.718  \n",
              "9         0  31.2                     0.539  \n",
              "10      175  25.8                     0.587  \n",
              "11        0  33.7                     0.218  \n",
              "12      543  30.5                     0.158  \n",
              "13        0  27.6                     0.512  \n",
              "14        0  32.9                     0.270  \n",
              "15      114  40.9                     0.817  \n",
              "16        0  27.9                     0.741  \n",
              "17        0  38.0                     0.537  \n",
              "18        0  35.6                     0.587  \n",
              "19        0  32.5                     0.235  \n",
              "20        0  34.1                     0.337  \n",
              "\n",
              "[21 rows x 30 columns]"
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              "      <td>0</td>\n",
              "      <td>32.4</td>\n",
              "      <td>0.200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>37</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>250</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>187</td>\n",
              "      <td>0</td>\n",
              "      <td>3.5</td>\n",
              "      <td>...</td>\n",
              "      <td>6.4</td>\n",
              "      <td>3.8</td>\n",
              "      <td>1.40</td>\n",
              "      <td>7</td>\n",
              "      <td>133</td>\n",
              "      <td>84</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>40.2</td>\n",
              "      <td>0.696</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>56</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>120</td>\n",
              "      <td>236</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>178</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>...</td>\n",
              "      <td>6.9</td>\n",
              "      <td>3.8</td>\n",
              "      <td>1.20</td>\n",
              "      <td>4</td>\n",
              "      <td>111</td>\n",
              "      <td>72</td>\n",
              "      <td>47</td>\n",
              "      <td>207</td>\n",
              "      <td>37.1</td>\n",
              "      <td>1.390</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>52</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>172</td>\n",
              "      <td>199</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>162</td>\n",
              "      <td>0</td>\n",
              "      <td>0.5</td>\n",
              "      <td>...</td>\n",
              "      <td>4.9</td>\n",
              "      <td>2.9</td>\n",
              "      <td>1.40</td>\n",
              "      <td>5</td>\n",
              "      <td>162</td>\n",
              "      <td>104</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>37.7</td>\n",
              "      <td>0.151</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>54</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>140</td>\n",
              "      <td>239</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>160</td>\n",
              "      <td>0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>...</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3.7</td>\n",
              "      <td>1.60</td>\n",
              "      <td>8</td>\n",
              "      <td>125</td>\n",
              "      <td>96</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.232</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>49</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>130</td>\n",
              "      <td>266</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>171</td>\n",
              "      <td>0</td>\n",
              "      <td>0.6</td>\n",
              "      <td>...</td>\n",
              "      <td>5.4</td>\n",
              "      <td>2.8</td>\n",
              "      <td>1.00</td>\n",
              "      <td>9</td>\n",
              "      <td>184</td>\n",
              "      <td>85</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.213</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>64</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>110</td>\n",
              "      <td>211</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>144</td>\n",
              "      <td>1</td>\n",
              "      <td>1.8</td>\n",
              "      <td>...</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.4</td>\n",
              "      <td>0.90</td>\n",
              "      <td>8</td>\n",
              "      <td>120</td>\n",
              "      <td>78</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.409</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>69</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>140</td>\n",
              "      <td>239</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>151</td>\n",
              "      <td>0</td>\n",
              "      <td>1.8</td>\n",
              "      <td>...</td>\n",
              "      <td>8.4</td>\n",
              "      <td>4.9</td>\n",
              "      <td>1.40</td>\n",
              "      <td>5</td>\n",
              "      <td>132</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>26.8</td>\n",
              "      <td>0.186</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>42</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>140</td>\n",
              "      <td>226</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>178</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>6.1</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0.60</td>\n",
              "      <td>7</td>\n",
              "      <td>150</td>\n",
              "      <td>66</td>\n",
              "      <td>42</td>\n",
              "      <td>342</td>\n",
              "      <td>34.7</td>\n",
              "      <td>0.718</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>61</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>150</td>\n",
              "      <td>243</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>137</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.8</td>\n",
              "      <td>2.7</td>\n",
              "      <td>0.87</td>\n",
              "      <td>4</td>\n",
              "      <td>146</td>\n",
              "      <td>92</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>31.2</td>\n",
              "      <td>0.539</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>51</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>110</td>\n",
              "      <td>175</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>123</td>\n",
              "      <td>0</td>\n",
              "      <td>0.6</td>\n",
              "      <td>...</td>\n",
              "      <td>7.3</td>\n",
              "      <td>2.6</td>\n",
              "      <td>0.55</td>\n",
              "      <td>5</td>\n",
              "      <td>166</td>\n",
              "      <td>72</td>\n",
              "      <td>19</td>\n",
              "      <td>175</td>\n",
              "      <td>25.8</td>\n",
              "      <td>0.587</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>65</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>140</td>\n",
              "      <td>417</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>157</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>...</td>\n",
              "      <td>6.8</td>\n",
              "      <td>3.3</td>\n",
              "      <td>0.90</td>\n",
              "      <td>5</td>\n",
              "      <td>147</td>\n",
              "      <td>78</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>33.7</td>\n",
              "      <td>0.218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>53</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>197</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>152</td>\n",
              "      <td>0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>...</td>\n",
              "      <td>6.6</td>\n",
              "      <td>2.9</td>\n",
              "      <td>0.80</td>\n",
              "      <td>2</td>\n",
              "      <td>197</td>\n",
              "      <td>70</td>\n",
              "      <td>45</td>\n",
              "      <td>543</td>\n",
              "      <td>30.5</td>\n",
              "      <td>0.158</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>104</td>\n",
              "      <td>208</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>148</td>\n",
              "      <td>1</td>\n",
              "      <td>3.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.1</td>\n",
              "      <td>2.6</td>\n",
              "      <td>1.00</td>\n",
              "      <td>10</td>\n",
              "      <td>122</td>\n",
              "      <td>78</td>\n",
              "      <td>31</td>\n",
              "      <td>0</td>\n",
              "      <td>27.6</td>\n",
              "      <td>0.512</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>140</td>\n",
              "      <td>321</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>7.1</td>\n",
              "      <td>3.3</td>\n",
              "      <td>0.80</td>\n",
              "      <td>8</td>\n",
              "      <td>133</td>\n",
              "      <td>72</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>32.9</td>\n",
              "      <td>0.270</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>47</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>138</td>\n",
              "      <td>257</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>156</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>6.2</td>\n",
              "      <td>3.3</td>\n",
              "      <td>1.10</td>\n",
              "      <td>17</td>\n",
              "      <td>163</td>\n",
              "      <td>72</td>\n",
              "      <td>41</td>\n",
              "      <td>114</td>\n",
              "      <td>40.9</td>\n",
              "      <td>0.817</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>62</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>231</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>146</td>\n",
              "      <td>0</td>\n",
              "      <td>1.8</td>\n",
              "      <td>...</td>\n",
              "      <td>7.5</td>\n",
              "      <td>3.2</td>\n",
              "      <td>0.74</td>\n",
              "      <td>0</td>\n",
              "      <td>105</td>\n",
              "      <td>84</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>27.9</td>\n",
              "      <td>0.741</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>34</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>118</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>174</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.7</td>\n",
              "      <td>1.10</td>\n",
              "      <td>10</td>\n",
              "      <td>168</td>\n",
              "      <td>74</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>38.0</td>\n",
              "      <td>0.537</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>68</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>118</td>\n",
              "      <td>277</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>151</td>\n",
              "      <td>0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.8</td>\n",
              "      <td>2.9</td>\n",
              "      <td>1.00</td>\n",
              "      <td>8</td>\n",
              "      <td>91</td>\n",
              "      <td>82</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>35.6</td>\n",
              "      <td>0.587</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>245</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>143</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>6.2</td>\n",
              "      <td>3.8</td>\n",
              "      <td>1.58</td>\n",
              "      <td>4</td>\n",
              "      <td>145</td>\n",
              "      <td>82</td>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>32.5</td>\n",
              "      <td>0.235</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>38</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>138</td>\n",
              "      <td>175</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>173</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>7.6</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1.30</td>\n",
              "      <td>5</td>\n",
              "      <td>117</td>\n",
              "      <td>92</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>34.1</td>\n",
              "      <td>0.337</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>21 rows × 30 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-de95a0a7-4cf8-412f-8755-378e5e16aab1')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-de95a0a7-4cf8-412f-8755-378e5e16aab1 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-de95a0a7-4cf8-412f-8755-378e5e16aab1');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "merged_df2['Pregnancies']=0\n",
        "merged_df2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 801
        },
        "id": "g2k1voyHdfh6",
        "outputId": "0ef26660-3d4c-4537-8a01-c0a189a1aaa2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  ...  \\\n",
              "0    63    1   3       145   233    1        0      150      0      2.3  ...   \n",
              "1    37    1   2       130   250    0        1      187      0      3.5  ...   \n",
              "2    56    1   1       120   236    0        1      178      0      0.8  ...   \n",
              "3    52    1   2       172   199    1        1      162      0      0.5  ...   \n",
              "4    54    1   0       140   239    0        1      160      0      1.2  ...   \n",
              "5    49    1   1       130   266    0        1      171      0      0.6  ...   \n",
              "6    64    1   3       110   211    0        0      144      1      1.8  ...   \n",
              "7    69    0   3       140   239    0        1      151      0      1.8  ...   \n",
              "8    42    1   0       140   226    0        1      178      0      0.0  ...   \n",
              "9    61    1   2       150   243    1        1      137      1      1.0  ...   \n",
              "10   51    1   2       110   175    0        1      123      0      0.6  ...   \n",
              "11   65    0   2       140   417    1        0      157      0      0.8  ...   \n",
              "12   53    1   2       130   197    1        0      152      0      1.2  ...   \n",
              "13   45    1   0       104   208    0        0      148      1      3.0  ...   \n",
              "14   39    1   2       140   321    0        0      182      0      0.0  ...   \n",
              "15   47    1   2       138   257    0        0      156      0      0.0  ...   \n",
              "16   62    1   2       130   231    0        1      146      0      1.8  ...   \n",
              "17   34    1   3       118   182    0        0      174      0      0.0  ...   \n",
              "18   68    1   2       118   277    0        1      151      0      1.0  ...   \n",
              "19   70    1   1       156   245    0        0      143      0      0.0  ...   \n",
              "20   38    1   2       138   175    0        1      173      0      0.0  ...   \n",
              "\n",
              "     TP  ALB   A/G  Pregnancies  Glucose  BloodPressure  SkinThickness  \\\n",
              "0   6.0  3.9  1.85            0      142             80             15   \n",
              "1   6.4  3.8  1.40            0      133             84              0   \n",
              "2   6.9  3.8  1.20            0      111             72             47   \n",
              "3   4.9  2.9  1.40            0      162            104              0   \n",
              "4   6.0  3.7  1.60            0      125             96              0   \n",
              "5   5.4  2.8  1.00            0      184             85             15   \n",
              "6   7.0  3.4  0.90            0      120             78              0   \n",
              "7   8.4  4.9  1.40            0      132             80              0   \n",
              "8   6.1  2.3  0.60            0      150             66             42   \n",
              "9   5.8  2.7  0.87            0      146             92              0   \n",
              "10  7.3  2.6  0.55            0      166             72             19   \n",
              "11  6.8  3.3  0.90            0      147             78              0   \n",
              "12  6.6  2.9  0.80            0      197             70             45   \n",
              "13  5.1  2.6  1.00            0      122             78             31   \n",
              "14  7.1  3.3  0.80            0      133             72              0   \n",
              "15  6.2  3.3  1.10            0      163             72             41   \n",
              "16  7.5  3.2  0.74            0      105             84              0   \n",
              "17  5.0  2.7  1.10            0      168             74              0   \n",
              "18  5.8  2.9  1.00            0       91             82              0   \n",
              "19  6.2  3.8  1.58            0      145             82             18   \n",
              "20  7.6  4.4  1.30            0      117             92              0   \n",
              "\n",
              "    Insulin   BMI  DiabetesPedigreeFunction  \n",
              "0         0  32.4                     0.200  \n",
              "1         0  40.2                     0.696  \n",
              "2       207  37.1                     1.390  \n",
              "3         0  37.7                     0.151  \n",
              "4         0   0.0                     0.232  \n",
              "5         0  30.0                     1.213  \n",
              "6         0  25.0                     0.409  \n",
              "7         0  26.8                     0.186  \n",
              "8       342  34.7                     0.718  \n",
              "9         0  31.2                     0.539  \n",
              "10      175  25.8                     0.587  \n",
              "11        0  33.7                     0.218  \n",
              "12      543  30.5                     0.158  \n",
              "13        0  27.6                     0.512  \n",
              "14        0  32.9                     0.270  \n",
              "15      114  40.9                     0.817  \n",
              "16        0  27.9                     0.741  \n",
              "17        0  38.0                     0.537  \n",
              "18        0  35.6                     0.587  \n",
              "19        0  32.5                     0.235  \n",
              "20        0  34.1                     0.337  \n",
              "\n",
              "[21 rows x 30 columns]"
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>age</th>\n",
              "      <th>sex</th>\n",
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              "      <td>142</td>\n",
              "      <td>80</td>\n",
              "      <td>15</td>\n",
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              "      <td>32.4</td>\n",
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              "      <th>1</th>\n",
              "      <td>37</td>\n",
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              "      <td>250</td>\n",
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              "      <td>187</td>\n",
              "      <td>0</td>\n",
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              "      <td>133</td>\n",
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              "      <td>40.2</td>\n",
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              "      <th>2</th>\n",
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              "      <td>1</td>\n",
              "      <td>178</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>...</td>\n",
              "      <td>6.9</td>\n",
              "      <td>3.8</td>\n",
              "      <td>1.20</td>\n",
              "      <td>0</td>\n",
              "      <td>111</td>\n",
              "      <td>72</td>\n",
              "      <td>47</td>\n",
              "      <td>207</td>\n",
              "      <td>37.1</td>\n",
              "      <td>1.390</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>52</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>172</td>\n",
              "      <td>199</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>162</td>\n",
              "      <td>0</td>\n",
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              "      <td>2.9</td>\n",
              "      <td>1.40</td>\n",
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              "      <td>162</td>\n",
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              "      <th>4</th>\n",
              "      <td>54</td>\n",
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              "      <td>239</td>\n",
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              "      <td>1.60</td>\n",
              "      <td>0</td>\n",
              "      <td>125</td>\n",
              "      <td>96</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>184</td>\n",
              "      <td>85</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>30.0</td>\n",
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              "      <td>120</td>\n",
              "      <td>78</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.409</td>\n",
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              "      <td>0</td>\n",
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              "      <td>1.8</td>\n",
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              "      <td>4.9</td>\n",
              "      <td>1.40</td>\n",
              "      <td>0</td>\n",
              "      <td>132</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>26.8</td>\n",
              "      <td>0.186</td>\n",
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              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>42</td>\n",
              "      <td>1</td>\n",
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              "      <td>140</td>\n",
              "      <td>226</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>178</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>2.3</td>\n",
              "      <td>0.60</td>\n",
              "      <td>0</td>\n",
              "      <td>150</td>\n",
              "      <td>66</td>\n",
              "      <td>42</td>\n",
              "      <td>342</td>\n",
              "      <td>34.7</td>\n",
              "      <td>0.718</td>\n",
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              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>61</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>137</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.8</td>\n",
              "      <td>2.7</td>\n",
              "      <td>0.87</td>\n",
              "      <td>0</td>\n",
              "      <td>146</td>\n",
              "      <td>92</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>31.2</td>\n",
              "      <td>0.539</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>51</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>110</td>\n",
              "      <td>175</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>123</td>\n",
              "      <td>0</td>\n",
              "      <td>0.6</td>\n",
              "      <td>...</td>\n",
              "      <td>7.3</td>\n",
              "      <td>2.6</td>\n",
              "      <td>0.55</td>\n",
              "      <td>0</td>\n",
              "      <td>166</td>\n",
              "      <td>72</td>\n",
              "      <td>19</td>\n",
              "      <td>175</td>\n",
              "      <td>25.8</td>\n",
              "      <td>0.587</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>65</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>140</td>\n",
              "      <td>417</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>157</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>...</td>\n",
              "      <td>6.8</td>\n",
              "      <td>3.3</td>\n",
              "      <td>0.90</td>\n",
              "      <td>0</td>\n",
              "      <td>147</td>\n",
              "      <td>78</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>33.7</td>\n",
              "      <td>0.218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>53</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>197</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>152</td>\n",
              "      <td>0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>...</td>\n",
              "      <td>6.6</td>\n",
              "      <td>2.9</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0</td>\n",
              "      <td>197</td>\n",
              "      <td>70</td>\n",
              "      <td>45</td>\n",
              "      <td>543</td>\n",
              "      <td>30.5</td>\n",
              "      <td>0.158</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>104</td>\n",
              "      <td>208</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>148</td>\n",
              "      <td>1</td>\n",
              "      <td>3.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.1</td>\n",
              "      <td>2.6</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0</td>\n",
              "      <td>122</td>\n",
              "      <td>78</td>\n",
              "      <td>31</td>\n",
              "      <td>0</td>\n",
              "      <td>27.6</td>\n",
              "      <td>0.512</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>140</td>\n",
              "      <td>321</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>7.1</td>\n",
              "      <td>3.3</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0</td>\n",
              "      <td>133</td>\n",
              "      <td>72</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>32.9</td>\n",
              "      <td>0.270</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>47</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>138</td>\n",
              "      <td>257</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>156</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>6.2</td>\n",
              "      <td>3.3</td>\n",
              "      <td>1.10</td>\n",
              "      <td>0</td>\n",
              "      <td>163</td>\n",
              "      <td>72</td>\n",
              "      <td>41</td>\n",
              "      <td>114</td>\n",
              "      <td>40.9</td>\n",
              "      <td>0.817</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>62</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>231</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>146</td>\n",
              "      <td>0</td>\n",
              "      <td>1.8</td>\n",
              "      <td>...</td>\n",
              "      <td>7.5</td>\n",
              "      <td>3.2</td>\n",
              "      <td>0.74</td>\n",
              "      <td>0</td>\n",
              "      <td>105</td>\n",
              "      <td>84</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>27.9</td>\n",
              "      <td>0.741</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>34</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>118</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>174</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2.7</td>\n",
              "      <td>1.10</td>\n",
              "      <td>0</td>\n",
              "      <td>168</td>\n",
              "      <td>74</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>38.0</td>\n",
              "      <td>0.537</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>68</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>118</td>\n",
              "      <td>277</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>151</td>\n",
              "      <td>0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>...</td>\n",
              "      <td>5.8</td>\n",
              "      <td>2.9</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0</td>\n",
              "      <td>91</td>\n",
              "      <td>82</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>35.6</td>\n",
              "      <td>0.587</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>245</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>143</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>6.2</td>\n",
              "      <td>3.8</td>\n",
              "      <td>1.58</td>\n",
              "      <td>0</td>\n",
              "      <td>145</td>\n",
              "      <td>82</td>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>32.5</td>\n",
              "      <td>0.235</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>38</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>138</td>\n",
              "      <td>175</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>173</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>7.6</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1.30</td>\n",
              "      <td>0</td>\n",
              "      <td>117</td>\n",
              "      <td>92</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>34.1</td>\n",
              "      <td>0.337</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>21 rows × 30 columns</p>\n",
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    },
    {
      "cell_type": "code",
      "source": [
        "merged_df2.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UfUwvWhvgGkT",
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      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach',\n",
              "       'exang', 'oldpeak', 'slope', 'ca', 'thal', 'Age', 'Gender', 'TB', 'DB',\n",
              "       'Alkphos', 'Sgpt', 'Sgot', 'TP', 'ALB', 'A/G', 'Pregnancies', 'Glucose',\n",
              "       'BloodPressure', 'SkinThickness', 'Insulin', 'BMI',\n",
              "       'DiabetesPedigreeFunction'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pickle\n",
        "\n",
        "#calculation functions\n",
        "def HeartCalculation(df_heart):\n",
        "    df_heart.rename(columns = {'Age':'age', 'Gender':'sex'}, inplace = True)\n",
        "    df_heart[\"cp\"] = df_heart[\"cp\"].apply(np.int64)\n",
        "    df_heart[\"ca\"] = df_heart[\"ca\"].apply(np.int64)\n",
        "    df_heart[\"thal\"] = df_heart[\"thal\"].apply(np.int64)\n",
        "    df_heart[\"slope\"] = df_heart[\"slope\"].apply(np.int64)\n",
        "    df_heart[\"restecg\"] = df_heart[\"restecg\"].apply(np.int64)\n",
        "    df_heart[\"exang\"] = df_heart[\"exang\"].apply(np.int64)\n",
        "    df_heart[\"fbs\"] = df_heart[\"fbs\"].apply(np.int64)\n",
        "    df_heart[\"trestbps\"] = df_heart[\"trestbps\"].apply(np.int64)\n",
        "    df_heart[\"chol\"] = df_heart[\"chol\"].apply(np.int64)\n",
        "    df_heart[\"thalach\"] = df_heart[\"thalach\"].apply(np.int64)\n",
        "    print(df_heart)\n",
        "    df_= PreprocessData_Heart(df_heart)\n",
        "    print(df_)\n",
        "    result = ValuePredictor_Heart(df_.values)       \n",
        "    return result\n",
        "\n",
        "def LiverCalculation(df_liver):\n",
        "    df_liver[\"Alkphos\"] = df_liver[\"Alkphos\"].apply(np.int64)\n",
        "    df_liver.rename(columns = {'A/G Ratio':'A/G',}, inplace = True)\n",
        "    print(df_liver)\n",
        "    df_ = PreprocessData_Liver(df_liver)\n",
        "    print(df_)\n",
        "    result = ValuePredictor_Liver(df_.values) \n",
        "    return result\n",
        "\n",
        "def DiabetesCalculation(df_diabetes):\n",
        "    df_diabetes[\"Pregnancies\"] = df_diabetes[\"Pregnancies\"].apply(np.int64)\n",
        "    df_diabetes[\"Glucose\"] = df_diabetes[\"Glucose\"].apply(np.int64)\n",
        "    df_diabetes[\"BloodPressure\"] = df_diabetes[\"BloodPressure\"].apply(np.int64)\n",
        "    df_diabetes[\"SkinThickness\"] = df_diabetes[\"SkinThickness\"].apply(np.int64)\n",
        "    df_diabetes[\"Insulin\"] = df_diabetes[\"Insulin\"].apply(np.int64)\n",
        "    print(df_diabetes)\n",
        "    result = ValuePredictor_Diabetes(df_diabetes.values) \n",
        "    return result\n",
        "\n",
        "#preprocessing functions\n",
        "def PreprocessData_Heart(df):\n",
        "    a = pd.get_dummies(df['cp'], prefix = \"cp\")\n",
        "    b = pd.get_dummies(df['thal'], prefix = \"thal\")\n",
        "    c = pd.get_dummies(df['slope'], prefix = \"slope\")\n",
        "    frames = [df, a, b, c]\n",
        "    df = pd.concat(frames, axis = 1)\n",
        "    df = df.drop(columns = ['cp', 'thal', 'slope'])\n",
        "    if 'cp_0' in df.columns:\n",
        "        df['cp_1']=0\n",
        "        df['cp_2']=0\n",
        "        df['cp_3']=0\n",
        "    elif 'cp_1' in df.columns:\n",
        "        df['cp_0']=0\n",
        "        df['cp_2']=0\n",
        "        df['cp_3']=0\n",
        "    elif 'cp_2' in df.columns:\n",
        "        df['cp_0']=0\n",
        "        df['cp_1']=0\n",
        "        df['cp_3']=0\n",
        "    elif 'cp_3' in df.columns:\n",
        "        df['cp_0']=0\n",
        "        df['cp_1']=0\n",
        "        df['cp_2']=0\n",
        "    if 'thal_0' in df.columns:\n",
        "        df['thal_1']=0\n",
        "        df['thal_2']=0\n",
        "        df['thal_3']=0\n",
        "    elif 'thal_1' in df.columns:\n",
        "        df['thal_0']=0\n",
        "        df['thal_2']=0\n",
        "        df['thal_3']=0\n",
        "    elif 'thal_2' in df.columns:\n",
        "        df['thal_0']=0\n",
        "        df['thal_1']=0\n",
        "        df['thal_3']=0\n",
        "    elif 'thal_3' in df.columns:\n",
        "        df['thal_0']=0\n",
        "        df['thal_1']=0\n",
        "        df['thal_2']=0\n",
        "    if 'slope_0' in df.columns:\n",
        "        df['slope_1']=0\n",
        "        df['slope_2']=0\n",
        "    elif 'slope_1' in df.columns:\n",
        "        df['slope_0']=0\n",
        "        df['slope_2']=0\n",
        "    elif 'slope_2' in df.columns:\n",
        "        df['slope_0']=0\n",
        "        df['slope_1']=0\n",
        "    columns = ['age','sex','trestbps','chol','fbs','restecg','thalach','exang','oldpeak','ca', 'cp_0',\t'cp_1',\t'cp_2',\t'cp_3',\t'thal_0','thal_1','thal_2','thal_3','slope_0','slope_1','slope_2']\n",
        "    df = df[columns]\n",
        "    return df\n",
        "\n",
        "def PreprocessData_Liver(liver):\n",
        "    liver['IB'] = liver['TB'] - liver['DB']\n",
        "    liver['sg_ratio'] = liver['Sgot']/liver['Sgpt']\n",
        "    liver['Gender'] = liver['Gender'].astype(int)\n",
        "    a = pd.get_dummies(liver['Gender'], prefix = \"Gender\")\n",
        "    frames = [liver, a]\n",
        "    liver = pd.concat(frames, axis = 1)\n",
        "    liver = liver.drop(columns = ['Gender','TB', 'DB', 'Sgot', 'Sgpt'])\n",
        "    if 'Gender_0' in liver.columns:\n",
        "        liver['Gender_1']=0\n",
        "    elif 'Gender_1' in liver.columns:\n",
        "        liver['Gender_0']=0\n",
        "    columns = ['Age','Alkphos','TP','ALB','A/G','IB','sg_ratio','Gender_0','Gender_1']\n",
        "    liver = liver[columns]\n",
        "    return liver\n",
        "\n",
        "#prediction functions\n",
        "def ValuePredictor_Heart(df):\n",
        "    loaded_model = pickle.load(open(\"model.pkl\", \"rb\"))\n",
        "    result = loaded_model.predict_proba(df)\n",
        "    print(result)\n",
        "    return result\n",
        "\n",
        "def ValuePredictor_Liver(df):\n",
        "    loaded_model = pickle.load(open(\"rclf_81_oversampling.sav\", \"rb\"))\n",
        "    result = loaded_model.predict_proba(df)\n",
        "    return result\n",
        "\n",
        "def ValuePredictor_Diabetes(df):\n",
        "    loaded_model = pickle.load(open(\"diabetes_model.pkl\", \"rb\"))\n",
        "    result = loaded_model.predict_proba(df)\n",
        "    return result\n",
        " \n",
        "#risk calculation function \n",
        "def CalcRisk(heart_proba, liver_proba, diabetes_proba):\n",
        "    heart_weight=21834\n",
        "    liver_weight=10918\n",
        "    diabetes_weight=1194\n",
        "    risk_fac=((heart_proba*heart_weight) + (liver_proba*liver_weight) + (diabetes_proba*diabetes_weight))/(heart_weight + liver_weight + diabetes_weight)\n",
        "    return risk_fac\n",
        "  \n",
        "test_results=merged_df2\n",
        "lista=[]\n",
        "df_heart=test_results[['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs',\t'restecg', 'thalach', 'exang', 'oldpeak', 'slope', 'ca', 'thal']]\n",
        "df_liver=test_results[['Age', 'Gender', 'TB','DB','Alkphos','Sgpt', 'Sgot','TP',\t'ALB', 'A/G']]\n",
        "df_diabetes=test_results[['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age']]\n",
        "heart_proba = HeartCalculation(df_heart)\n",
        "liver_proba = LiverCalculation(df_liver)\n",
        "diabetes_proba = DiabetesCalculation(df_diabetes)\n",
        "print(heart_proba, liver_proba, diabetes_proba)\n",
        "MedRiskFactor = CalcRisk(heart_proba, liver_proba, diabetes_proba)\n",
        "print(MedRiskFactor)\n",
        "lista.append(MedRiskFactor)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "foVxYuetd1LW",
        "outputId": "09f672ba-18e1-4963-8e06-5fa40bf10925"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py:5047: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  errors=errors,\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  import sys\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:9: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  if __name__ == '__main__':\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:10: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  # Remove the CWD from sys.path while we load stuff.\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:11: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  # This is added back by InteractiveShellApp.init_path()\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:12: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  if sys.path[0] == '':\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:13: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  del sys.path[0]\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:14: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:15: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  from ipykernel import kernelapp as app\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "    age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
            "0    63    1   3       145   233    1        0      150      0      2.3   \n",
            "1    37    1   2       130   250    0        1      187      0      3.5   \n",
            "2    56    1   1       120   236    0        1      178      0      0.8   \n",
            "3    52    1   2       172   199    1        1      162      0      0.5   \n",
            "4    54    1   0       140   239    0        1      160      0      1.2   \n",
            "5    49    1   1       130   266    0        1      171      0      0.6   \n",
            "6    64    1   3       110   211    0        0      144      1      1.8   \n",
            "7    69    0   3       140   239    0        1      151      0      1.8   \n",
            "8    42    1   0       140   226    0        1      178      0      0.0   \n",
            "9    61    1   2       150   243    1        1      137      1      1.0   \n",
            "10   51    1   2       110   175    0        1      123      0      0.6   \n",
            "11   65    0   2       140   417    1        0      157      0      0.8   \n",
            "12   53    1   2       130   197    1        0      152      0      1.2   \n",
            "13   45    1   0       104   208    0        0      148      1      3.0   \n",
            "14   39    1   2       140   321    0        0      182      0      0.0   \n",
            "15   47    1   2       138   257    0        0      156      0      0.0   \n",
            "16   62    1   2       130   231    0        1      146      0      1.8   \n",
            "17   34    1   3       118   182    0        0      174      0      0.0   \n",
            "18   68    1   2       118   277    0        1      151      0      1.0   \n",
            "19   70    1   1       156   245    0        0      143      0      0.0   \n",
            "20   38    1   2       138   175    0        1      173      0      0.0   \n",
            "\n",
            "    slope  ca  thal  \n",
            "0       0   0     1  \n",
            "1       0   0     2  \n",
            "2       2   0     2  \n",
            "3       2   0     3  \n",
            "4       2   0     2  \n",
            "5       2   0     2  \n",
            "6       1   0     2  \n",
            "7       2   2     2  \n",
            "8       2   0     2  \n",
            "9       1   0     2  \n",
            "10      2   0     2  \n",
            "11      2   1     2  \n",
            "12      0   0     2  \n",
            "13      1   0     2  \n",
            "14      2   0     2  \n",
            "15      2   0     2  \n",
            "16      1   3     3  \n",
            "17      2   0     2  \n",
            "18      2   1     3  \n",
            "19      2   0     2  \n",
            "20      2   4     2  \n",
            "    age  sex  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  ca  ...  \\\n",
            "0    63    1       145   233    1        0      150      0      2.3   0  ...   \n",
            "1    37    1       130   250    0        1      187      0      3.5   0  ...   \n",
            "2    56    1       120   236    0        1      178      0      0.8   0  ...   \n",
            "3    52    1       172   199    1        1      162      0      0.5   0  ...   \n",
            "4    54    1       140   239    0        1      160      0      1.2   0  ...   \n",
            "5    49    1       130   266    0        1      171      0      0.6   0  ...   \n",
            "6    64    1       110   211    0        0      144      1      1.8   0  ...   \n",
            "7    69    0       140   239    0        1      151      0      1.8   2  ...   \n",
            "8    42    1       140   226    0        1      178      0      0.0   0  ...   \n",
            "9    61    1       150   243    1        1      137      1      1.0   0  ...   \n",
            "10   51    1       110   175    0        1      123      0      0.6   0  ...   \n",
            "11   65    0       140   417    1        0      157      0      0.8   1  ...   \n",
            "12   53    1       130   197    1        0      152      0      1.2   0  ...   \n",
            "13   45    1       104   208    0        0      148      1      3.0   0  ...   \n",
            "14   39    1       140   321    0        0      182      0      0.0   0  ...   \n",
            "15   47    1       138   257    0        0      156      0      0.0   0  ...   \n",
            "16   62    1       130   231    0        1      146      0      1.8   3  ...   \n",
            "17   34    1       118   182    0        0      174      0      0.0   0  ...   \n",
            "18   68    1       118   277    0        1      151      0      1.0   1  ...   \n",
            "19   70    1       156   245    0        0      143      0      0.0   0  ...   \n",
            "20   38    1       138   175    0        1      173      0      0.0   4  ...   \n",
            "\n",
            "    cp_1  cp_2  cp_3  thal_0  thal_1  thal_2  thal_3  slope_0  slope_1  \\\n",
            "0      0     0     0       0       1       0       0        1        0   \n",
            "1      0     0     0       0       0       0       0        1        0   \n",
            "2      0     0     0       0       0       0       0        0        0   \n",
            "3      0     0     0       0       0       0       0        0        0   \n",
            "4      0     0     0       0       0       0       0        0        0   \n",
            "5      0     0     0       0       0       0       0        0        0   \n",
            "6      0     0     0       0       0       0       0        0        0   \n",
            "7      0     0     0       0       0       0       0        0        0   \n",
            "8      0     0     0       0       0       0       0        0        0   \n",
            "9      0     0     0       0       0       0       0        0        0   \n",
            "10     0     0     0       0       0       0       0        0        0   \n",
            "11     0     0     0       0       0       0       0        0        0   \n",
            "12     0     0     0       0       0       0       0        1        0   \n",
            "13     0     0     0       0       0       0       0        0        0   \n",
            "14     0     0     0       0       0       0       0        0        0   \n",
            "15     0     0     0       0       0       0       0        0        0   \n",
            "16     0     0     0       0       0       0       0        0        0   \n",
            "17     0     0     0       0       0       0       0        0        0   \n",
            "18     0     0     0       0       0       0       0        0        0   \n",
            "19     0     0     0       0       0       0       0        0        0   \n",
            "20     0     0     0       0       0       0       0        0        0   \n",
            "\n",
            "    slope_2  \n",
            "0         0  \n",
            "1         0  \n",
            "2         0  \n",
            "3         0  \n",
            "4         0  \n",
            "5         0  \n",
            "6         0  \n",
            "7         0  \n",
            "8         0  \n",
            "9         0  \n",
            "10        0  \n",
            "11        0  \n",
            "12        0  \n",
            "13        0  \n",
            "14        0  \n",
            "15        0  \n",
            "16        0  \n",
            "17        0  \n",
            "18        0  \n",
            "19        0  \n",
            "20        0  \n",
            "\n",
            "[21 rows x 21 columns]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/base.py:451: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names\n",
            "  \"X does not have valid feature names, but\"\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py:5047: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  errors=errors,\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:95: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:96: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:97: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/base.py:338: UserWarning: Trying to unpickle estimator DecisionTreeClassifier from version 0.22.2.post1 when using version 1.0.2. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations\n",
            "  UserWarning,\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[0.43939238 0.56060762]\n",
            " [0.43516328 0.56483672]\n",
            " [0.43431308 0.56568692]\n",
            " [0.43475495 0.56524505]\n",
            " [0.54243311 0.45756689]\n",
            " [0.43431308 0.56568692]\n",
            " [0.5155234  0.4844766 ]\n",
            " [0.51206382 0.48793618]\n",
            " [0.44734516 0.55265484]\n",
            " [0.51652514 0.48347486]\n",
            " [0.43431308 0.56568692]\n",
            " [0.51066335 0.48933665]\n",
            " [0.43621166 0.56378834]\n",
            " [0.63286156 0.36713844]\n",
            " [0.34571211 0.65428789]\n",
            " [0.34571211 0.65428789]\n",
            " [0.57387797 0.42612203]\n",
            " [0.34571211 0.65428789]\n",
            " [0.56344789 0.43655211]\n",
            " [0.34571211 0.65428789]\n",
            " [0.4902276  0.5097724 ]]\n",
            "    Age  Gender    TB   DB  Alkphos  Sgpt  Sgot   TP  ALB   A/G\n",
            "0    63       1   0.9  0.2      194    52    45  6.0  3.9  1.85\n",
            "1    37       1   1.8  0.8      215    53    58  6.4  3.8  1.40\n",
            "2    56       1   1.1  0.5      180    30    42  6.9  3.8  1.20\n",
            "3    52       1   0.9  0.2      156    35    44  4.9  2.9  1.40\n",
            "4    54       1   2.2  1.2      195    55    95  6.0  3.7  1.60\n",
            "5    49       1   0.7  0.1      148    14    12  5.4  2.8  1.00\n",
            "6    64       1   0.9  0.3      310    61    58  7.0  3.4  0.90\n",
            "7    69       0   0.8  0.2      146    42    70  8.4  4.9  1.40\n",
            "8    42       1   6.8  3.2      630    25    47  6.1  2.3  0.60\n",
            "9    61       1   0.7  0.2      145    53    41  5.8  2.7  0.87\n",
            "10   51       1   2.2  1.0      610    17    28  7.3  2.6  0.55\n",
            "11   65       0   0.7  0.1      187    16    18  6.8  3.3  0.90\n",
            "12   53       1   0.9  0.4      238    17    14  6.6  2.9  0.80\n",
            "13   45       1   2.4  1.1      168    33    50  5.1  2.6  1.00\n",
            "14   39       1   3.8  1.5      298   102   630  7.1  3.3  0.80\n",
            "15   47       1   2.7  1.3      275   123    73  6.2  3.3  1.10\n",
            "16   62       1  10.9  5.5      699    64   100  7.5  3.2  0.74\n",
            "17   34       1   4.1  2.0      289   875   731  5.0  2.7  1.10\n",
            "18   68       1   0.7  0.1      145    20    22  5.8  2.9  1.00\n",
            "19   70       1   1.4  0.6      146    12    24  6.2  3.8  1.58\n",
            "20   38       1   1.8  0.8      342   168   441  7.6  4.4  1.30\n",
            "    Age  Alkphos   TP  ALB   A/G   IB  sg_ratio  Gender_0  Gender_1\n",
            "0    63      194  6.0  3.9  1.85  0.7  0.865385         0         0\n",
            "1    37      215  6.4  3.8  1.40  1.0  1.094340         0         0\n",
            "2    56      180  6.9  3.8  1.20  0.6  1.400000         0         0\n",
            "3    52      156  4.9  2.9  1.40  0.7  1.257143         0         0\n",
            "4    54      195  6.0  3.7  1.60  1.0  1.727273         0         0\n",
            "5    49      148  5.4  2.8  1.00  0.6  0.857143         0         0\n",
            "6    64      310  7.0  3.4  0.90  0.6  0.950820         0         0\n",
            "7    69      146  8.4  4.9  1.40  0.6  1.666667         1         0\n",
            "8    42      630  6.1  2.3  0.60  3.6  1.880000         0         0\n",
            "9    61      145  5.8  2.7  0.87  0.5  0.773585         0         0\n",
            "10   51      610  7.3  2.6  0.55  1.2  1.647059         0         0\n",
            "11   65      187  6.8  3.3  0.90  0.6  1.125000         1         0\n",
            "12   53      238  6.6  2.9  0.80  0.5  0.823529         0         0\n",
            "13   45      168  5.1  2.6  1.00  1.3  1.515152         0         0\n",
            "14   39      298  7.1  3.3  0.80  2.3  6.176471         0         0\n",
            "15   47      275  6.2  3.3  1.10  1.4  0.593496         0         0\n",
            "16   62      699  7.5  3.2  0.74  5.4  1.562500         0         0\n",
            "17   34      289  5.0  2.7  1.10  2.1  0.835429         0         0\n",
            "18   68      145  5.8  2.9  1.00  0.6  1.100000         0         0\n",
            "19   70      146  6.2  3.8  1.58  0.8  2.000000         0         0\n",
            "20   38      342  7.6  4.4  1.30  1.0  2.625000         0         0\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/base.py:338: UserWarning: Trying to unpickle estimator RandomForestClassifier from version 0.22.2.post1 when using version 1.0.2. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations\n",
            "  UserWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:32: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:33: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:35: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:36: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "    Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
            "0             0      142             80             15        0  32.4   \n",
            "1             0      133             84              0        0  40.2   \n",
            "2             0      111             72             47      207  37.1   \n",
            "3             0      162            104              0        0  37.7   \n",
            "4             0      125             96              0        0   0.0   \n",
            "5             0      184             85             15        0  30.0   \n",
            "6             0      120             78              0        0  25.0   \n",
            "7             0      132             80              0        0  26.8   \n",
            "8             0      150             66             42      342  34.7   \n",
            "9             0      146             92              0        0  31.2   \n",
            "10            0      166             72             19      175  25.8   \n",
            "11            0      147             78              0        0  33.7   \n",
            "12            0      197             70             45      543  30.5   \n",
            "13            0      122             78             31        0  27.6   \n",
            "14            0      133             72              0        0  32.9   \n",
            "15            0      163             72             41      114  40.9   \n",
            "16            0      105             84              0        0  27.9   \n",
            "17            0      168             74              0        0  38.0   \n",
            "18            0       91             82              0        0  35.6   \n",
            "19            0      145             82             18        0  32.5   \n",
            "20            0      117             92              0        0  34.1   \n",
            "\n",
            "    DiabetesPedigreeFunction  Age  \n",
            "0                      0.200   63  \n",
            "1                      0.696   37  \n",
            "2                      1.390   56  \n",
            "3                      0.151   52  \n",
            "4                      0.232   54  \n",
            "5                      1.213   49  \n",
            "6                      0.409   64  \n",
            "7                      0.186   69  \n",
            "8                      0.718   42  \n",
            "9                      0.539   61  \n",
            "10                     0.587   51  \n",
            "11                     0.218   65  \n",
            "12                     0.158   53  \n",
            "13                     0.512   45  \n",
            "14                     0.270   39  \n",
            "15                     0.817   47  \n",
            "16                     0.741   62  \n",
            "17                     0.537   34  \n",
            "18                     0.587   68  \n",
            "19                     0.235   70  \n",
            "20                     0.337   38  \n",
            "[[0.43939238 0.56060762]\n",
            " [0.43516328 0.56483672]\n",
            " [0.43431308 0.56568692]\n",
            " [0.43475495 0.56524505]\n",
            " [0.54243311 0.45756689]\n",
            " [0.43431308 0.56568692]\n",
            " [0.5155234  0.4844766 ]\n",
            " [0.51206382 0.48793618]\n",
            " [0.44734516 0.55265484]\n",
            " [0.51652514 0.48347486]\n",
            " [0.43431308 0.56568692]\n",
            " [0.51066335 0.48933665]\n",
            " [0.43621166 0.56378834]\n",
            " [0.63286156 0.36713844]\n",
            " [0.34571211 0.65428789]\n",
            " [0.34571211 0.65428789]\n",
            " [0.57387797 0.42612203]\n",
            " [0.34571211 0.65428789]\n",
            " [0.56344789 0.43655211]\n",
            " [0.34571211 0.65428789]\n",
            " [0.4902276  0.5097724 ]] [[0.73550525 0.26449475]\n",
            " [0.27698293 0.72301707]\n",
            " [0.71193224 0.28806776]\n",
            " [0.55106269 0.44893731]\n",
            " [0.30342511 0.69657489]\n",
            " [0.62913479 0.37086521]\n",
            " [0.56459126 0.43540874]\n",
            " [0.55091245 0.44908755]\n",
            " [0.17640137 0.82359863]\n",
            " [0.5014879  0.4985121 ]\n",
            " [0.1183702  0.8816298 ]\n",
            " [0.53329438 0.46670562]\n",
            " [0.34388248 0.65611752]\n",
            " [0.40878983 0.59121017]\n",
            " [0.12731428 0.87268572]\n",
            " [0.13039137 0.86960863]\n",
            " [0.12896422 0.87103578]\n",
            " [0.19514092 0.80485908]\n",
            " [0.52675866 0.47324134]\n",
            " [0.51476653 0.48523347]\n",
            " [0.28066196 0.71933804]] [[0.35253166 0.64746834]\n",
            " [0.35427482 0.64572518]\n",
            " [0.22105355 0.77894645]\n",
            " [0.39101037 0.60898963]\n",
            " [0.58850341 0.41149659]\n",
            " [0.32790022 0.67209978]\n",
            " [0.33549327 0.66450673]\n",
            " [0.38607988 0.61392012]\n",
            " [0.21239485 0.78760515]\n",
            " [0.35347975 0.64652025]\n",
            " [0.2068055  0.7931945 ]\n",
            " [0.34219391 0.65780609]\n",
            " [0.19386821 0.80613179]\n",
            " [0.33076411 0.66923589]\n",
            " [0.33836489 0.66163511]\n",
            " [0.21912522 0.78087478]\n",
            " [0.3546381  0.6453619 ]\n",
            " [0.35347975 0.64652025]\n",
            " [0.35371542 0.64628458]\n",
            " [0.32983316 0.67016684]\n",
            " [0.33434429 0.66565571]]\n",
            "[[0.53157551 0.46842449]\n",
            " [0.38144284 0.61855716]\n",
            " [0.51610222 0.48389778]\n",
            " [0.47062418 0.52937582]\n",
            " [0.46718179 0.53281821]\n",
            " [0.49323037 0.50676963]\n",
            " [0.52497273 0.47502727]\n",
            " [0.52012735 0.47987265]\n",
            " [0.3519379  0.6480621 ]\n",
            " [0.50595386 0.49404614]\n",
            " [0.32469461 0.67530539]\n",
            " [0.51201647 0.48798353]\n",
            " [0.3979919  0.6020081 ]\n",
            " [0.55016789 0.44983211]\n",
            " [0.27521072 0.72478928]\n",
            " [0.27200632 0.72799368]\n",
            " [0.4230696  0.5769304 ]\n",
            " [0.29755734 0.70244266]\n",
            " [0.54427056 0.45572944]\n",
            " [0.3995263  0.6004737 ]\n",
            " [0.41734236 0.58265764]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "lista"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mU6aB04Ff9Qn",
        "outputId": "2adf0736-6dc5-4a94-d25f-4ac29e392b0c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[array([[0.53157551, 0.46842449],\n",
              "        [0.38144284, 0.61855716],\n",
              "        [0.51610222, 0.48389778],\n",
              "        [0.47062418, 0.52937582],\n",
              "        [0.46718179, 0.53281821],\n",
              "        [0.49323037, 0.50676963],\n",
              "        [0.52497273, 0.47502727],\n",
              "        [0.52012735, 0.47987265],\n",
              "        [0.3519379 , 0.6480621 ],\n",
              "        [0.50595386, 0.49404614],\n",
              "        [0.32469461, 0.67530539],\n",
              "        [0.51201647, 0.48798353],\n",
              "        [0.3979919 , 0.6020081 ],\n",
              "        [0.55016789, 0.44983211],\n",
              "        [0.27521072, 0.72478928],\n",
              "        [0.27200632, 0.72799368],\n",
              "        [0.4230696 , 0.5769304 ],\n",
              "        [0.29755734, 0.70244266],\n",
              "        [0.54427056, 0.45572944],\n",
              "        [0.3995263 , 0.6004737 ],\n",
              "        [0.41734236, 0.58265764]])]"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "list2=[]\n",
        "for i in lista:\n",
        "  for j in i:\n",
        "    list2.append(j[1])\n",
        "list2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UcNwQe9tg6YB",
        "outputId": "a6ec1ac0-f3a0-41a1-af1a-976a74cc6377"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.46842448519326796,\n",
              " 0.6185571577917904,\n",
              " 0.48389778124481303,\n",
              " 0.5293758177512639,\n",
              " 0.5328182142177507,\n",
              " 0.5067696253131739,\n",
              " 0.47502726904655873,\n",
              " 0.4798726526145646,\n",
              " 0.6480621027404284,\n",
              " 0.49404614073550085,\n",
              " 0.6753053874918262,\n",
              " 0.48798352835524134,\n",
              " 0.6020081026451524,\n",
              " 0.44983211466673706,\n",
              " 0.724789280535912,\n",
              " 0.7279936776448845,\n",
              " 0.5769303961322236,\n",
              " 0.7024426594358114,\n",
              " 0.4557294391772544,\n",
              " 0.6004736964260914,\n",
              " 0.5826576419445058]"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "merged_df2[\"Risk\"]=list2"
      ],
      "metadata": {
        "id": "yTS-1UOvixbC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "merged_df2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 801
        },
        "id": "5p80-OjRjaPi",
        "outputId": "60f8c894-3742-4a15-bdf9-404b63c789e0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  ...  \\\n",
              "0    63    1   3       145   233    1        0      150      0      2.3  ...   \n",
              "1    37    1   2       130   250    0        1      187      0      3.5  ...   \n",
              "2    56    1   1       120   236    0        1      178      0      0.8  ...   \n",
              "3    52    1   2       172   199    1        1      162      0      0.5  ...   \n",
              "4    54    1   0       140   239    0        1      160      0      1.2  ...   \n",
              "5    49    1   1       130   266    0        1      171      0      0.6  ...   \n",
              "6    64    1   3       110   211    0        0      144      1      1.8  ...   \n",
              "7    69    0   3       140   239    0        1      151      0      1.8  ...   \n",
              "8    42    1   0       140   226    0        1      178      0      0.0  ...   \n",
              "9    61    1   2       150   243    1        1      137      1      1.0  ...   \n",
              "10   51    1   2       110   175    0        1      123      0      0.6  ...   \n",
              "11   65    0   2       140   417    1        0      157      0      0.8  ...   \n",
              "12   53    1   2       130   197    1        0      152      0      1.2  ...   \n",
              "13   45    1   0       104   208    0        0      148      1      3.0  ...   \n",
              "14   39    1   2       140   321    0        0      182      0      0.0  ...   \n",
              "15   47    1   2       138   257    0        0      156      0      0.0  ...   \n",
              "16   62    1   2       130   231    0        1      146      0      1.8  ...   \n",
              "17   34    1   3       118   182    0        0      174      0      0.0  ...   \n",
              "18   68    1   2       118   277    0        1      151      0      1.0  ...   \n",
              "19   70    1   1       156   245    0        0      143      0      0.0  ...   \n",
              "20   38    1   2       138   175    0        1      173      0      0.0  ...   \n",
              "\n",
              "    ALB   A/G  Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin  \\\n",
              "0   3.9  1.85            0      142             80             15        0   \n",
              "1   3.8  1.40            0      133             84              0        0   \n",
              "2   3.8  1.20            0      111             72             47      207   \n",
              "3   2.9  1.40            0      162            104              0        0   \n",
              "4   3.7  1.60            0      125             96              0        0   \n",
              "5   2.8  1.00            0      184             85             15        0   \n",
              "6   3.4  0.90            0      120             78              0        0   \n",
              "7   4.9  1.40            0      132             80              0        0   \n",
              "8   2.3  0.60            0      150             66             42      342   \n",
              "9   2.7  0.87            0      146             92              0        0   \n",
              "10  2.6  0.55            0      166             72             19      175   \n",
              "11  3.3  0.90            0      147             78              0        0   \n",
              "12  2.9  0.80            0      197             70             45      543   \n",
              "13  2.6  1.00            0      122             78             31        0   \n",
              "14  3.3  0.80            0      133             72              0        0   \n",
              "15  3.3  1.10            0      163             72             41      114   \n",
              "16  3.2  0.74            0      105             84              0        0   \n",
              "17  2.7  1.10            0      168             74              0        0   \n",
              "18  2.9  1.00            0       91             82              0        0   \n",
              "19  3.8  1.58            0      145             82             18        0   \n",
              "20  4.4  1.30            0      117             92              0        0   \n",
              "\n",
              "     BMI  DiabetesPedigreeFunction      Risk  \n",
              "0   32.4                     0.200  0.468424  \n",
              "1   40.2                     0.696  0.618557  \n",
              "2   37.1                     1.390  0.483898  \n",
              "3   37.7                     0.151  0.529376  \n",
              "4    0.0                     0.232  0.532818  \n",
              "5   30.0                     1.213  0.506770  \n",
              "6   25.0                     0.409  0.475027  \n",
              "7   26.8                     0.186  0.479873  \n",
              "8   34.7                     0.718  0.648062  \n",
              "9   31.2                     0.539  0.494046  \n",
              "10  25.8                     0.587  0.675305  \n",
              "11  33.7                     0.218  0.487984  \n",
              "12  30.5                     0.158  0.602008  \n",
              "13  27.6                     0.512  0.449832  \n",
              "14  32.9                     0.270  0.724789  \n",
              "15  40.9                     0.817  0.727994  \n",
              "16  27.9                     0.741  0.576930  \n",
              "17  38.0                     0.537  0.702443  \n",
              "18  35.6                     0.587  0.455729  \n",
              "19  32.5                     0.235  0.600474  \n",
              "20  34.1                     0.337  0.582658  \n",
              "\n",
              "[21 rows x 31 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-366b3025-6ddd-4476-a9c6-d37d783c2bae\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>age</th>\n",
              "      <th>sex</th>\n",
              "      <th>cp</th>\n",
              "      <th>trestbps</th>\n",
              "      <th>chol</th>\n",
              "      <th>fbs</th>\n",
              "      <th>restecg</th>\n",
              "      <th>thalach</th>\n",
              "      <th>exang</th>\n",
              "      <th>oldpeak</th>\n",
              "      <th>...</th>\n",
              "      <th>ALB</th>\n",
              "      <th>A/G</th>\n",
              "      <th>Pregnancies</th>\n",
              "      <th>Glucose</th>\n",
              "      <th>BloodPressure</th>\n",
              "      <th>SkinThickness</th>\n",
              "      <th>Insulin</th>\n",
              "      <th>BMI</th>\n",
              "      <th>DiabetesPedigreeFunction</th>\n",
              "      <th>Risk</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>63</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>145</td>\n",
              "      <td>233</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>150</td>\n",
              "      <td>0</td>\n",
              "      <td>2.3</td>\n",
              "      <td>...</td>\n",
              "      <td>3.9</td>\n",
              "      <td>1.85</td>\n",
              "      <td>0</td>\n",
              "      <td>142</td>\n",
              "      <td>80</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>32.4</td>\n",
              "      <td>0.200</td>\n",
              "      <td>0.468424</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>37</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>250</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>187</td>\n",
              "      <td>0</td>\n",
              "      <td>3.5</td>\n",
              "      <td>...</td>\n",
              "      <td>3.8</td>\n",
              "      <td>1.40</td>\n",
              "      <td>0</td>\n",
              "      <td>133</td>\n",
              "      <td>84</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>40.2</td>\n",
              "      <td>0.696</td>\n",
              "      <td>0.618557</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>56</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>120</td>\n",
              "      <td>236</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>178</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>...</td>\n",
              "      <td>3.8</td>\n",
              "      <td>1.20</td>\n",
              "      <td>0</td>\n",
              "      <td>111</td>\n",
              "      <td>72</td>\n",
              "      <td>47</td>\n",
              "      <td>207</td>\n",
              "      <td>37.1</td>\n",
              "      <td>1.390</td>\n",
              "      <td>0.483898</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>52</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>172</td>\n",
              "      <td>199</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>162</td>\n",
              "      <td>0</td>\n",
              "      <td>0.5</td>\n",
              "      <td>...</td>\n",
              "      <td>2.9</td>\n",
              "      <td>1.40</td>\n",
              "      <td>0</td>\n",
              "      <td>162</td>\n",
              "      <td>104</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>37.7</td>\n",
              "      <td>0.151</td>\n",
              "      <td>0.529376</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>54</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>140</td>\n",
              "      <td>239</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>160</td>\n",
              "      <td>0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>...</td>\n",
              "      <td>3.7</td>\n",
              "      <td>1.60</td>\n",
              "      <td>0</td>\n",
              "      <td>125</td>\n",
              "      <td>96</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.232</td>\n",
              "      <td>0.532818</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>49</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>130</td>\n",
              "      <td>266</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>171</td>\n",
              "      <td>0</td>\n",
              "      <td>0.6</td>\n",
              "      <td>...</td>\n",
              "      <td>2.8</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0</td>\n",
              "      <td>184</td>\n",
              "      <td>85</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.213</td>\n",
              "      <td>0.506770</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>64</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>110</td>\n",
              "      <td>211</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>144</td>\n",
              "      <td>1</td>\n",
              "      <td>1.8</td>\n",
              "      <td>...</td>\n",
              "      <td>3.4</td>\n",
              "      <td>0.90</td>\n",
              "      <td>0</td>\n",
              "      <td>120</td>\n",
              "      <td>78</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.409</td>\n",
              "      <td>0.475027</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>69</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>140</td>\n",
              "      <td>239</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>151</td>\n",
              "      <td>0</td>\n",
              "      <td>1.8</td>\n",
              "      <td>...</td>\n",
              "      <td>4.9</td>\n",
              "      <td>1.40</td>\n",
              "      <td>0</td>\n",
              "      <td>132</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>26.8</td>\n",
              "      <td>0.186</td>\n",
              "      <td>0.479873</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>42</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>140</td>\n",
              "      <td>226</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>178</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0.60</td>\n",
              "      <td>0</td>\n",
              "      <td>150</td>\n",
              "      <td>66</td>\n",
              "      <td>42</td>\n",
              "      <td>342</td>\n",
              "      <td>34.7</td>\n",
              "      <td>0.718</td>\n",
              "      <td>0.648062</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>61</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>150</td>\n",
              "      <td>243</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>137</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.7</td>\n",
              "      <td>0.87</td>\n",
              "      <td>0</td>\n",
              "      <td>146</td>\n",
              "      <td>92</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>31.2</td>\n",
              "      <td>0.539</td>\n",
              "      <td>0.494046</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>51</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>110</td>\n",
              "      <td>175</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>123</td>\n",
              "      <td>0</td>\n",
              "      <td>0.6</td>\n",
              "      <td>...</td>\n",
              "      <td>2.6</td>\n",
              "      <td>0.55</td>\n",
              "      <td>0</td>\n",
              "      <td>166</td>\n",
              "      <td>72</td>\n",
              "      <td>19</td>\n",
              "      <td>175</td>\n",
              "      <td>25.8</td>\n",
              "      <td>0.587</td>\n",
              "      <td>0.675305</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>65</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>140</td>\n",
              "      <td>417</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>157</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>...</td>\n",
              "      <td>3.3</td>\n",
              "      <td>0.90</td>\n",
              "      <td>0</td>\n",
              "      <td>147</td>\n",
              "      <td>78</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>33.7</td>\n",
              "      <td>0.218</td>\n",
              "      <td>0.487984</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>53</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>197</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>152</td>\n",
              "      <td>0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>...</td>\n",
              "      <td>2.9</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0</td>\n",
              "      <td>197</td>\n",
              "      <td>70</td>\n",
              "      <td>45</td>\n",
              "      <td>543</td>\n",
              "      <td>30.5</td>\n",
              "      <td>0.158</td>\n",
              "      <td>0.602008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>104</td>\n",
              "      <td>208</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>148</td>\n",
              "      <td>1</td>\n",
              "      <td>3.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.6</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0</td>\n",
              "      <td>122</td>\n",
              "      <td>78</td>\n",
              "      <td>31</td>\n",
              "      <td>0</td>\n",
              "      <td>27.6</td>\n",
              "      <td>0.512</td>\n",
              "      <td>0.449832</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>140</td>\n",
              "      <td>321</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.3</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0</td>\n",
              "      <td>133</td>\n",
              "      <td>72</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>32.9</td>\n",
              "      <td>0.270</td>\n",
              "      <td>0.724789</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>47</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>138</td>\n",
              "      <td>257</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>156</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.3</td>\n",
              "      <td>1.10</td>\n",
              "      <td>0</td>\n",
              "      <td>163</td>\n",
              "      <td>72</td>\n",
              "      <td>41</td>\n",
              "      <td>114</td>\n",
              "      <td>40.9</td>\n",
              "      <td>0.817</td>\n",
              "      <td>0.727994</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>62</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>130</td>\n",
              "      <td>231</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>146</td>\n",
              "      <td>0</td>\n",
              "      <td>1.8</td>\n",
              "      <td>...</td>\n",
              "      <td>3.2</td>\n",
              "      <td>0.74</td>\n",
              "      <td>0</td>\n",
              "      <td>105</td>\n",
              "      <td>84</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>27.9</td>\n",
              "      <td>0.741</td>\n",
              "      <td>0.576930</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>34</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>118</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>174</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.7</td>\n",
              "      <td>1.10</td>\n",
              "      <td>0</td>\n",
              "      <td>168</td>\n",
              "      <td>74</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>38.0</td>\n",
              "      <td>0.537</td>\n",
              "      <td>0.702443</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>68</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>118</td>\n",
              "      <td>277</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>151</td>\n",
              "      <td>0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2.9</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0</td>\n",
              "      <td>91</td>\n",
              "      <td>82</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>35.6</td>\n",
              "      <td>0.587</td>\n",
              "      <td>0.455729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>156</td>\n",
              "      <td>245</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>143</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.8</td>\n",
              "      <td>1.58</td>\n",
              "      <td>0</td>\n",
              "      <td>145</td>\n",
              "      <td>82</td>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>32.5</td>\n",
              "      <td>0.235</td>\n",
              "      <td>0.600474</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>38</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>138</td>\n",
              "      <td>175</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>173</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1.30</td>\n",
              "      <td>0</td>\n",
              "      <td>117</td>\n",
              "      <td>92</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>34.1</td>\n",
              "      <td>0.337</td>\n",
              "      <td>0.582658</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>21 rows × 31 columns</p>\n",
              "</div>\n",
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              "  "
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          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "merged_df2.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "dW0mCPmtjbgH",
        "outputId": "709ed12d-19f3-4dae-fc7c-ee58ded24755"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             age        sex         cp    trestbps        chol        fbs  \\\n",
              "count  21.000000  21.000000  21.000000   21.000000   21.000000  21.000000   \n",
              "mean   53.285714   0.904762   1.761905  133.285714  239.380952   0.238095   \n",
              "std    11.332003   0.300793   0.943650   16.325265   53.806576   0.436436   \n",
              "min    34.000000   0.000000   0.000000  104.000000  175.000000   0.000000   \n",
              "25%    45.000000   1.000000   1.000000  120.000000  208.000000   0.000000   \n",
              "50%    53.000000   1.000000   2.000000  138.000000  236.000000   0.000000   \n",
              "75%    63.000000   1.000000   2.000000  140.000000  250.000000   0.000000   \n",
              "max    70.000000   1.000000   3.000000  172.000000  417.000000   1.000000   \n",
              "\n",
              "         restecg     thalach      exang    oldpeak  ...        ALB        A/G  \\\n",
              "count  21.000000   21.000000  21.000000  21.000000  ...  21.000000  21.000000   \n",
              "mean    0.571429  158.238095   0.142857   1.042857  ...   3.295238   1.099524   \n",
              "std     0.507093   16.461788   0.358569   1.013692  ...   0.651518   0.345535   \n",
              "min     0.000000  123.000000   0.000000   0.000000  ...   2.300000   0.550000   \n",
              "25%     0.000000  148.000000   0.000000   0.000000  ...   2.800000   0.870000   \n",
              "50%     1.000000  156.000000   0.000000   0.800000  ...   3.300000   1.000000   \n",
              "75%     1.000000  173.000000   0.000000   1.800000  ...   3.800000   1.400000   \n",
              "max     1.000000  187.000000   1.000000   3.500000  ...   4.900000   1.850000   \n",
              "\n",
              "       Pregnancies     Glucose  BloodPressure  SkinThickness     Insulin  \\\n",
              "count         21.0   21.000000      21.000000      21.000000   21.000000   \n",
              "mean           0.0  140.904762      80.619048      13.000000   65.761905   \n",
              "std            0.0   26.421402       9.425901      17.643696  142.735036   \n",
              "min            0.0   91.000000      66.000000       0.000000    0.000000   \n",
              "25%            0.0  122.000000      72.000000       0.000000    0.000000   \n",
              "50%            0.0  142.000000      80.000000       0.000000    0.000000   \n",
              "75%            0.0  162.000000      84.000000      19.000000    0.000000   \n",
              "max            0.0  197.000000     104.000000      47.000000  543.000000   \n",
              "\n",
              "             BMI  DiabetesPedigreeFunction       Risk  \n",
              "count  21.000000                 21.000000  21.000000  \n",
              "mean   31.171429                  0.511095   0.563000  \n",
              "std     8.475974                  0.338914   0.091933  \n",
              "min     0.000000                  0.151000   0.449832  \n",
              "25%    27.900000                  0.232000   0.483898  \n",
              "50%    32.500000                  0.512000   0.532818  \n",
              "75%    35.600000                  0.696000   0.618557  \n",
              "max    40.900000                  1.390000   0.727994  \n",
              "\n",
              "[8 rows x 31 columns]"
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              "      <th>age</th>\n",
              "      <th>sex</th>\n",
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              "      <th>fbs</th>\n",
              "      <th>restecg</th>\n",
              "      <th>thalach</th>\n",
              "      <th>exang</th>\n",
              "      <th>oldpeak</th>\n",
              "      <th>...</th>\n",
              "      <th>ALB</th>\n",
              "      <th>A/G</th>\n",
              "      <th>Pregnancies</th>\n",
              "      <th>Glucose</th>\n",
              "      <th>BloodPressure</th>\n",
              "      <th>SkinThickness</th>\n",
              "      <th>Insulin</th>\n",
              "      <th>BMI</th>\n",
              "      <th>DiabetesPedigreeFunction</th>\n",
              "      <th>Risk</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.0</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>21.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>53.285714</td>\n",
              "      <td>0.904762</td>\n",
              "      <td>1.761905</td>\n",
              "      <td>133.285714</td>\n",
              "      <td>239.380952</td>\n",
              "      <td>0.238095</td>\n",
              "      <td>0.571429</td>\n",
              "      <td>158.238095</td>\n",
              "      <td>0.142857</td>\n",
              "      <td>1.042857</td>\n",
              "      <td>...</td>\n",
              "      <td>3.295238</td>\n",
              "      <td>1.099524</td>\n",
              "      <td>0.0</td>\n",
              "      <td>140.904762</td>\n",
              "      <td>80.619048</td>\n",
              "      <td>13.000000</td>\n",
              "      <td>65.761905</td>\n",
              "      <td>31.171429</td>\n",
              "      <td>0.511095</td>\n",
              "      <td>0.563000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>11.332003</td>\n",
              "      <td>0.300793</td>\n",
              "      <td>0.943650</td>\n",
              "      <td>16.325265</td>\n",
              "      <td>53.806576</td>\n",
              "      <td>0.436436</td>\n",
              "      <td>0.507093</td>\n",
              "      <td>16.461788</td>\n",
              "      <td>0.358569</td>\n",
              "      <td>1.013692</td>\n",
              "      <td>...</td>\n",
              "      <td>0.651518</td>\n",
              "      <td>0.345535</td>\n",
              "      <td>0.0</td>\n",
              "      <td>26.421402</td>\n",
              "      <td>9.425901</td>\n",
              "      <td>17.643696</td>\n",
              "      <td>142.735036</td>\n",
              "      <td>8.475974</td>\n",
              "      <td>0.338914</td>\n",
              "      <td>0.091933</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>34.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>104.000000</td>\n",
              "      <td>175.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>123.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>2.300000</td>\n",
              "      <td>0.550000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>91.000000</td>\n",
              "      <td>66.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.151000</td>\n",
              "      <td>0.449832</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>45.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>120.000000</td>\n",
              "      <td>208.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>148.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>2.800000</td>\n",
              "      <td>0.870000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>122.000000</td>\n",
              "      <td>72.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>27.900000</td>\n",
              "      <td>0.232000</td>\n",
              "      <td>0.483898</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>53.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>138.000000</td>\n",
              "      <td>236.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>156.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.800000</td>\n",
              "      <td>...</td>\n",
              "      <td>3.300000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>142.000000</td>\n",
              "      <td>80.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>32.500000</td>\n",
              "      <td>0.512000</td>\n",
              "      <td>0.532818</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>63.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>140.000000</td>\n",
              "      <td>250.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>173.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.800000</td>\n",
              "      <td>...</td>\n",
              "      <td>3.800000</td>\n",
              "      <td>1.400000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>162.000000</td>\n",
              "      <td>84.000000</td>\n",
              "      <td>19.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>35.600000</td>\n",
              "      <td>0.696000</td>\n",
              "      <td>0.618557</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>70.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>172.000000</td>\n",
              "      <td>417.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>187.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>...</td>\n",
              "      <td>4.900000</td>\n",
              "      <td>1.850000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>197.000000</td>\n",
              "      <td>104.000000</td>\n",
              "      <td>47.000000</td>\n",
              "      <td>543.000000</td>\n",
              "      <td>40.900000</td>\n",
              "      <td>1.390000</td>\n",
              "      <td>0.727994</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 31 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-69f9865c-d2d0-48e6-b43c-1dc1e2b58489')\"\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 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
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              "\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",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      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",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-69f9865c-d2d0-48e6-b43c-1dc1e2b58489 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-69f9865c-d2d0-48e6-b43c-1dc1e2b58489');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "OKhAVIcrlhJl"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}