GNN1.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","mount_file_id":"1UK8gE1bmgKl8WhZkBqwuzSNm2t6PDBfd","authorship_tag":"ABX9TyP95okLI3qqEXRgGAoQxsHk"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"id":"Ch_JhNmoxgna","executionInfo":{"status":"ok","timestamp":1703144546616,"user_tz":-420,"elapsed":5364,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"outputs":[],"source":["\n","from sklearn.model_selection import *\n","from sklearn.ensemble import *\n","from sklearn.metrics import *\n","import sklearn\n","import warnings\n","import pandas as pd\n","import numpy as np\n","from sklearn.preprocessing import LabelEncoder\n","warnings.simplefilter(\"ignore\")\n","import os\n","import networkx as nx\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import tensorflow as tf\n","from tensorflow import keras\n","from tensorflow.keras import layers\n"]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"z9nm7iAuJMZe","executionInfo":{"status":"ok","timestamp":1703144557741,"user_tz":-420,"elapsed":11127,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"94a66ca5-6da3-4f64-a37f-1657111cdc3f"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"]}]},{"cell_type":"markdown","source":["# EDA"],"metadata":{"id":"Qp5NZ-BWxuxs"}},{"cell_type":"code","source":["\n","data = pd.read_csv('/content/drive/MyDrive/GNN/disease/dataset.csv')\n","data.head(10)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":557},"id":"vtk6dqnSxqom","executionInfo":{"status":"ok","timestamp":1703147028583,"user_tz":-420,"elapsed":408,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"db7b7f30-03c0-4eeb-eb14-143fa7cc135a"},"execution_count":86,"outputs":[{"output_type":"execute_result","data":{"text/plain":["            Disease   Symptom_1              Symptom_2              Symptom_3  \\\n","0  Fungal infection     itching              skin_rash   nodal_skin_eruptions   \n","1  Fungal infection   skin_rash   nodal_skin_eruptions    dischromic _patches   \n","2  Fungal infection     itching   nodal_skin_eruptions    dischromic _patches   \n","3  Fungal infection     itching              skin_rash    dischromic _patches   \n","4  Fungal infection     itching              skin_rash   nodal_skin_eruptions   \n","5  Fungal infection   skin_rash   nodal_skin_eruptions    dischromic _patches   \n","6  Fungal infection     itching   nodal_skin_eruptions    dischromic _patches   \n","7  Fungal infection     itching              skin_rash    dischromic _patches   \n","8  Fungal infection     itching              skin_rash   nodal_skin_eruptions   \n","9  Fungal infection     itching              skin_rash   nodal_skin_eruptions   \n","\n","              Symptom_4 Symptom_5 Symptom_6 Symptom_7 Symptom_8 Symptom_9  \\\n","0   dischromic _patches       NaN       NaN       NaN       NaN       NaN   \n","1                   NaN       NaN       NaN       NaN       NaN       NaN   \n","2                   NaN       NaN       NaN       NaN       NaN       NaN   \n","3                   NaN       NaN       NaN       NaN       NaN       NaN   \n","4                   NaN       NaN       NaN       NaN       NaN       NaN   \n","5                   NaN       NaN       NaN       NaN       NaN       NaN   \n","6                   NaN       NaN       NaN       NaN       NaN       NaN   \n","7                   NaN       NaN       NaN       NaN       NaN       NaN   \n","8                   NaN       NaN       NaN       NaN       NaN       NaN   \n","9   dischromic _patches       NaN       NaN       NaN       NaN       NaN   \n","\n","  Symptom_10 Symptom_11 Symptom_12 Symptom_13 Symptom_14 Symptom_15  \\\n","0        NaN        NaN        NaN        NaN        NaN        NaN   \n","1        NaN        NaN        NaN        NaN        NaN        NaN   \n","2        NaN        NaN        NaN        NaN        NaN        NaN   \n","3        NaN        NaN        NaN        NaN        NaN        NaN   \n","4        NaN        NaN        NaN        NaN        NaN        NaN   \n","5        NaN        NaN        NaN        NaN        NaN        NaN   \n","6        NaN        NaN        NaN        NaN        NaN        NaN   \n","7        NaN        NaN        NaN        NaN        NaN        NaN   \n","8        NaN        NaN        NaN        NaN        NaN        NaN   \n","9        NaN        NaN        NaN        NaN        NaN        NaN   \n","\n","  Symptom_16 Symptom_17  \n","0        NaN        NaN  \n","1        NaN        NaN  \n","2        NaN        NaN  \n","3        NaN        NaN  \n","4        NaN        NaN  \n","5        NaN        NaN  \n","6        NaN        NaN  \n","7        NaN        NaN  \n","8        NaN        NaN  \n","9        NaN        NaN  "],"text/html":["\n","  <div id=\"df-42cce381-351a-432f-abb9-87133bdce39b\" 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>Disease</th>\n","      <th>Symptom_1</th>\n","      <th>Symptom_2</th>\n","      <th>Symptom_3</th>\n","      <th>Symptom_4</th>\n","      <th>Symptom_5</th>\n","      <th>Symptom_6</th>\n","      <th>Symptom_7</th>\n","      <th>Symptom_8</th>\n","      <th>Symptom_9</th>\n","      <th>Symptom_10</th>\n","      <th>Symptom_11</th>\n","      <th>Symptom_12</th>\n","      <th>Symptom_13</th>\n","      <th>Symptom_14</th>\n","      <th>Symptom_15</th>\n","      <th>Symptom_16</th>\n","      <th>Symptom_17</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Fungal infection</td>\n","      <td>itching</td>\n","      <td>skin_rash</td>\n","      <td>nodal_skin_eruptions</td>\n","      <td>dischromic _patches</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Fungal infection</td>\n","      <td>skin_rash</td>\n","      <td>nodal_skin_eruptions</td>\n","      <td>dischromic _patches</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Fungal infection</td>\n","      <td>itching</td>\n","      <td>nodal_skin_eruptions</td>\n","      <td>dischromic _patches</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Fungal infection</td>\n","      <td>itching</td>\n","      <td>skin_rash</td>\n","      <td>dischromic _patches</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Fungal infection</td>\n","      <td>itching</td>\n","      <td>skin_rash</td>\n","      <td>nodal_skin_eruptions</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Fungal infection</td>\n","      <td>skin_rash</td>\n","      <td>nodal_skin_eruptions</td>\n","      <td>dischromic _patches</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Fungal infection</td>\n","      <td>itching</td>\n","      <td>nodal_skin_eruptions</td>\n","      <td>dischromic _patches</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Fungal infection</td>\n","      <td>itching</td>\n","      <td>skin_rash</td>\n","      <td>dischromic _patches</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>Fungal infection</td>\n","      <td>itching</td>\n","      <td>skin_rash</td>\n","      <td>nodal_skin_eruptions</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>Fungal infection</td>\n","      <td>itching</td>\n","      <td>skin_rash</td>\n","      <td>nodal_skin_eruptions</td>\n","      <td>dischromic _patches</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-42cce381-351a-432f-abb9-87133bdce39b')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-42cce381-351a-432f-abb9-87133bdce39b 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-42cce381-351a-432f-abb9-87133bdce39b');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-2510cfb7-eb41-41d8-b115-3e346fe26ebc\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2510cfb7-eb41-41d8-b115-3e346fe26ebc')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-2510cfb7-eb41-41d8-b115-3e346fe26ebc button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":86}]},{"cell_type":"code","source":["data.Disease.value_counts()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Q2KhNbTTx07V","executionInfo":{"status":"ok","timestamp":1703147029709,"user_tz":-420,"elapsed":2,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"7aae3419-49b7-4cf1-d351-2b11de83998f"},"execution_count":87,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Fungal infection                           120\n","Hepatitis C                                120\n","Hepatitis E                                120\n","Alcoholic hepatitis                        120\n","Tuberculosis                               120\n","Common Cold                                120\n","Pneumonia                                  120\n","Dimorphic hemmorhoids(piles)               120\n","Heart attack                               120\n","Varicose veins                             120\n","Hypothyroidism                             120\n","Hyperthyroidism                            120\n","Hypoglycemia                               120\n","Osteoarthristis                            120\n","Arthritis                                  120\n","(vertigo) Paroymsal  Positional Vertigo    120\n","Acne                                       120\n","Urinary tract infection                    120\n","Psoriasis                                  120\n","Hepatitis D                                120\n","Hepatitis B                                120\n","Allergy                                    120\n","hepatitis A                                120\n","GERD                                       120\n","Chronic cholestasis                        120\n","Drug Reaction                              120\n","Peptic ulcer diseae                        120\n","AIDS                                       120\n","Diabetes                                   120\n","Gastroenteritis                            120\n","Bronchial Asthma                           120\n","Hypertension                               120\n","Migraine                                   120\n","Cervical spondylosis                       120\n","Paralysis (brain hemorrhage)               120\n","Jaundice                                   120\n","Malaria                                    120\n","Chicken pox                                120\n","Dengue                                     120\n","Typhoid                                    120\n","Impetigo                                   120\n","Name: Disease, dtype: int64"]},"metadata":{},"execution_count":87}]},{"cell_type":"code","source":["data.shape\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"KYV_1dTsyQtp","executionInfo":{"status":"ok","timestamp":1703147031109,"user_tz":-420,"elapsed":2,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"9a685b38-814c-4ccd-aa78-eacb99f9b42e"},"execution_count":88,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(4920, 18)"]},"metadata":{},"execution_count":88}]},{"cell_type":"code","source":["data.groupby('Disease').Symptom_1.count()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"hW1VQzh4yUIN","executionInfo":{"status":"ok","timestamp":1703147031491,"user_tz":-420,"elapsed":2,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"58eafc2a-ebfc-4539-c375-251ebce63800"},"execution_count":89,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Disease\n","(vertigo) Paroymsal  Positional Vertigo    120\n","AIDS                                       120\n","Acne                                       120\n","Alcoholic hepatitis                        120\n","Allergy                                    120\n","Arthritis                                  120\n","Bronchial Asthma                           120\n","Cervical spondylosis                       120\n","Chicken pox                                120\n","Chronic cholestasis                        120\n","Common Cold                                120\n","Dengue                                     120\n","Diabetes                                   120\n","Dimorphic hemmorhoids(piles)               120\n","Drug Reaction                              120\n","Fungal infection                           120\n","GERD                                       120\n","Gastroenteritis                            120\n","Heart attack                               120\n","Hepatitis B                                120\n","Hepatitis C                                120\n","Hepatitis D                                120\n","Hepatitis E                                120\n","Hypertension                               120\n","Hyperthyroidism                            120\n","Hypoglycemia                               120\n","Hypothyroidism                             120\n","Impetigo                                   120\n","Jaundice                                   120\n","Malaria                                    120\n","Migraine                                   120\n","Osteoarthristis                            120\n","Paralysis (brain hemorrhage)               120\n","Peptic ulcer diseae                        120\n","Pneumonia                                  120\n","Psoriasis                                  120\n","Tuberculosis                               120\n","Typhoid                                    120\n","Urinary tract infection                    120\n","Varicose veins                             120\n","hepatitis A                                120\n","Name: Symptom_1, dtype: int64"]},"metadata":{},"execution_count":89}]},{"cell_type":"code","source":["data.Disease.nunique()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"qmCy2NuKyWat","executionInfo":{"status":"ok","timestamp":1703147032378,"user_tz":-420,"elapsed":6,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"2b8c75d7-5c98-4be8-f7f8-ac73b3be5899"},"execution_count":90,"outputs":[{"output_type":"execute_result","data":{"text/plain":["41"]},"metadata":{},"execution_count":90}]},{"cell_type":"code","source":["data.fillna(0, inplace = True)\n"],"metadata":{"id":"0SPbYZ7pybtu","executionInfo":{"status":"ok","timestamp":1703147033576,"user_tz":-420,"elapsed":4,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":91,"outputs":[]},{"cell_type":"code","source":["train, test = train_test_split(data, test_size = 0.2, random_state = 1)\n","train"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":496},"id":"VRqN5eazyrrb","executionInfo":{"status":"ok","timestamp":1703147033576,"user_tz":-420,"elapsed":4,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"8d58fe6d-6c05-4128-864b-8890b93276ac"},"execution_count":92,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                  Disease    Symptom_1      Symptom_2              Symptom_3  \\\n","4444          Chicken pox      itching      skin_rash                fatigue   \n","45          Drug Reaction    skin_rash   stomach_pain    burning_micturition   \n","3393       Hypothyroidism      fatigue    weight_gain   cold_hands_and_feets   \n","3157     Fungal infection      itching      skin_rash   nodal_skin_eruptions   \n","3343          Hepatitis D   joint_pain       vomiting                fatigue   \n","...                   ...          ...            ...                    ...   \n","2895         Tuberculosis       chills       vomiting                fatigue   \n","2763          Chicken pox      itching      skin_rash                fatigue   \n","905       Gastroenteritis     vomiting    sunken_eyes            dehydration   \n","3980  Chronic cholestasis      itching       vomiting         yellowish_skin   \n","235           Hepatitis E   joint_pain       vomiting             high_fever   \n","\n","                 Symptom_4          Symptom_5        Symptom_6  \\\n","4444              lethargy         high_fever         headache   \n","45     spotting_ urination                  0                0   \n","3393           mood_swings           lethargy        dizziness   \n","3157   dischromic _patches                  0                0   \n","3343        yellowish_skin         dark_urine           nausea   \n","...                    ...                ...              ...   \n","2895           weight_loss              cough       high_fever   \n","2763              lethargy         high_fever         headache   \n","905                      0                  0                0   \n","3980                nausea   loss_of_appetite   abdominal_pain   \n","235         yellowish_skin         dark_urine           nausea   \n","\n","                 Symptom_7          Symptom_8             Symptom_9  \\\n","4444      loss_of_appetite         mild_fever   swelled_lymph_nodes   \n","45                       0                  0                     0   \n","3393   puffy_face_and_eyes   enlarged_thyroid         brittle_nails   \n","3157                     0                  0                     0   \n","3343      loss_of_appetite     abdominal_pain     yellowing_of_eyes   \n","...                    ...                ...                   ...   \n","2895        breathlessness           sweating      loss_of_appetite   \n","2763      loss_of_appetite         mild_fever   swelled_lymph_nodes   \n","905                      0                  0                     0   \n","3980     yellowing_of_eyes                  0                     0   \n","235       loss_of_appetite     abdominal_pain     yellowing_of_eyes   \n","\n","                Symptom_10            Symptom_11            Symptom_12  \\\n","4444               malaise   red_spots_over_body                     0   \n","45                       0                     0                     0   \n","3393   swollen_extremeties            depression          irritability   \n","3157                     0                     0                     0   \n","3343                     0                     0                     0   \n","...                    ...                   ...                   ...   \n","2895            mild_fever     yellowing_of_eyes   swelled_lymph_nodes   \n","2763               malaise   red_spots_over_body                     0   \n","905                      0                     0                     0   \n","3980                     0                     0                     0   \n","235    acute_liver_failure                  coma      stomach_bleeding   \n","\n","                  Symptom_13 Symptom_14   Symptom_15        Symptom_16  \\\n","4444                       0          0            0                 0   \n","45                         0          0            0                 0   \n","3393   abnormal_menstruation          0            0                 0   \n","3157                       0          0            0                 0   \n","3343                       0          0            0                 0   \n","...                      ...        ...          ...               ...   \n","2895                 malaise     phlegm   chest_pain   blood_in_sputum   \n","2763                       0          0            0                 0   \n","905                        0          0            0                 0   \n","3980                       0          0            0                 0   \n","235                        0          0            0                 0   \n","\n","     Symptom_17  \n","4444          0  \n","45            0  \n","3393          0  \n","3157          0  \n","3343          0  \n","...         ...  \n","2895          0  \n","2763          0  \n","905           0  \n","3980          0  \n","235           0  \n","\n","[3936 rows x 18 columns]"],"text/html":["\n","  <div id=\"df-5b6027c7-183d-41e6-9ab0-95f198fcabf6\" 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>Disease</th>\n","      <th>Symptom_1</th>\n","      <th>Symptom_2</th>\n","      <th>Symptom_3</th>\n","      <th>Symptom_4</th>\n","      <th>Symptom_5</th>\n","      <th>Symptom_6</th>\n","      <th>Symptom_7</th>\n","      <th>Symptom_8</th>\n","      <th>Symptom_9</th>\n","      <th>Symptom_10</th>\n","      <th>Symptom_11</th>\n","      <th>Symptom_12</th>\n","      <th>Symptom_13</th>\n","      <th>Symptom_14</th>\n","      <th>Symptom_15</th>\n","      <th>Symptom_16</th>\n","      <th>Symptom_17</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>4444</th>\n","      <td>Chicken pox</td>\n","      <td>itching</td>\n","      <td>skin_rash</td>\n","      <td>fatigue</td>\n","      <td>lethargy</td>\n","      <td>high_fever</td>\n","      <td>headache</td>\n","      <td>loss_of_appetite</td>\n","      <td>mild_fever</td>\n","      <td>swelled_lymph_nodes</td>\n","      <td>malaise</td>\n","      <td>red_spots_over_body</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>45</th>\n","      <td>Drug Reaction</td>\n","      <td>skin_rash</td>\n","      <td>stomach_pain</td>\n","      <td>burning_micturition</td>\n","      <td>spotting_ urination</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3393</th>\n","      <td>Hypothyroidism</td>\n","      <td>fatigue</td>\n","      <td>weight_gain</td>\n","      <td>cold_hands_and_feets</td>\n","      <td>mood_swings</td>\n","      <td>lethargy</td>\n","      <td>dizziness</td>\n","      <td>puffy_face_and_eyes</td>\n","      <td>enlarged_thyroid</td>\n","      <td>brittle_nails</td>\n","      <td>swollen_extremeties</td>\n","      <td>depression</td>\n","      <td>irritability</td>\n","      <td>abnormal_menstruation</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3157</th>\n","      <td>Fungal infection</td>\n","      <td>itching</td>\n","      <td>skin_rash</td>\n","      <td>nodal_skin_eruptions</td>\n","      <td>dischromic _patches</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3343</th>\n","      <td>Hepatitis D</td>\n","      <td>joint_pain</td>\n","      <td>vomiting</td>\n","      <td>fatigue</td>\n","      <td>yellowish_skin</td>\n","      <td>dark_urine</td>\n","      <td>nausea</td>\n","      <td>loss_of_appetite</td>\n","      <td>abdominal_pain</td>\n","      <td>yellowing_of_eyes</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>...</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","    </tr>\n","    <tr>\n","      <th>2895</th>\n","      <td>Tuberculosis</td>\n","      <td>chills</td>\n","      <td>vomiting</td>\n","      <td>fatigue</td>\n","      <td>weight_loss</td>\n","      <td>cough</td>\n","      <td>high_fever</td>\n","      <td>breathlessness</td>\n","      <td>sweating</td>\n","      <td>loss_of_appetite</td>\n","      <td>mild_fever</td>\n","      <td>yellowing_of_eyes</td>\n","      <td>swelled_lymph_nodes</td>\n","      <td>malaise</td>\n","      <td>phlegm</td>\n","      <td>chest_pain</td>\n","      <td>blood_in_sputum</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2763</th>\n","      <td>Chicken pox</td>\n","      <td>itching</td>\n","      <td>skin_rash</td>\n","      <td>fatigue</td>\n","      <td>lethargy</td>\n","      <td>high_fever</td>\n","      <td>headache</td>\n","      <td>loss_of_appetite</td>\n","      <td>mild_fever</td>\n","      <td>swelled_lymph_nodes</td>\n","      <td>malaise</td>\n","      <td>red_spots_over_body</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>905</th>\n","      <td>Gastroenteritis</td>\n","      <td>vomiting</td>\n","      <td>sunken_eyes</td>\n","      <td>dehydration</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3980</th>\n","      <td>Chronic cholestasis</td>\n","      <td>itching</td>\n","      <td>vomiting</td>\n","      <td>yellowish_skin</td>\n","      <td>nausea</td>\n","      <td>loss_of_appetite</td>\n","      <td>abdominal_pain</td>\n","      <td>yellowing_of_eyes</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>235</th>\n","      <td>Hepatitis E</td>\n","      <td>joint_pain</td>\n","      <td>vomiting</td>\n","      <td>high_fever</td>\n","      <td>yellowish_skin</td>\n","      <td>dark_urine</td>\n","      <td>nausea</td>\n","      <td>loss_of_appetite</td>\n","      <td>abdominal_pain</td>\n","      <td>yellowing_of_eyes</td>\n","      <td>acute_liver_failure</td>\n","      <td>coma</td>\n","      <td>stomach_bleeding</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>3936 rows × 18 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5b6027c7-183d-41e6-9ab0-95f198fcabf6')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-5b6027c7-183d-41e6-9ab0-95f198fcabf6 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-5b6027c7-183d-41e6-9ab0-95f198fcabf6');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-e39b3586-6187-43ea-8083-1b9402c0dfc8\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e39b3586-6187-43ea-8083-1b9402c0dfc8')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-e39b3586-6187-43ea-8083-1b9402c0dfc8 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","  <div id=\"id_688d10f3-b4d0-4f90-95ca-ab4ce0b89f3a\">\n","    <style>\n","      .colab-df-generate {\n","        background-color: #E8F0FE;\n","        border: none;\n","        border-radius: 50%;\n","        cursor: pointer;\n","        display: none;\n","        fill: #1967D2;\n","        height: 32px;\n","        padding: 0 0 0 0;\n","        width: 32px;\n","      }\n","\n","      .colab-df-generate:hover {\n","        background-color: #E2EBFA;\n","        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","        fill: #174EA6;\n","      }\n","\n","      [theme=dark] .colab-df-generate {\n","        background-color: #3B4455;\n","        fill: #D2E3FC;\n","      }\n","\n","      [theme=dark] .colab-df-generate:hover {\n","        background-color: #434B5C;\n","        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","        fill: #FFFFFF;\n","      }\n","    </style>\n","    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('train')\"\n","            title=\"Generate code using this dataframe.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n","  </svg>\n","    </button>\n","    <script>\n","      (() => {\n","      const buttonEl =\n","        document.querySelector('#id_688d10f3-b4d0-4f90-95ca-ab4ce0b89f3a button.colab-df-generate');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      buttonEl.onclick = () => {\n","        google.colab.notebook.generateWithVariable('train');\n","      }\n","      })();\n","    </script>\n","  </div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":92}]},{"cell_type":"code","source":["\n","le = LabelEncoder()\n","train['Disease'] = le.fit_transform(train['Disease'])\n","test['Disease'] = le.transform(test['Disease'])"],"metadata":{"id":"a9__SqrByu7P","executionInfo":{"status":"ok","timestamp":1703147034644,"user_tz":-420,"elapsed":2,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":93,"outputs":[]},{"cell_type":"code","source":["train['Disease']"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"TbixpXjHyv2G","executionInfo":{"status":"ok","timestamp":1703147035528,"user_tz":-420,"elapsed":3,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"728ec339-2e08-43c4-bf05-1a0820f30c5e"},"execution_count":94,"outputs":[{"output_type":"execute_result","data":{"text/plain":["4444     8\n","45      14\n","3393    26\n","3157    15\n","3343    21\n","        ..\n","2895    36\n","2763     8\n","905     17\n","3980     9\n","235     22\n","Name: Disease, Length: 3936, dtype: int64"]},"metadata":{},"execution_count":94}]},{"cell_type":"code","source":["\n","sns.countplot(data=data,x='Symptom_1')\n","plt.xticks(rotation=45, ha='right')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"z3QrAZbNzFQp","executionInfo":{"status":"ok","timestamp":1703147036923,"user_tz":-420,"elapsed":1067,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"54fe137f-e468-43a4-ebff-9bc66964e368"},"execution_count":95,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x2000 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["sns.countplot(data=data,x='Symptom_2')\n","plt.xticks(rotation=45, ha='right')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"0RVCiPm9zziV","executionInfo":{"status":"ok","timestamp":1703147038428,"user_tz":-420,"elapsed":1021,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"41dd2c37-f391-4857-882a-9ff4ab9d786f"},"execution_count":96,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x2000 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["sns.countplot(data=data,x='Symptom_3')\n","plt.xticks(rotation=45, ha='right')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"EcgsrZWiz_g3","executionInfo":{"status":"ok","timestamp":1703147039562,"user_tz":-420,"elapsed":5,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"70bcfee6-df35-47ef-df13-3a30d195c678"},"execution_count":97,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x2000 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["sns.countplot(data=data,x='Symptom_4')\n","plt.xticks(rotation=45, ha='right')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"YN9ufitY0Ulb","executionInfo":{"status":"ok","timestamp":1703147040651,"user_tz":-420,"elapsed":5,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"780971d5-fc2e-4a24-bd31-94706cd1a68d"},"execution_count":98,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x2000 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["pd.crosstab(data['Disease'], data['Symptom_1']).plot.bar(figsize = (20,10))\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":670},"id":"Dz6bChoh0lJk","executionInfo":{"status":"ok","timestamp":1703147046699,"user_tz":-420,"elapsed":5729,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"6d0998de-eec5-4b77-c4cf-8c79ac74172f"},"execution_count":99,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Axes: xlabel='Disease'>"]},"metadata":{},"execution_count":99},{"output_type":"display_data","data":{"text/plain":["<Figure size 2000x1000 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["pd.crosstab(data['Disease'], data['Symptom_2']).plot.bar(figsize = (20,10))\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":844},"id":"tWe01t2S1Tm-","executionInfo":{"status":"ok","timestamp":1703147066624,"user_tz":-420,"elapsed":19927,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"6a021a34-4ec4-4988-9456-3b9ae684e09e"},"execution_count":100,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Axes: xlabel='Disease'>"]},"metadata":{},"execution_count":100},{"output_type":"display_data","data":{"text/plain":["<Figure size 2000x1000 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["\n","sns.scatterplot(data = data, x = 'Disease', y = 'Symptom_1')\n","sns.set(rc={'figure.figsize':(10, 20)})\n","plt.xticks(rotation=45, ha='right')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"7E6TuQ-c1twX","executionInfo":{"status":"ok","timestamp":1703147067810,"user_tz":-420,"elapsed":1189,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"be4638d2-f728-49a1-95bc-d02cf5b9650e"},"execution_count":101,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x2000 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# Trọng số từng triệu chưgs"],"metadata":{"id":"QdPbiHxF3fhQ"}},{"cell_type":"code","source":["weight = pd.read_csv('/content/drive/MyDrive/GNN/disease/Symptom-severity.csv')\n","weight.head(10)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"id":"N5ftizPw2yp6","executionInfo":{"status":"ok","timestamp":1703147067810,"user_tz":-420,"elapsed":17,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"abfd235e-4120-450d-863c-a17bed85e83b"},"execution_count":102,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                Symptom  weight\n","0               itching       1\n","1             skin_rash       3\n","2  nodal_skin_eruptions       4\n","3   continuous_sneezing       4\n","4             shivering       5\n","5                chills       3\n","6            joint_pain       3\n","7          stomach_pain       5\n","8               acidity       3\n","9      ulcers_on_tongue       4"],"text/html":["\n","  <div id=\"df-a4b6f0c1-6bc0-4fa2-bd27-5515ba075b20\" 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>Symptom</th>\n","      <th>weight</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>itching</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>skin_rash</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>nodal_skin_eruptions</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>continuous_sneezing</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>shivering</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>chills</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>joint_pain</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>stomach_pain</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>acidity</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>ulcers_on_tongue</td>\n","      <td>4</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a4b6f0c1-6bc0-4fa2-bd27-5515ba075b20')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-a4b6f0c1-6bc0-4fa2-bd27-5515ba075b20 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-a4b6f0c1-6bc0-4fa2-bd27-5515ba075b20');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-6d28b591-c6c2-4cd4-a212-9fa07e4444e2\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6d28b591-c6c2-4cd4-a212-9fa07e4444e2')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-6d28b591-c6c2-4cd4-a212-9fa07e4444e2 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":102}]},{"cell_type":"code","source":["weight.hist(bins = 7)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"sgJp_FeO7sPX","executionInfo":{"status":"ok","timestamp":1703147067810,"user_tz":-420,"elapsed":16,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"29d0ab1b-b6fb-48da-d90c-74afc91f9d88"},"execution_count":103,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[<Axes: title={'center': 'weight'}>]], dtype=object)"]},"metadata":{},"execution_count":103},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x2000 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["weight.info()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ZJyzMwiAFKpV","executionInfo":{"status":"ok","timestamp":1703147067810,"user_tz":-420,"elapsed":13,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"4600a63c-029f-433e-82de-6cfb59472fc1"},"execution_count":104,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 133 entries, 0 to 132\n","Data columns (total 2 columns):\n"," #   Column   Non-Null Count  Dtype \n","---  ------   --------------  ----- \n"," 0   Symptom  133 non-null    object\n"," 1   weight   133 non-null    int64 \n","dtypes: int64(1), object(1)\n","memory usage: 2.2+ KB\n"]}]},{"cell_type":"code","source":["weight.Symptom = weight.Symptom.astype(str)\n"],"metadata":{"id":"SW3KNNGn81nS","executionInfo":{"status":"ok","timestamp":1703147067810,"user_tz":-420,"elapsed":11,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":105,"outputs":[]},{"cell_type":"code","source":["weight.shape\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Aw9smsXOEzyP","executionInfo":{"status":"ok","timestamp":1703147067810,"user_tz":-420,"elapsed":11,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"3efe0ff2-b6b2-47fb-a473-593a57c23f32"},"execution_count":106,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(133, 2)"]},"metadata":{},"execution_count":106}]},{"cell_type":"markdown","source":["# Strategy 1"],"metadata":{"id":"IU95PTFAFck9"}},{"cell_type":"markdown","source":["Mỗi bệnh dùng 10 triệu chứng đầu để huấn luyện mô hình"],"metadata":{"id":"c2xt43cIFt7o"}},{"cell_type":"code","source":["def create_data(data):\n","  symtomp = [f'Symptom_{i}' for i in range(1,11)]\n","  X = data[symtomp]\n","  y = data[['Disease']]\n","\n","  for col in symtomp:\n","    le = LabelEncoder()\n","    X[col] = le.fit_transform(X[col].astype(str))\n","\n","  return X, y\n","\n","X_train, y_train = create_data(train)\n","X_test, y_test = create_data(test)"],"metadata":{"id":"oYlrLOhyE1xT","executionInfo":{"status":"ok","timestamp":1703147067810,"user_tz":-420,"elapsed":9,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":107,"outputs":[]},{"cell_type":"code","source":["X_train.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"vdJZuu5lGlA0","executionInfo":{"status":"ok","timestamp":1703147067810,"user_tz":-420,"elapsed":9,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"d79871ef-ba3d-4352-d5f3-01cc79dc6a78"},"execution_count":108,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(3936, 10)"]},"metadata":{},"execution_count":108}]},{"cell_type":"code","source":["X_train.head(10)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":383},"id":"3WqVwrYyGol7","executionInfo":{"status":"ok","timestamp":1703147067810,"user_tz":-420,"elapsed":7,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"3bc37609-a93d-46b2-b80f-255d134ce9ae"},"execution_count":109,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      Symptom_1  Symptom_2  Symptom_3  Symptom_4  Symptom_5  Symptom_6  \\\n","4444         33         35         21         24         13         12   \n","45           24         37          9         39         38         32   \n","3393         11         45         12         27         20          8   \n","3157         33         35         35         11         38         32   \n","3343         15         42         21         49          5         20   \n","1620         24         20         42         36         27         15   \n","1540         11         45         12         27         20          8   \n","4859         11         47         33         25         36          9   \n","4455          6         15         14         19          2         26   \n","216          11         47         33         25         10         32   \n","\n","      Symptom_7  Symptom_8  Symptom_9  Symptom_10  \n","4444         13         11         16           7  \n","45           26         21         22          21  \n","3393         21          5          1          17  \n","3157         26         21         22          21  \n","3343         13          0         21          21  \n","1620         26         21         22          21  \n","1540         21          5          1          17  \n","4859         26         21         22          21  \n","4455         14         15          2           5  \n","216          26         21         22          21  "],"text/html":["\n","  <div id=\"df-f442f929-e4b5-48eb-b022-d008ea00829c\" 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>Symptom_1</th>\n","      <th>Symptom_2</th>\n","      <th>Symptom_3</th>\n","      <th>Symptom_4</th>\n","      <th>Symptom_5</th>\n","      <th>Symptom_6</th>\n","      <th>Symptom_7</th>\n","      <th>Symptom_8</th>\n","      <th>Symptom_9</th>\n","      <th>Symptom_10</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>4444</th>\n","      <td>33</td>\n","      <td>35</td>\n","      <td>21</td>\n","      <td>24</td>\n","      <td>13</td>\n","      <td>12</td>\n","      <td>13</td>\n","      <td>11</td>\n","      <td>16</td>\n","      <td>7</td>\n","    </tr>\n","    <tr>\n","      <th>45</th>\n","      <td>24</td>\n","      <td>37</td>\n","      <td>9</td>\n","      <td>39</td>\n","      <td>38</td>\n","      <td>32</td>\n","      <td>26</td>\n","      <td>21</td>\n","      <td>22</td>\n","      <td>21</td>\n","    </tr>\n","    <tr>\n","      <th>3393</th>\n","      <td>11</td>\n","      <td>45</td>\n","      <td>12</td>\n","      <td>27</td>\n","      <td>20</td>\n","      <td>8</td>\n","      <td>21</td>\n","      <td>5</td>\n","      <td>1</td>\n","      <td>17</td>\n","    </tr>\n","    <tr>\n","      <th>3157</th>\n","      <td>33</td>\n","      <td>35</td>\n","      <td>35</td>\n","      <td>11</td>\n","      <td>38</td>\n","      <td>32</td>\n","      <td>26</td>\n","      <td>21</td>\n","      <td>22</td>\n","      <td>21</td>\n","    </tr>\n","    <tr>\n","      <th>3343</th>\n","      <td>15</td>\n","      <td>42</td>\n","      <td>21</td>\n","      <td>49</td>\n","      <td>5</td>\n","      <td>20</td>\n","      <td>13</td>\n","      <td>0</td>\n","      <td>21</td>\n","      <td>21</td>\n","    </tr>\n","    <tr>\n","      <th>1620</th>\n","      <td>24</td>\n","      <td>20</td>\n","      <td>42</td>\n","      <td>36</td>\n","      <td>27</td>\n","      <td>15</td>\n","      <td>26</td>\n","      <td>21</td>\n","      <td>22</td>\n","      <td>21</td>\n","    </tr>\n","    <tr>\n","      <th>1540</th>\n","      <td>11</td>\n","      <td>45</td>\n","      <td>12</td>\n","      <td>27</td>\n","      <td>20</td>\n","      <td>8</td>\n","      <td>21</td>\n","      <td>5</td>\n","      <td>1</td>\n","      <td>17</td>\n","    </tr>\n","    <tr>\n","      <th>4859</th>\n","      <td>11</td>\n","      <td>47</td>\n","      <td>33</td>\n","      <td>25</td>\n","      <td>36</td>\n","      <td>9</td>\n","      <td>26</td>\n","      <td>21</td>\n","      <td>22</td>\n","      <td>21</td>\n","    </tr>\n","    <tr>\n","      <th>4455</th>\n","      <td>6</td>\n","      <td>15</td>\n","      <td>14</td>\n","      <td>19</td>\n","      <td>2</td>\n","      <td>26</td>\n","      <td>14</td>\n","      <td>15</td>\n","      <td>2</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>216</th>\n","      <td>11</td>\n","      <td>47</td>\n","      <td>33</td>\n","      <td>25</td>\n","      <td>10</td>\n","      <td>32</td>\n","      <td>26</td>\n","      <td>21</td>\n","      <td>22</td>\n","      <td>21</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f442f929-e4b5-48eb-b022-d008ea00829c')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-f442f929-e4b5-48eb-b022-d008ea00829c 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-f442f929-e4b5-48eb-b022-d008ea00829c');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-bcd8d66c-7c49-420d-88af-38dd71bba4cd\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-bcd8d66c-7c49-420d-88af-38dd71bba4cd')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-bcd8d66c-7c49-420d-88af-38dd71bba4cd button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":109}]},{"cell_type":"code","source":["!pip install xgboost\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"e-3hcChnGqo8","executionInfo":{"status":"ok","timestamp":1703144593284,"user_tz":-420,"elapsed":4950,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"c9db4cc9-66ac-47f5-e954-b5911ecfe125"},"execution_count":27,"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: xgboost in /usr/local/lib/python3.10/dist-packages (2.0.2)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from xgboost) (1.23.5)\n","Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from xgboost) (1.11.4)\n"]}]},{"cell_type":"code","source":["from xgboost import XGBClassifier\n","model = XGBClassifier()\n","model.fit(X_train, y_train)\n","y_pred = model.predict(X_test)\n","print(classification_report(y_test, y_pred))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JhpVKp6_Gu1W","executionInfo":{"status":"ok","timestamp":1703144594748,"user_tz":-420,"elapsed":1467,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"a4e20731-c38b-4bf7-a205-abd18cde8d71"},"execution_count":28,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       1.00      1.00      1.00        33\n","           1       0.48      1.00      0.65        23\n","           2       1.00      0.22      0.36        23\n","           3       1.00      1.00      1.00        19\n","           4       1.00      1.00      1.00        26\n","           5       1.00      0.82      0.90        22\n","           6       1.00      1.00      1.00        22\n","           7       0.35      0.89      0.50        27\n","           8       1.00      0.40      0.57        20\n","           9       1.00      0.95      0.97        20\n","          10       1.00      1.00      1.00        20\n","          11       1.00      1.00      1.00        31\n","          12       1.00      1.00      1.00        25\n","          13       1.00      1.00      1.00        28\n","          14       1.00      0.10      0.17        21\n","          15       0.40      0.11      0.17        18\n","          16       1.00      1.00      1.00        23\n","          17       1.00      1.00      1.00        28\n","          18       1.00      0.23      0.38        26\n","          19       1.00      1.00      1.00        26\n","          20       0.97      1.00      0.98        29\n","          21       1.00      1.00      1.00        22\n","          22       1.00      1.00      1.00        28\n","          23       1.00      1.00      1.00        23\n","          24       1.00      1.00      1.00        25\n","          25       1.00      1.00      1.00        21\n","          26       1.00      1.00      1.00        25\n","          27       0.44      1.00      0.62        16\n","          28       1.00      1.00      1.00        25\n","          29       1.00      1.00      1.00        22\n","          30       1.00      1.00      1.00        22\n","          31       1.00      1.00      1.00        30\n","          32       1.00      1.00      1.00        22\n","          33       1.00      0.96      0.98        23\n","          34       1.00      1.00      1.00        25\n","          35       1.00      1.00      1.00        21\n","          36       1.00      1.00      1.00        22\n","          37       1.00      1.00      1.00        23\n","          38       1.00      1.00      1.00        22\n","          39       1.00      1.00      1.00        23\n","          40       1.00      1.00      1.00        34\n","\n","    accuracy                           0.90       984\n","   macro avg       0.94      0.89      0.88       984\n","weighted avg       0.95      0.90      0.90       984\n","\n"]}]},{"cell_type":"code","source":["def remove_space_between_word(dataset):\n","    for col in dataset.columns:\n","        for i in range(len(dataset[col])):\n","            if (type(dataset[col][i]) == str ):\n","                dataset[col][i] = dataset[col][i].strip()\n","                dataset[col][i] = dataset[col][i].replace(\" \", \"_\")\n","    return data\n","\n","new_df = remove_space_between_word(data)"],"metadata":{"id":"K0Lobkn4McSh","executionInfo":{"status":"ok","timestamp":1703147076520,"user_tz":-420,"elapsed":8717,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":110,"outputs":[]},{"cell_type":"code","source":["weights = weight.set_index('Symptom')['weight'].to_dict()\n"],"metadata":{"id":"H0553e5IMsBK","executionInfo":{"status":"ok","timestamp":1703147076520,"user_tz":-420,"elapsed":4,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":111,"outputs":[]},{"cell_type":"code","source":["\n","def enc(dataset):\n","    le = LabelEncoder()\n","    dataset.Disease = le.fit_transform(dataset.Disease)\n","    dataset = dataset.replace(weights)\n","    dataset = dataset.fillna(0) # put empty cell to 0\n","    dataset = dataset.replace(\"foul_smell_of_urine\" , 5)\n","    dataset = dataset.replace(\"dischromic__patches\" , 6)\n","    dataset = dataset.replace(\"spotting__urination\" , 6)\n","    return dataset\n","df = enc(new_df)\n","df.head(10)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":383},"id":"fl89P-dsM2w5","executionInfo":{"status":"ok","timestamp":1703147077201,"user_tz":-420,"elapsed":684,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"5856f27e-e594-4e9d-96f3-57ca30a7858a"},"execution_count":112,"outputs":[{"output_type":"execute_result","data":{"text/plain":["   Disease  Symptom_1  Symptom_2  Symptom_3  Symptom_4  Symptom_5  Symptom_6  \\\n","0       15          1          3          4          6          0          0   \n","1       15          3          4          6          0          0          0   \n","2       15          1          4          6          0          0          0   \n","3       15          1          3          6          0          0          0   \n","4       15          1          3          4          0          0          0   \n","5       15          3          4          6          0          0          0   \n","6       15          1          4          6          0          0          0   \n","7       15          1          3          6          0          0          0   \n","8       15          1          3          4          0          0          0   \n","9       15          1          3          4          6          0          0   \n","\n","   Symptom_7  Symptom_8  Symptom_9  Symptom_10  Symptom_11  Symptom_12  \\\n","0          0          0          0           0           0           0   \n","1          0          0          0           0           0           0   \n","2          0          0          0           0           0           0   \n","3          0          0          0           0           0           0   \n","4          0          0          0           0           0           0   \n","5          0          0          0           0           0           0   \n","6          0          0          0           0           0           0   \n","7          0          0          0           0           0           0   \n","8          0          0          0           0           0           0   \n","9          0          0          0           0           0           0   \n","\n","   Symptom_13  Symptom_14  Symptom_15  Symptom_16  Symptom_17  \n","0           0           0           0           0           0  \n","1           0           0           0           0           0  \n","2           0           0           0           0           0  \n","3           0           0           0           0           0  \n","4           0           0           0           0           0  \n","5           0           0           0           0           0  \n","6           0           0           0           0           0  \n","7           0           0           0           0           0  \n","8           0           0           0           0           0  \n","9           0           0           0           0           0  "],"text/html":["\n","  <div id=\"df-4775b584-1251-4232-922c-66e156e82681\" 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>Disease</th>\n","      <th>Symptom_1</th>\n","      <th>Symptom_2</th>\n","      <th>Symptom_3</th>\n","      <th>Symptom_4</th>\n","      <th>Symptom_5</th>\n","      <th>Symptom_6</th>\n","      <th>Symptom_7</th>\n","      <th>Symptom_8</th>\n","      <th>Symptom_9</th>\n","      <th>Symptom_10</th>\n","      <th>Symptom_11</th>\n","      <th>Symptom_12</th>\n","      <th>Symptom_13</th>\n","      <th>Symptom_14</th>\n","      <th>Symptom_15</th>\n","      <th>Symptom_16</th>\n","      <th>Symptom_17</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>15</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>15</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>15</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>15</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>15</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>15</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>15</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>15</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>15</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>15</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4775b584-1251-4232-922c-66e156e82681')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-4775b584-1251-4232-922c-66e156e82681 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-4775b584-1251-4232-922c-66e156e82681');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-cfc60877-ceee-436c-9dc2-800b5305f4c2\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-cfc60877-ceee-436c-9dc2-800b5305f4c2')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-cfc60877-ceee-436c-9dc2-800b5305f4c2 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":112}]},{"cell_type":"markdown","source":["# Strategy 2"],"metadata":{"id":"6Jkl_5EiKXfx"}},{"cell_type":"code","source":["data[\"Symptoms\"] = 0\n","records = data.shape[0]\n","for i in range(records):\n","    values = data.iloc[i].values\n","    values = values.tolist()\n","    if 0 in values:\n","        data[\"Symptoms\"][i] = values[1:values.index(0)]\n","    else:\n","        data[\"Symptoms\"][i] = values[1:]\n"],"metadata":{"id":"-Lj1FiWGHB_S","executionInfo":{"status":"ok","timestamp":1703147077700,"user_tz":-420,"elapsed":502,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":113,"outputs":[]},{"cell_type":"code","source":["symps = weight['Symptom'].unique().tolist()\n","symptoms = pd.DataFrame(columns = symps,index = data.index)\n","symptoms[\"Symptoms\"] = data[\"Symptoms\"]\n","for i in symps:\n","    symptoms[i] = symptoms.apply(lambda x:1 if i in x.Symptoms else 0, axis=1)"],"metadata":{"id":"GhLXxP6uK1o8","executionInfo":{"status":"ok","timestamp":1703147084292,"user_tz":-420,"elapsed":6595,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":114,"outputs":[]},{"cell_type":"code","source":["symptoms[\"Disease\"] = data[\"Disease\"]\n","symptoms = symptoms.drop(\"Symptoms\",axis=1)"],"metadata":{"id":"2fUUPCS-LFPz","executionInfo":{"status":"ok","timestamp":1703147084292,"user_tz":-420,"elapsed":3,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":115,"outputs":[]},{"cell_type":"code","source":["X_train, X_test, y_train, y_test = train_test_split(symptoms.drop('Disease', axis = 1), symptoms['Disease'], test_size = 0.2, random_state = 1)\n"],"metadata":{"id":"-FFTXn8zLPMi","executionInfo":{"status":"ok","timestamp":1703144639566,"user_tz":-420,"elapsed":503,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":35,"outputs":[]},{"cell_type":"code","source":["\n","rnd_forest = RandomForestClassifier()\n","rnd_forest.fit(X_train,y_train)\n","y_pred = rnd_forest.predict(X_test)\n","print(classification_report(y_test, y_pred))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"clT5ReQuL3MB","executionInfo":{"status":"ok","timestamp":1703144640205,"user_tz":-420,"elapsed":642,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"b278b4a1-773d-45a6-f01a-54af8f72eba3"},"execution_count":36,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       1.00      1.00      1.00        33\n","           1       1.00      1.00      1.00        23\n","           2       1.00      1.00      1.00        23\n","           3       1.00      1.00      1.00        19\n","           4       1.00      1.00      1.00        26\n","           5       1.00      1.00      1.00        22\n","           6       1.00      1.00      1.00        22\n","           7       1.00      1.00      1.00        27\n","           8       1.00      1.00      1.00        20\n","           9       1.00      1.00      1.00        20\n","          10       1.00      1.00      1.00        20\n","          11       1.00      1.00      1.00        31\n","          12       1.00      1.00      1.00        25\n","          13       1.00      1.00      1.00        28\n","          14       1.00      1.00      1.00        21\n","          15       1.00      1.00      1.00        18\n","          16       1.00      1.00      1.00        23\n","          17       1.00      1.00      1.00        28\n","          18       1.00      1.00      1.00        26\n","          19       1.00      1.00      1.00        26\n","          20       1.00      1.00      1.00        29\n","          21       1.00      1.00      1.00        22\n","          22       1.00      1.00      1.00        28\n","          23       1.00      1.00      1.00        23\n","          24       1.00      1.00      1.00        25\n","          25       1.00      1.00      1.00        21\n","          26       1.00      1.00      1.00        25\n","          27       1.00      1.00      1.00        16\n","          28       1.00      1.00      1.00        25\n","          29       1.00      1.00      1.00        22\n","          30       1.00      1.00      1.00        22\n","          31       1.00      1.00      1.00        30\n","          32       1.00      1.00      1.00        22\n","          33       1.00      1.00      1.00        23\n","          34       1.00      1.00      1.00        25\n","          35       1.00      1.00      1.00        21\n","          36       1.00      1.00      1.00        22\n","          37       1.00      1.00      1.00        23\n","          38       1.00      1.00      1.00        22\n","          39       1.00      1.00      1.00        23\n","          40       1.00      1.00      1.00        34\n","\n","    accuracy                           1.00       984\n","   macro avg       1.00      1.00      1.00       984\n","weighted avg       1.00      1.00      1.00       984\n","\n"]}]},{"cell_type":"code","source":["\n","feature_names = set(df.columns[2:])\n","num_features = len(feature_names)\n","num_classes = y_train.nunique()\n","\n","hidden_units = [64, 32]\n","learning_rate = 0.01\n","dropout_rate = 0.1\n","num_epochs = 300\n","batch_size = 256"],"metadata":{"id":"AZIbSbQKMMBr","executionInfo":{"status":"ok","timestamp":1703147084292,"user_tz":-420,"elapsed":2,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":116,"outputs":[]},{"cell_type":"code","source":["df.reset_index(inplace = True)\n"],"metadata":{"id":"DWSr8m4PRfNc","executionInfo":{"status":"ok","timestamp":1703147202157,"user_tz":-420,"elapsed":467,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":117,"outputs":[]},{"cell_type":"code","source":["train, test = train_test_split(df, test_size = 0.2, random_state = 1)\n"],"metadata":{"id":"suH3JgVeRhUS","executionInfo":{"status":"ok","timestamp":1703147202569,"user_tz":-420,"elapsed":5,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":118,"outputs":[]},{"cell_type":"code","source":["\n","def create_ffn(hidden_units, dropout_rate, name=None):\n","    fnn_layers = []\n","    for units in hidden_units:\n","        fnn_layers.append(layers.BatchNormalization())\n","        fnn_layers.append(layers.Dropout(dropout_rate))\n","        fnn_layers.append(layers.Dense(units, activation=tf.nn.gelu))\n","\n","    return keras.Sequential(fnn_layers, name=name)\n"],"metadata":{"id":"BBrscyr9Ri3q","executionInfo":{"status":"ok","timestamp":1703147202569,"user_tz":-420,"elapsed":4,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":119,"outputs":[]},{"cell_type":"code","source":["\n","class GraphConvLayer(layers.Layer):\n","    def __init__(\n","        self,\n","        hidden_units,\n","        dropout_rate=0.2,\n","        aggregation_type=\"attention\",\n","        combination_type=\"gated\",\n","        normalize=False,\n","        *args,\n","        **kwargs,\n","    ):\n","        super().__init__(*args, **kwargs)\n","\n","        self.aggregation_type = aggregation_type\n","        self.combination_type = combination_type\n","        self.normalize = normalize\n","\n","        self.ffn_prepare = create_ffn(hidden_units, dropout_rate)\n","        if self.combination_type == \"gru\":\n","            self.update_fn = layers.GRU(\n","                units=hidden_units[-1],\n","                activation=\"tanh\",\n","                recurrent_activation=\"sigmoid\",\n","                dropout=dropout_rate,\n","                return_sequences=True,\n","                recurrent_dropout=dropout_rate,\n","            )\n","        else:\n","            self.update_fn = create_ffn(hidden_units, dropout_rate)\n","        self.dense_q = tf.keras.layers.Dense(units=hidden_units[-1], activation=tf.keras.layers.LeakyReLU(alpha=0.01))\n","        self.dense_v = tf.keras.layers.Dense(units=hidden_units[-1], activation=tf.keras.layers.LeakyReLU(alpha=0.01))\n","        self.dense_k = tf.keras.layers.Dense(units=hidden_units[-1], activation=tf.keras.layers.LeakyReLU(alpha=0.01))\n","        self.multi_attention = tf.keras.layers.MultiHeadAttention(\n","              num_heads = 4, key_dim = 32, dropout= 0.1\n","          )\n","    def prepare(self, node_repesentations, weights=None):\n","        # node_repesentations shape is [num_edges, embedding_dim].\n","        messages = self.ffn_prepare(node_repesentations)\n","        if weights is not None:\n","            messages = messages * tf.expand_dims(weights, -1)\n","        return messages\n","\n","    def aggregate(self, node_indices, neighbour_messages, node_repesentations):\n","        # node_indices shape is [num_edges].\n","        # neighbour_messages shape: [num_edges, representation_dim].\n","        # node_repesentations shape is [num_nodes, representation_dim]\n","        num_nodes = node_repesentations.shape[0]\n","        if self.aggregation_type == \"sum\":\n","            aggregated_message = tf.math.unsorted_segment_sum(\n","                neighbour_messages, node_indices, num_segments=num_nodes\n","            )\n","        elif self.aggregation_type == \"mean\":\n","            aggregated_message = tf.math.unsorted_segment_mean(\n","                neighbour_messages, node_indices, num_segments=num_nodes\n","            )\n","        elif self.aggregation_type == \"max\":\n","            aggregated_message = tf.math.unsorted_segment_max(\n","                neighbour_messages, node_indices, num_segments=num_nodes\n","            )\n","        elif self.aggregation_type == \"attention\":\n","\n","          queries = self.dense_q(node_repesentations)\n","          values = self.dense_v(neighbour_messages)\n","\n","          aggregated_message = tf.keras.layers.Attention(\n","              dropout= 0.1\n","          )([queries, values])\n","\n","        elif self.aggregation_type == \"multi_attention\":\n","\n","          queries = self.dense_q(node_repesentations)\n","          values = self.dense_v(neighbour_messages)\n","          keys = self.dense_k(neighbour_messages)\n","          q = tf.expand_dims(queries, axis=0)\n","          k = tf.expand_dims(keys, axis=0)\n","          v = tf.expand_dims(values, axis=0)\n","          aggregated_message = self.multi_attention(query = q, value = v, key = k)\n","          aggregated_message = tf.squeeze(aggregated_message)\n","        else:\n","            raise ValueError(f\"Invalid aggregation type: {self.aggregation_type}.\")\n","        return aggregated_message\n","\n","    def update(self, node_repesentations, aggregated_messages):\n","        # node_repesentations shape is [num_nodes, representation_dim].\n","        # aggregated_messages shape is [num_nodes, representation_dim].\n","        if self.combination_type == \"gru\":\n","            # Create a sequence of two elements for the GRU layer.\n","            h = tf.stack([node_repesentations, aggregated_messages], axis=1)\n","        elif self.combination_type == \"concat\":\n","            # Concatenate the node_repesentations and aggregated_messages.\n","            h = tf.concat([node_repesentations, aggregated_messages], axis=1)\n","        elif self.combination_type == \"add\":\n","            # Add node_repesentations and aggregated_messages.\n","            h = node_repesentations + aggregated_messages\n","        else:\n","            raise ValueError(f\"Invalid combination type: {self.combination_type}.\")\n","\n","        # Apply the processing function.\n","        node_embeddings = self.update_fn(h)\n","        if self.combination_type == \"gru\":\n","            node_embeddings = tf.unstack(node_embeddings, axis=1)[-1]\n","\n","        if self.normalize:\n","            node_embeddings = tf.nn.l2_normalize(node_embeddings, axis=-1)\n","        return node_embeddings\n","\n","    def call(self, inputs):\n","        \"\"\"Process the inputs to produce the node_embeddings.\n","\n","        inputs: a tuple of three elements: node_repesentations, edges, edge_weights.\n","        Returns: node_embeddings of shape [num_nodes, representation_dim].\n","        \"\"\"\n","\n","        node_repesentations, edges, edge_weights = inputs\n","        # Get node_indices (source) and neighbour_indices (target) from edges.\n","        node_indices, neighbour_indices = edges[0], edges[1]\n","        # neighbour_repesentations shape is [num_edges, representation_dim].\n","        neighbour_repesentations = tf.gather(node_repesentations, neighbour_indices)\n","\n","        # Prepare the messages of the neighbours.\n","        neighbour_messages = self.prepare(neighbour_repesentations, edge_weights)\n","        # Aggregate the neighbour messages.\n","        aggregated_messages = self.aggregate(\n","            node_indices, neighbour_messages, node_repesentations\n","        )\n","        # Update the node embedding with the neighbour messages.\n","        return self.update(node_repesentations, aggregated_messages)"],"metadata":{"id":"uLi6tPeqRo1O","executionInfo":{"status":"ok","timestamp":1703147204715,"user_tz":-420,"elapsed":451,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":120,"outputs":[]},{"cell_type":"code","source":["\n","class GNNNodeClassifier(tf.keras.Model):\n","    def __init__(\n","        self,\n","        graph_info,\n","        num_classes,\n","        hidden_units,\n","        aggregation_type=\"mean\",\n","        combination_type=\"gru\",\n","        dropout_rate=0.2,\n","        normalize=True,\n","        *args,\n","        **kwargs,\n","    ):\n","        super().__init__(*args, **kwargs)\n","\n","        # Unpack graph_info to three elements: node_features, edges, and edge_weight.\n","        node_features, edges, edge_weights = graph_info\n","        self.node_features = node_features\n","        self.edges = edges\n","        self.edge_weights = edge_weights\n","        # Set edge_weights to ones if not provided.\n","        if self.edge_weights is None:\n","            self.edge_weights = tf.ones(shape=edges.shape[1])\n","        # Scale edge_weights to sum to 1.\n","        self.edge_weights = self.edge_weights / tf.math.reduce_sum(self.edge_weights)\n","\n","        # Create a process layer.\n","        self.preprocess = create_ffn(hidden_units, dropout_rate, name=\"preprocess\")\n","        # Create the first GraphConv layer.\n","        self.conv1 = GraphConvLayer(\n","            hidden_units,\n","            dropout_rate,\n","            aggregation_type,\n","            combination_type,\n","            normalize,\n","            name=\"graph_conv1\",\n","        )\n","        # Create the second GraphConv layer.\n","        self.conv2 = GraphConvLayer(\n","            hidden_units,\n","            dropout_rate,\n","            aggregation_type,\n","            combination_type,\n","            normalize,\n","            name=\"graph_conv2\",\n","        )\n","        # Create a postprocess layer.\n","        self.postprocess = create_ffn(hidden_units, dropout_rate, name=\"postprocess\")\n","        # Create a compute logits layer.\n","        self.compute_logits = layers.Dense(units=num_classes,activation = 'softmax', name=\"logits\")\n","\n","    def call(self, input_node_indices):\n","        # Preprocess the node_features to produce node representations.\n","        x = self.preprocess(self.node_features)\n","        # Apply the first graph conv layer.\n","        x1 = self.conv1((x, self.edges, self.edge_weights))\n","        # Skip connection.\n","        x = x1 + x\n","        # Apply the second graph conv layer.\n","        x2 = self.conv2((x, self.edges, self.edge_weights))\n","        # Skip connection.\n","        x = x2 + x\n","        # Postprocess node embedding.\n","        x = self.postprocess(x)\n","        # Fetch node embeddings for the input node_indices.\n","        node_embeddings = tf.gather(x, input_node_indices)\n","        # Compute logits\n","        return self.compute_logits(node_embeddings)"],"metadata":{"id":"M02KRECURx4B","executionInfo":{"status":"ok","timestamp":1703147205045,"user_tz":-420,"elapsed":2,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":121,"outputs":[]},{"cell_type":"code","source":["\n","def run_experiment(model, x_train, y_train):\n","    # Compile the model.\n","    model.compile(\n","        optimizer=keras.optimizers.Adam(learning_rate),\n","        loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n","        metrics=[keras.metrics.SparseCategoricalAccuracy(name=\"acc\")],\n","    )\n","    # Create an early stopping callback.\n","    early_stopping = keras.callbacks.EarlyStopping(\n","        monitor=\"val_acc\", patience=20, restore_best_weights=True\n","    )\n","    # Fit the model.\n","    history = model.fit(\n","        x=x_train,\n","        y=y_train,\n","        epochs=num_epochs,\n","        batch_size=batch_size,\n","        validation_split=0.15,\n","        callbacks=[early_stopping],\n","    )\n","\n","    return history"],"metadata":{"id":"nOhfGZcfSAZd","executionInfo":{"status":"ok","timestamp":1703147206146,"user_tz":-420,"elapsed":2,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":122,"outputs":[]},{"cell_type":"code","source":["\n","import pandas as pd\n","from itertools import combinations\n","\n","def create_group(feature, df, id):\n","  #df: Dataframe; feature: truong dung de group by\n","\n","  # Groupby 'class_id' và tạo dataframe mới từ cặp chỉ số\n","  grouped = df.groupby(feature)[id].apply(list)\n","\n","  # Tạo set để theo dõi các cặp chỉ số đã xuất hiện\n","  seen_pairs = set()\n","\n","  # Tạo dataframe mới từ danh sách các cặp chỉ số và áp dụng điều kiện\n","  df_new = pd.DataFrame(columns=['index source', 'index target'])\n","  for indices in grouped.values:\n","      pairs = list(combinations(indices, 2))\n","      for pair in pairs:\n","          index_source, index_target = pair\n","          if index_source != index_target:\n","              sorted_pair = tuple(sorted(pair))\n","              if sorted_pair not in seen_pairs:\n","                  seen_pairs.add(sorted_pair)\n","                  df_new = df_new.append({'index source': index_source, 'index target': index_target}, ignore_index=True)\n","\n","  # Hiển thị dataframe mới\n","  return df_new\n","\n","# df_new = create_group('Disease', train, 'index')\n","# df_new.to_csv('egde_user_user.csv', index = False)"],"metadata":{"id":"iYVRpiEMSCqG","executionInfo":{"status":"ok","timestamp":1703147207447,"user_tz":-420,"elapsed":3,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":123,"outputs":[]},{"cell_type":"code","source":["df_new = pd.read_csv('/content/egde_user_user.csv')\n","df_new.head(10)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"id":"NwWaFNnIT0fE","executionInfo":{"status":"ok","timestamp":1703147209855,"user_tz":-420,"elapsed":7,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"936e74a8-caa1-4be6-e43f-7d1c4fefe65c"},"execution_count":124,"outputs":[{"output_type":"execute_result","data":{"text/plain":["   index source  index target\n","0          2000          4013\n","1          2000           773\n","2          2000           362\n","3          2000          3685\n","4          2000          3644\n","5          2000          3767\n","6          2000          4546\n","7          2000           367\n","8          2000          3111\n","9          2000          2742"],"text/html":["\n","  <div id=\"df-deae5308-b538-4fe6-a563-dab7820fd6b3\" 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>index source</th>\n","      <th>index target</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2000</td>\n","      <td>4013</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2000</td>\n","      <td>773</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2000</td>\n","      <td>362</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2000</td>\n","      <td>3685</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2000</td>\n","      <td>3644</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>2000</td>\n","      <td>3767</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>2000</td>\n","      <td>4546</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>2000</td>\n","      <td>367</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>2000</td>\n","      <td>3111</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>2000</td>\n","      <td>2742</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-deae5308-b538-4fe6-a563-dab7820fd6b3')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-deae5308-b538-4fe6-a563-dab7820fd6b3 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-deae5308-b538-4fe6-a563-dab7820fd6b3');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-d036b2e6-cf95-4277-a31d-adee686cbd0c\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d036b2e6-cf95-4277-a31d-adee686cbd0c')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-d036b2e6-cf95-4277-a31d-adee686cbd0c button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":124}]},{"cell_type":"code","source":[],"metadata":{"id":"Im8nW5vWRsmT","executionInfo":{"status":"ok","timestamp":1703147212278,"user_tz":-420,"elapsed":3,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":124,"outputs":[]},{"cell_type":"code","source":["def create_graph_info(df_edge, df_feature):\n","  # Create an edges array (sparse adjacency matrix) of shape [2, num_edges].\n","  edges = df_edge[['index source', 'index target']].to_numpy().T\n","  # Create an edge weights array of ones.\n","  edge_weights = tf.ones(shape=edges.shape[1])\n","  # Create a node features array of shape [num_nodes, num_features].\n","  node_features = tf.cast(\n","      df_feature[feature_names].to_numpy(), dtype=tf.dtypes.float32\n","  )\n","  # Create graph info tuple with node_features, edges, and edge_weights.\n","  graph_info = (node_features, np.asarray(edges).astype('int32'), edge_weights)\n","\n","  print(\"Edges shape:\", edges.shape)\n","  print(\"Nodes shape:\", node_features.shape)\n","  return graph_info\n",""],"metadata":{"id":"AdbPTyFsTkeG","executionInfo":{"status":"ok","timestamp":1703147212278,"user_tz":-420,"elapsed":2,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":125,"outputs":[]},{"cell_type":"code","source":["### Plot train and validation curves\n","def plot(historys):\n","  history = historys.history\n","  loss = history['loss']\n","  v_loss = history['val_loss']\n","\n","  acc = history['acc']\n","  v_acc = history['val_acc']\n","\n","  epochs = range(len(loss))\n","\n","  fig = plt.figure(figsize=(12, 4))\n","  plt.subplot(1, 3, 1)\n","  plt.yscale('log')\n","  plt.plot(epochs, loss, linestyle='--', linewidth=3, color='orange', alpha=0.7, label='Train Loss')\n","  plt.plot(epochs, v_loss, linestyle='-.', linewidth=2, color='lime', alpha=0.8, label='Valid Loss')\n","  # plt.ylim(0.3, 100)\n","  plt.xlabel('Epochs', fontsize=11)\n","  plt.ylabel('Loss', fontsize=12)\n","  plt.legend(fontsize=12)\n","  plt.subplot(1, 3, 2)\n","  plt.plot(epochs, acc, linestyle='--', linewidth=3, color='orange', alpha=0.7, label='Train Acc')\n","  plt.plot(epochs, v_acc, linestyle='-.', linewidth=2, color='lime', alpha=0.8, label='Valid Acc')\n","  plt.xlabel('Epochs', fontsize=11)\n","  plt.ylabel('Accuracy', fontsize=12)\n","\n","  plt.legend(fontsize=12)\n","  plt.tight_layout()\n","  plt.show()"],"metadata":{"id":"-83r2uRWO_8m","executionInfo":{"status":"ok","timestamp":1703147212278,"user_tz":-420,"elapsed":2,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":126,"outputs":[]},{"cell_type":"markdown","source":["# Strategy 1: User and User"],"metadata":{"id":"acPTc1f_PvWM"}},{"cell_type":"code","source":["graph_info = create_graph_info(df_new, df)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HrCskBkrPDug","executionInfo":{"status":"ok","timestamp":1703147212600,"user_tz":-420,"elapsed":2,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"5395a3bd-0db4-4ac4-b533-18f4f6e8bbef"},"execution_count":127,"outputs":[{"output_type":"stream","name":"stdout","text":["Edges shape: (2, 187262)\n","Nodes shape: (4920, 16)\n"]}]},{"cell_type":"code","source":["gnn_model = GNNNodeClassifier(\n","    graph_info=graph_info,\n","    num_classes=num_classes,\n","    hidden_units=hidden_units,\n","    dropout_rate=dropout_rate,\n","    aggregation_type=\"mean\",\n","    combination_type=\"gru\",\n","    name=\"gnn_model\",\n",")\n","\n","print(\"GNN output shape:\", gnn_model([1, 10, 100]))\n","\n","gnn_model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HtI2mrmiP2iO","executionInfo":{"status":"ok","timestamp":1703147214373,"user_tz":-420,"elapsed":340,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"9a56061f-c044-4222-cde1-570953eb555f"},"execution_count":128,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Layer gru_6 will not use cuDNN kernels since it doesn't meet the criteria. It will use a generic GPU kernel as fallback when running on GPU.\n","WARNING:tensorflow:Layer gru_7 will not use cuDNN kernels since it doesn't meet the criteria. It will use a generic GPU kernel as fallback when running on GPU.\n"]},{"output_type":"stream","name":"stdout","text":["GNN output shape: tf.Tensor(\n","[[0.02446737 0.02268973 0.02141699 0.02470642 0.0241987  0.02647363\n","  0.02436801 0.02376984 0.02199912 0.0254692  0.02407684 0.02398218\n","  0.02674655 0.02293176 0.02560441 0.02440039 0.02744246 0.02308736\n","  0.02423389 0.02530393 0.02536998 0.02537508 0.02335488 0.0229847\n","  0.02349494 0.02594034 0.02381265 0.0229418  0.02429811 0.02285796\n","  0.0241207  0.02310106 0.0244117  0.02446468 0.024057   0.02570018\n","  0.02613507 0.02805691 0.02547659 0.02367786 0.022999  ]\n"," [0.02333642 0.02336828 0.0206732  0.0232727  0.02450515 0.02972879\n","  0.02402451 0.02267845 0.02270354 0.02463041 0.02590413 0.0212315\n","  0.0264752  0.02391285 0.02307164 0.02576825 0.02255495 0.02197297\n","  0.02816098 0.02544551 0.02507423 0.02624717 0.02483363 0.02008928\n","  0.02658384 0.03041459 0.02017872 0.01968959 0.02124189 0.02538349\n","  0.02187704 0.02107628 0.02676107 0.02104288 0.02515223 0.03353984\n","  0.02429348 0.02739753 0.02720065 0.02383766 0.02466545]\n"," [0.02628199 0.0226353  0.02054356 0.02753544 0.02316535 0.02993995\n","  0.02313693 0.020713   0.0188553  0.02437668 0.02445275 0.02403314\n","  0.02754418 0.02264333 0.02660389 0.02403182 0.02286573 0.01791359\n","  0.02924156 0.02597035 0.02652183 0.02477426 0.02326741 0.02374532\n","  0.02476414 0.03352086 0.02203119 0.01869789 0.02052592 0.02638678\n","  0.02064556 0.02253213 0.02924213 0.01957142 0.02660692 0.03359977\n","  0.02402902 0.0239785  0.02482708 0.02456534 0.02368277]], shape=(3, 41), dtype=float32)\n","Model: \"gnn_model\"\n","_________________________________________________________________\n"," Layer (type)                Output Shape              Param #   \n","=================================================================\n"," preprocess (Sequential)     (4920, 32)                3488      \n","                                                                 \n"," graph_conv1 (GraphConvLaye  multiple                  10912     \n"," r)                                                              \n","                                                                 \n"," graph_conv2 (GraphConvLaye  multiple                  10912     \n"," r)                                                              \n","                                                                 \n"," postprocess (Sequential)    (4920, 32)                4576      \n","                                                                 \n"," logits (Dense)              multiple                  1353      \n","                                                                 \n","=================================================================\n","Total params: 31241 (122.04 KB)\n","Trainable params: 30505 (119.16 KB)\n","Non-trainable params: 736 (2.88 KB)\n","_________________________________________________________________\n"]}]},{"cell_type":"code","source":["x_train = train.index.to_numpy()\n","history1 = run_experiment(gnn_model, x_train, train.Disease)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"qQ5DtdAhP4H7","executionInfo":{"status":"ok","timestamp":1703144968101,"user_tz":-420,"elapsed":77352,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"fb8934d6-4588-4ace-e5a5-ebdfd4be64b6"},"execution_count":50,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/300\n","14/14 [==============================] - 21s 158ms/step - loss: 2.5899 - acc: 0.3118 - val_loss: 4.2745 - val_acc: 0.0457\n","Epoch 2/300\n","14/14 [==============================] - 1s 77ms/step - loss: 1.2769 - acc: 0.6030 - val_loss: 4.8825 - val_acc: 0.0829\n","Epoch 3/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.9281 - acc: 0.7109 - val_loss: 5.2081 - val_acc: 0.1100\n","Epoch 4/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.8493 - acc: 0.7321 - val_loss: 5.4684 - val_acc: 0.1506\n","Epoch 5/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.8254 - acc: 0.7423 - val_loss: 6.1760 - val_acc: 0.1540\n","Epoch 6/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.7263 - acc: 0.7662 - val_loss: 5.3960 - val_acc: 0.2081\n","Epoch 7/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.6721 - acc: 0.7854 - val_loss: 4.5213 - val_acc: 0.2098\n","Epoch 8/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.6719 - acc: 0.7752 - val_loss: 3.3668 - val_acc: 0.2758\n","Epoch 9/300\n","14/14 [==============================] - 1s 82ms/step - loss: 0.6329 - acc: 0.7928 - val_loss: 2.5318 - val_acc: 0.3519\n","Epoch 10/300\n","14/14 [==============================] - 1s 85ms/step - loss: 0.5957 - acc: 0.8132 - val_loss: 2.1994 - val_acc: 0.4179\n","Epoch 11/300\n","14/14 [==============================] - 1s 83ms/step - loss: 0.5628 - acc: 0.8081 - val_loss: 1.6836 - val_acc: 0.5025\n","Epoch 12/300\n","14/14 [==============================] - 1s 82ms/step - loss: 0.5358 - acc: 0.8230 - val_loss: 1.3672 - val_acc: 0.6024\n","Epoch 13/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.5628 - acc: 0.8152 - val_loss: 0.9308 - val_acc: 0.7090\n","Epoch 14/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.5146 - acc: 0.8251 - val_loss: 0.7358 - val_acc: 0.7496\n","Epoch 15/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.5412 - acc: 0.8149 - val_loss: 0.5535 - val_acc: 0.7868\n","Epoch 16/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.5073 - acc: 0.8251 - val_loss: 0.3214 - val_acc: 0.8748\n","Epoch 17/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.5077 - acc: 0.8269 - val_loss: 0.3814 - val_acc: 0.8528\n","Epoch 18/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.5256 - acc: 0.8242 - val_loss: 0.3876 - val_acc: 0.8545\n","Epoch 19/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.5568 - acc: 0.8155 - val_loss: 0.2587 - val_acc: 0.9171\n","Epoch 20/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.4980 - acc: 0.8299 - val_loss: 0.2114 - val_acc: 0.9272\n","Epoch 21/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.4943 - acc: 0.8305 - val_loss: 0.2011 - val_acc: 0.9340\n","Epoch 22/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.4826 - acc: 0.8389 - val_loss: 0.1591 - val_acc: 0.9340\n","Epoch 23/300\n","14/14 [==============================] - 1s 84ms/step - loss: 0.4767 - acc: 0.8398 - val_loss: 0.2161 - val_acc: 0.9357\n","Epoch 24/300\n","14/14 [==============================] - 1s 84ms/step - loss: 0.4901 - acc: 0.8419 - val_loss: 0.1929 - val_acc: 0.9323\n","Epoch 25/300\n","14/14 [==============================] - 1s 83ms/step - loss: 0.4450 - acc: 0.8481 - val_loss: 0.1801 - val_acc: 0.9289\n","Epoch 26/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.4061 - acc: 0.8628 - val_loss: 0.1860 - val_acc: 0.9323\n","Epoch 27/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.4519 - acc: 0.8526 - val_loss: 0.1396 - val_acc: 0.9492\n","Epoch 28/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.3828 - acc: 0.8601 - val_loss: 0.1419 - val_acc: 0.9459\n","Epoch 29/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.4167 - acc: 0.8514 - val_loss: 0.1449 - val_acc: 0.9408\n","Epoch 30/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.4513 - acc: 0.8493 - val_loss: 0.1569 - val_acc: 0.9425\n","Epoch 31/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.4266 - acc: 0.8502 - val_loss: 0.1647 - val_acc: 0.9289\n","Epoch 32/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.4582 - acc: 0.8395 - val_loss: 0.1334 - val_acc: 0.9509\n","Epoch 33/300\n","14/14 [==============================] - 1s 75ms/step - loss: 0.4275 - acc: 0.8514 - val_loss: 0.1638 - val_acc: 0.9323\n","Epoch 34/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.4251 - acc: 0.8538 - val_loss: 0.1560 - val_acc: 0.9475\n","Epoch 35/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.4138 - acc: 0.8568 - val_loss: 0.1378 - val_acc: 0.9425\n","Epoch 36/300\n","14/14 [==============================] - 1s 82ms/step - loss: 0.4015 - acc: 0.8610 - val_loss: 0.1282 - val_acc: 0.9509\n","Epoch 37/300\n","14/14 [==============================] - 1s 81ms/step - loss: 0.3668 - acc: 0.8697 - val_loss: 0.1262 - val_acc: 0.9475\n","Epoch 38/300\n","14/14 [==============================] - 1s 82ms/step - loss: 0.4379 - acc: 0.8544 - val_loss: 0.1455 - val_acc: 0.9442\n","Epoch 39/300\n","14/14 [==============================] - 1s 82ms/step - loss: 0.4506 - acc: 0.8401 - val_loss: 0.1444 - val_acc: 0.9442\n","Epoch 40/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.4275 - acc: 0.8526 - val_loss: 0.1711 - val_acc: 0.9391\n","Epoch 41/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.4787 - acc: 0.8368 - val_loss: 0.1749 - val_acc: 0.9255\n","Epoch 42/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.4595 - acc: 0.8451 - val_loss: 0.1594 - val_acc: 0.9442\n","Epoch 43/300\n","14/14 [==============================] - 1s 75ms/step - loss: 0.4023 - acc: 0.8571 - val_loss: 0.1498 - val_acc: 0.9306\n","Epoch 44/300\n","14/14 [==============================] - 1s 75ms/step - loss: 0.4076 - acc: 0.8610 - val_loss: 0.1528 - val_acc: 0.9306\n","Epoch 45/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.3963 - acc: 0.8598 - val_loss: 0.1314 - val_acc: 0.9408\n","Epoch 46/300\n","14/14 [==============================] - 1s 75ms/step - loss: 0.3941 - acc: 0.8643 - val_loss: 0.1422 - val_acc: 0.9475\n","Epoch 47/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.4111 - acc: 0.8634 - val_loss: 0.1493 - val_acc: 0.9509\n","Epoch 48/300\n","14/14 [==============================] - 1s 76ms/step - loss: 0.4235 - acc: 0.8589 - val_loss: 0.1430 - val_acc: 0.9425\n","Epoch 49/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.4086 - acc: 0.8562 - val_loss: 0.1534 - val_acc: 0.9492\n","Epoch 50/300\n","14/14 [==============================] - 1s 81ms/step - loss: 0.4086 - acc: 0.8589 - val_loss: 0.1503 - val_acc: 0.9459\n","Epoch 51/300\n","14/14 [==============================] - 1s 83ms/step - loss: 0.3658 - acc: 0.8697 - val_loss: 0.1521 - val_acc: 0.9374\n","Epoch 52/300\n","14/14 [==============================] - 1s 84ms/step - loss: 0.3475 - acc: 0.8759 - val_loss: 0.1309 - val_acc: 0.9408\n"]}]},{"cell_type":"code","source":["\n","y_pred = gnn_model.predict(test.index.to_numpy())\n","print(classification_report(np.argmax(y_pred, axis = 1), test.Disease))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bGBo7OOnQ0Pj","executionInfo":{"status":"ok","timestamp":1703144986609,"user_tz":-420,"elapsed":18524,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"0b5561a7-d102-455c-a0ae-a55e597ae0b5"},"execution_count":51,"outputs":[{"output_type":"stream","name":"stdout","text":["31/31 [==============================] - 1s 16ms/step\n","              precision    recall  f1-score   support\n","\n","           0       1.00      1.00      1.00        33\n","           1       1.00      1.00      1.00        23\n","           2       1.00      1.00      1.00        23\n","           3       0.89      1.00      0.94        17\n","           4       1.00      0.84      0.91        31\n","           5       1.00      1.00      1.00        22\n","           6       0.95      0.91      0.93        23\n","           7       0.93      1.00      0.96        25\n","           8       1.00      1.00      1.00        20\n","           9       0.90      1.00      0.95        18\n","          10       1.00      1.00      1.00        20\n","          11       1.00      1.00      1.00        31\n","          12       1.00      1.00      1.00        25\n","          13       0.96      1.00      0.98        27\n","          14       1.00      0.95      0.98        22\n","          15       0.61      0.30      0.40        37\n","          16       1.00      1.00      1.00        23\n","          17       0.00      0.00      0.00         0\n","          18       0.96      1.00      0.98        25\n","          19       1.00      1.00      1.00        26\n","          20       1.00      0.85      0.92        34\n","          21       1.00      1.00      1.00        22\n","          22       1.00      1.00      1.00        28\n","          23       1.00      0.92      0.96        25\n","          24       1.00      1.00      1.00        25\n","          25       1.00      1.00      1.00        21\n","          26       1.00      1.00      1.00        25\n","          27       1.00      1.00      1.00        16\n","          28       1.00      1.00      1.00        25\n","          29       1.00      1.00      1.00        22\n","          30       1.00      1.00      1.00        22\n","          31       1.00      1.00      1.00        30\n","          32       0.91      0.95      0.93        21\n","          33       0.87      0.95      0.91        21\n","          34       1.00      1.00      1.00        25\n","          35       1.00      1.00      1.00        21\n","          36       1.00      1.00      1.00        22\n","          37       1.00      1.00      1.00        23\n","          38       1.00      0.79      0.88        28\n","          39       1.00      1.00      1.00        23\n","          40       1.00      1.00      1.00        34\n","\n","    accuracy                           0.95       984\n","   macro avg       0.95      0.94      0.94       984\n","weighted avg       0.97      0.95      0.96       984\n","\n"]}]},{"cell_type":"code","source":["plot(history1)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":401},"id":"kVEl3K3aSmpZ","executionInfo":{"status":"ok","timestamp":1703144987701,"user_tz":-420,"elapsed":1094,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"da4e39fa-4fb2-43ea-b4f7-f64c346aedd6"},"execution_count":52,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x400 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# Strategy 2: User - User - Symptomp"],"metadata":{"id":"g8fO4K3OUd8I"}},{"cell_type":"code","source":["from itertools import product\n","grouped = df.groupby(['Symptom_1', 'Symptom_2'])['index'].apply(list)\n","# Tạo danh sách các cặp chỉ số\n","pairs = []\n","for indices in grouped.values:\n","    pairs.extend(list(product(indices, repeat=2)))\n","\n","# Tạo dataframe mới từ danh sách các cặp chỉ số\n","df_new2 = pd.DataFrame(pairs, columns=['index source', 'index target'])\n","\n","df_new = pd.concat([df_new, df_new2], axis = 0)\n","\n","graph_info_new = create_graph_info(df_new, df)\n","\n","gnn_model_2 = GNNNodeClassifier(\n","    graph_info=graph_info_new,\n","    num_classes=num_classes,\n","    hidden_units=hidden_units,\n","    dropout_rate=dropout_rate,\n","    aggregation_type=\"sum\",\n","    combination_type=\"concat\",\n","    name=\"gnn_model\",\n",")\n","\n","print(\"GNN output shape:\", gnn_model_2([1, 10, 100]))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"CtOpUtl8T1gL","executionInfo":{"status":"ok","timestamp":1703147223571,"user_tz":-420,"elapsed":3743,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"9596d9bb-85a7-42d5-fd00-08e998cf9ea3"},"execution_count":129,"outputs":[{"output_type":"stream","name":"stdout","text":["Edges shape: (2, 2297726)\n","Nodes shape: (4920, 16)\n","GNN output shape: tf.Tensor(\n","[[0.03076059 0.02619335 0.02431512 0.02229076 0.02252753 0.0290672\n","  0.03192221 0.0159295  0.0287428  0.02347094 0.01608931 0.02614111\n","  0.02862142 0.02988488 0.0223078  0.01086794 0.02347028 0.03002437\n","  0.02286969 0.02368042 0.04386742 0.02745651 0.01519996 0.02232856\n","  0.01793146 0.02144726 0.02287562 0.01814845 0.03242369 0.01923092\n","  0.03430893 0.02040116 0.0292277  0.02812225 0.01868732 0.02276075\n","  0.01318165 0.024971   0.03118738 0.02189979 0.025165  ]\n"," [0.03021025 0.02954155 0.02207864 0.02566676 0.02294764 0.03069226\n","  0.02912614 0.01652013 0.02412677 0.02394073 0.01592711 0.0288745\n","  0.02884134 0.02452992 0.0218173  0.01185746 0.02544453 0.02715174\n","  0.02963899 0.02339747 0.04204105 0.02369451 0.01830015 0.02313844\n","  0.01956005 0.02235521 0.02162184 0.02016168 0.02985836 0.02104672\n","  0.03256148 0.02141327 0.0260436  0.02486301 0.02112106 0.02067794\n","  0.01377649 0.02526453 0.03357955 0.02032958 0.02626035]\n"," [0.02619486 0.03088043 0.02753176 0.02272238 0.01824491 0.03493477\n","  0.02511839 0.0133989  0.0226016  0.02302972 0.01519943 0.02823201\n","  0.03052215 0.02890332 0.02032126 0.0077196  0.02220204 0.03405076\n","  0.03217654 0.01845203 0.0599376  0.02813623 0.01637951 0.02061295\n","  0.0175805  0.01952478 0.02673178 0.0130142  0.03326974 0.01961424\n","  0.03465008 0.01906675 0.02614328 0.02197371 0.0207829  0.0192726\n","  0.01244967 0.02643271 0.03814015 0.02384939 0.02000035]], shape=(3, 41), dtype=float32)\n"]}]},{"cell_type":"code","source":["x_train = train.index.to_numpy()\n","history2 = run_experiment(gnn_model_2, x_train, train.Disease)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"9pl39qlqUuMm","executionInfo":{"status":"ok","timestamp":1703145817263,"user_tz":-420,"elapsed":825701,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"dc65031b-3961-48f6-e459-1ed7d7c368b0"},"execution_count":54,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/300\n","14/14 [==============================] - 24s 822ms/step - loss: 2.7191 - acc: 0.2885 - val_loss: 3.3701 - val_acc: 0.1777\n","Epoch 2/300\n","14/14 [==============================] - 10s 737ms/step - loss: 1.3582 - acc: 0.5680 - val_loss: 3.6885 - val_acc: 0.1861\n","Epoch 3/300\n","14/14 [==============================] - 10s 738ms/step - loss: 0.9647 - acc: 0.7010 - val_loss: 4.2440 - val_acc: 0.1980\n","Epoch 4/300\n","14/14 [==============================] - 10s 738ms/step - loss: 0.8312 - acc: 0.7297 - val_loss: 4.1857 - val_acc: 0.1760\n","Epoch 5/300\n","14/14 [==============================] - 10s 723ms/step - loss: 0.7258 - acc: 0.7614 - val_loss: 5.4684 - val_acc: 0.1980\n","Epoch 6/300\n","14/14 [==============================] - 10s 722ms/step - loss: 0.6605 - acc: 0.7854 - val_loss: 4.8160 - val_acc: 0.1794\n","Epoch 7/300\n","14/14 [==============================] - 10s 734ms/step - loss: 0.6264 - acc: 0.8003 - val_loss: 4.0963 - val_acc: 0.2487\n","Epoch 8/300\n","14/14 [==============================] - 10s 722ms/step - loss: 0.5224 - acc: 0.8257 - val_loss: 3.2701 - val_acc: 0.2809\n","Epoch 9/300\n","14/14 [==============================] - 10s 723ms/step - loss: 0.4882 - acc: 0.8425 - val_loss: 2.9208 - val_acc: 0.3503\n","Epoch 10/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.4508 - acc: 0.8556 - val_loss: 1.9596 - val_acc: 0.4416\n","Epoch 11/300\n","14/14 [==============================] - 10s 734ms/step - loss: 0.3943 - acc: 0.8735 - val_loss: 1.7155 - val_acc: 0.5110\n","Epoch 12/300\n","14/14 [==============================] - 10s 722ms/step - loss: 0.3672 - acc: 0.8771 - val_loss: 1.3713 - val_acc: 0.5736\n","Epoch 13/300\n","14/14 [==============================] - 10s 735ms/step - loss: 0.4091 - acc: 0.8714 - val_loss: 1.3529 - val_acc: 0.6007\n","Epoch 14/300\n","14/14 [==============================] - 10s 722ms/step - loss: 0.4435 - acc: 0.8625 - val_loss: 1.3868 - val_acc: 0.6261\n","Epoch 15/300\n","14/14 [==============================] - 10s 736ms/step - loss: 0.3432 - acc: 0.8915 - val_loss: 1.2036 - val_acc: 0.6311\n","Epoch 16/300\n","14/14 [==============================] - 10s 736ms/step - loss: 0.3087 - acc: 0.9031 - val_loss: 0.7890 - val_acc: 0.7242\n","Epoch 17/300\n","14/14 [==============================] - 10s 734ms/step - loss: 0.3070 - acc: 0.9013 - val_loss: 0.6393 - val_acc: 0.7699\n","Epoch 18/300\n","14/14 [==============================] - 10s 736ms/step - loss: 0.2820 - acc: 0.9106 - val_loss: 0.5862 - val_acc: 0.7868\n","Epoch 19/300\n","14/14 [==============================] - 10s 737ms/step - loss: 0.2756 - acc: 0.9130 - val_loss: 0.7620 - val_acc: 0.7885\n","Epoch 20/300\n","14/14 [==============================] - 10s 732ms/step - loss: 0.2701 - acc: 0.9169 - val_loss: 0.6156 - val_acc: 0.7665\n","Epoch 21/300\n","14/14 [==============================] - 10s 721ms/step - loss: 0.2860 - acc: 0.9184 - val_loss: 0.9004 - val_acc: 0.7242\n","Epoch 22/300\n","14/14 [==============================] - 10s 720ms/step - loss: 0.2752 - acc: 0.9178 - val_loss: 0.6627 - val_acc: 0.7868\n","Epoch 23/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.2361 - acc: 0.9181 - val_loss: 0.9563 - val_acc: 0.7191\n","Epoch 24/300\n","14/14 [==============================] - 10s 734ms/step - loss: 0.1859 - acc: 0.9420 - val_loss: 0.9031 - val_acc: 0.7411\n","Epoch 25/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.1874 - acc: 0.9399 - val_loss: 1.0126 - val_acc: 0.7259\n","Epoch 26/300\n","14/14 [==============================] - 10s 735ms/step - loss: 0.2088 - acc: 0.9357 - val_loss: 0.9843 - val_acc: 0.7445\n","Epoch 27/300\n","14/14 [==============================] - 10s 720ms/step - loss: 0.2080 - acc: 0.9286 - val_loss: 1.2247 - val_acc: 0.7022\n","Epoch 28/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.1811 - acc: 0.9432 - val_loss: 0.7284 - val_acc: 0.7834\n","Epoch 29/300\n","14/14 [==============================] - 10s 734ms/step - loss: 0.2173 - acc: 0.9300 - val_loss: 0.8626 - val_acc: 0.7631\n","Epoch 30/300\n","14/14 [==============================] - 10s 719ms/step - loss: 0.2342 - acc: 0.9300 - val_loss: 0.8548 - val_acc: 0.7699\n","Epoch 31/300\n","14/14 [==============================] - 10s 722ms/step - loss: 0.2387 - acc: 0.9253 - val_loss: 0.7513 - val_acc: 0.8105\n","Epoch 32/300\n","14/14 [==============================] - 10s 735ms/step - loss: 0.2180 - acc: 0.9286 - val_loss: 0.6266 - val_acc: 0.8325\n","Epoch 33/300\n","14/14 [==============================] - 10s 721ms/step - loss: 0.1673 - acc: 0.9429 - val_loss: 0.7883 - val_acc: 0.8190\n","Epoch 34/300\n","14/14 [==============================] - 10s 720ms/step - loss: 0.1755 - acc: 0.9411 - val_loss: 0.6609 - val_acc: 0.7902\n","Epoch 35/300\n","14/14 [==============================] - 10s 721ms/step - loss: 0.1783 - acc: 0.9393 - val_loss: 0.7994 - val_acc: 0.8071\n","Epoch 36/300\n","14/14 [==============================] - 10s 722ms/step - loss: 0.2400 - acc: 0.9268 - val_loss: 0.9139 - val_acc: 0.7986\n","Epoch 37/300\n","14/14 [==============================] - 10s 720ms/step - loss: 0.1909 - acc: 0.9330 - val_loss: 0.9962 - val_acc: 0.7462\n","Epoch 38/300\n","14/14 [==============================] - 10s 720ms/step - loss: 0.1513 - acc: 0.9501 - val_loss: 0.7303 - val_acc: 0.7986\n","Epoch 39/300\n","14/14 [==============================] - 10s 721ms/step - loss: 0.1637 - acc: 0.9441 - val_loss: 0.7468 - val_acc: 0.8037\n","Epoch 40/300\n","14/14 [==============================] - 10s 719ms/step - loss: 0.1504 - acc: 0.9498 - val_loss: 0.8438 - val_acc: 0.8223\n","Epoch 41/300\n","14/14 [==============================] - 10s 720ms/step - loss: 0.1579 - acc: 0.9462 - val_loss: 0.5976 - val_acc: 0.8325\n","Epoch 42/300\n","14/14 [==============================] - 10s 723ms/step - loss: 0.1557 - acc: 0.9483 - val_loss: 0.5800 - val_acc: 0.8342\n","Epoch 43/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.1493 - acc: 0.9552 - val_loss: 0.4875 - val_acc: 0.8866\n","Epoch 44/300\n","14/14 [==============================] - 10s 722ms/step - loss: 0.1435 - acc: 0.9474 - val_loss: 0.4090 - val_acc: 0.8832\n","Epoch 45/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.1313 - acc: 0.9584 - val_loss: 0.4464 - val_acc: 0.8511\n","Epoch 46/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.1481 - acc: 0.9543 - val_loss: 0.0759 - val_acc: 0.9695\n","Epoch 47/300\n","14/14 [==============================] - 10s 720ms/step - loss: 0.1265 - acc: 0.9561 - val_loss: 0.1492 - val_acc: 0.9526\n","Epoch 48/300\n","14/14 [==============================] - 10s 722ms/step - loss: 0.1391 - acc: 0.9522 - val_loss: 0.1400 - val_acc: 0.9459\n","Epoch 49/300\n","14/14 [==============================] - 10s 721ms/step - loss: 0.1394 - acc: 0.9525 - val_loss: 0.0647 - val_acc: 0.9746\n","Epoch 50/300\n","14/14 [==============================] - 10s 735ms/step - loss: 0.1167 - acc: 0.9608 - val_loss: 0.0519 - val_acc: 0.9865\n","Epoch 51/300\n","14/14 [==============================] - 10s 723ms/step - loss: 0.1247 - acc: 0.9537 - val_loss: 0.0408 - val_acc: 0.9882\n","Epoch 52/300\n","14/14 [==============================] - 10s 721ms/step - loss: 0.1107 - acc: 0.9662 - val_loss: 0.0518 - val_acc: 0.9848\n","Epoch 53/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.1166 - acc: 0.9629 - val_loss: 0.0685 - val_acc: 0.9729\n","Epoch 54/300\n","14/14 [==============================] - 10s 735ms/step - loss: 0.1361 - acc: 0.9552 - val_loss: 0.0307 - val_acc: 0.9898\n","Epoch 55/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.1146 - acc: 0.9638 - val_loss: 0.0535 - val_acc: 0.9814\n","Epoch 56/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.0895 - acc: 0.9701 - val_loss: 0.0377 - val_acc: 0.9898\n","Epoch 57/300\n","14/14 [==============================] - 10s 722ms/step - loss: 0.1195 - acc: 0.9596 - val_loss: 0.0451 - val_acc: 0.9848\n","Epoch 58/300\n","14/14 [==============================] - 10s 734ms/step - loss: 0.1219 - acc: 0.9614 - val_loss: 0.0475 - val_acc: 0.9882\n","Epoch 59/300\n","14/14 [==============================] - 10s 719ms/step - loss: 0.1421 - acc: 0.9599 - val_loss: 0.0553 - val_acc: 0.9831\n","Epoch 60/300\n","14/14 [==============================] - 10s 722ms/step - loss: 0.1189 - acc: 0.9596 - val_loss: 0.0304 - val_acc: 0.9932\n","Epoch 61/300\n","14/14 [==============================] - 10s 735ms/step - loss: 0.1027 - acc: 0.9695 - val_loss: 0.1174 - val_acc: 0.9577\n","Epoch 62/300\n","14/14 [==============================] - 10s 732ms/step - loss: 0.0951 - acc: 0.9704 - val_loss: 0.0807 - val_acc: 0.9611\n","Epoch 63/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.0881 - acc: 0.9737 - val_loss: 0.0640 - val_acc: 0.9814\n","Epoch 64/300\n","14/14 [==============================] - 10s 721ms/step - loss: 0.0875 - acc: 0.9719 - val_loss: 0.0476 - val_acc: 0.9848\n","Epoch 65/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.1022 - acc: 0.9704 - val_loss: 0.0489 - val_acc: 0.9645\n","Epoch 66/300\n","14/14 [==============================] - 10s 719ms/step - loss: 0.1256 - acc: 0.9632 - val_loss: 0.0612 - val_acc: 0.9729\n","Epoch 67/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.0990 - acc: 0.9701 - val_loss: 0.1188 - val_acc: 0.9577\n","Epoch 68/300\n","14/14 [==============================] - 10s 734ms/step - loss: 0.1000 - acc: 0.9680 - val_loss: 0.0331 - val_acc: 0.9898\n","Epoch 69/300\n","14/14 [==============================] - 10s 719ms/step - loss: 0.1023 - acc: 0.9677 - val_loss: 0.0315 - val_acc: 0.9848\n","Epoch 70/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.0853 - acc: 0.9734 - val_loss: 0.0452 - val_acc: 0.9831\n","Epoch 71/300\n","14/14 [==============================] - 10s 721ms/step - loss: 0.0938 - acc: 0.9704 - val_loss: 0.0658 - val_acc: 0.9628\n","Epoch 72/300\n","14/14 [==============================] - 10s 722ms/step - loss: 0.0847 - acc: 0.9719 - val_loss: 0.0518 - val_acc: 0.9763\n","Epoch 73/300\n","14/14 [==============================] - 10s 720ms/step - loss: 0.0878 - acc: 0.9710 - val_loss: 0.0376 - val_acc: 0.9780\n","Epoch 74/300\n","14/14 [==============================] - 10s 732ms/step - loss: 0.0936 - acc: 0.9761 - val_loss: 0.1780 - val_acc: 0.9442\n","Epoch 75/300\n","14/14 [==============================] - 10s 721ms/step - loss: 0.1055 - acc: 0.9668 - val_loss: 0.0652 - val_acc: 0.9746\n","Epoch 76/300\n","14/14 [==============================] - 10s 732ms/step - loss: 0.1369 - acc: 0.9587 - val_loss: 0.1179 - val_acc: 0.9594\n","Epoch 77/300\n","14/14 [==============================] - 10s 733ms/step - loss: 0.1080 - acc: 0.9677 - val_loss: 0.0867 - val_acc: 0.9729\n","Epoch 78/300\n","14/14 [==============================] - 10s 720ms/step - loss: 0.1311 - acc: 0.9605 - val_loss: 0.0852 - val_acc: 0.9662\n","Epoch 79/300\n","14/14 [==============================] - 10s 732ms/step - loss: 0.1099 - acc: 0.9617 - val_loss: 0.0435 - val_acc: 0.9865\n","Epoch 80/300\n","14/14 [==============================] - 10s 735ms/step - loss: 0.0969 - acc: 0.9713 - val_loss: 0.0614 - val_acc: 0.9848\n"]}]},{"cell_type":"code","source":["y_pred = gnn_model_2.predict(test.index.to_numpy())\n","print(classification_report(np.argmax(y_pred, axis = 1), test.Disease))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"AzEe8jFSWa8M","executionInfo":{"status":"ok","timestamp":1703145823612,"user_tz":-420,"elapsed":6352,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"c000af12-4eb3-4343-a3cd-4275793e38ef"},"execution_count":55,"outputs":[{"output_type":"stream","name":"stdout","text":["31/31 [==============================] - 6s 151ms/step\n","              precision    recall  f1-score   support\n","\n","           0       1.00      1.00      1.00        33\n","           1       0.83      1.00      0.90        19\n","           2       1.00      1.00      1.00        23\n","           3       1.00      1.00      1.00        19\n","           4       1.00      0.90      0.95        29\n","           5       1.00      1.00      1.00        22\n","           6       1.00      1.00      1.00        22\n","           7       1.00      0.96      0.98        28\n","           8       1.00      1.00      1.00        20\n","           9       1.00      1.00      1.00        20\n","          10       1.00      1.00      1.00        20\n","          11       1.00      1.00      1.00        31\n","          12       1.00      1.00      1.00        25\n","          13       1.00      1.00      1.00        28\n","          14       1.00      1.00      1.00        21\n","          15       0.83      1.00      0.91        15\n","          16       1.00      1.00      1.00        23\n","          17       0.96      0.90      0.93        30\n","          18       1.00      1.00      1.00        26\n","          19       1.00      1.00      1.00        26\n","          20       1.00      1.00      1.00        29\n","          21       1.00      1.00      1.00        22\n","          22       1.00      1.00      1.00        28\n","          23       0.74      0.85      0.79        20\n","          24       1.00      1.00      1.00        25\n","          25       1.00      1.00      1.00        21\n","          26       1.00      1.00      1.00        25\n","          27       0.81      1.00      0.90        13\n","          28       1.00      1.00      1.00        25\n","          29       1.00      1.00      1.00        22\n","          30       1.00      1.00      1.00        22\n","          31       1.00      1.00      1.00        30\n","          32       0.91      0.80      0.85        25\n","          33       1.00      1.00      1.00        23\n","          34       1.00      1.00      1.00        25\n","          35       1.00      1.00      1.00        21\n","          36       1.00      1.00      1.00        22\n","          37       1.00      1.00      1.00        23\n","          38       1.00      0.85      0.92        26\n","          39       1.00      1.00      1.00        23\n","          40       1.00      1.00      1.00        34\n","\n","    accuracy                           0.98       984\n","   macro avg       0.98      0.98      0.98       984\n","weighted avg       0.98      0.98      0.98       984\n","\n"]}]},{"cell_type":"code","source":["plot(history2)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":401},"id":"HLFAjiEbZol-","executionInfo":{"status":"ok","timestamp":1703145824884,"user_tz":-420,"elapsed":1293,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"9d35ed8b-bdef-4bf1-8f48-32279698a038"},"execution_count":56,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x400 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# Graph Strategy 3: Xây dựng đồ thị dựa trên độ tương đồng giữa 2 người"],"metadata":{"id":"SK9kG9AGasuQ"}},{"cell_type":"code","source":["\n","import pandas as pd\n","from sklearn.metrics.pairwise import cosine_similarity\n","\n","df_test = train.iloc[:,2:].copy()\n","cosine_sim = cosine_similarity(df_test)\n","\n","# Tạo DataFrame mới với cặp index thỏa điều kiện\n","indices = df['index'].tolist()\n","pairs = []\n","for i in range(len(cosine_sim)):\n","    for j in range(i + 1, len(cosine_sim[i])):\n","        if cosine_sim[i, j] >= 0.99:\n","            pairs.append((indices[i], indices[j]))\n","\n","df_pairs = pd.DataFrame(pairs, columns=['index source', 'index target'])\n","sampled_df = df_pairs.sample(frac=0.2, random_state=42)"],"metadata":{"id":"Mu-AkIuuZsG8","executionInfo":{"status":"ok","timestamp":1703147230622,"user_tz":-420,"elapsed":2407,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":130,"outputs":[]},{"cell_type":"code","source":["\n","graph_info_new = create_graph_info(sampled_df, df)\n","\n","gnn_model_3 = GNNNodeClassifier(\n","    graph_info=graph_info_new,\n","    num_classes=num_classes,\n","    hidden_units=hidden_units,\n","    dropout_rate=dropout_rate,\n","    aggregation_type=\"attention\",\n","    combination_type=\"gru\",\n","    name=\"gnn_model\",\n",")\n","\n","print(\"GNN output shape:\", gnn_model_3([1, 10, 100]))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-jIFpO_Paw46","executionInfo":{"status":"ok","timestamp":1703147231175,"user_tz":-420,"elapsed":555,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"555814d6-21b0-480a-fea9-cb5389225e54"},"execution_count":131,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Layer gru_8 will not use cuDNN kernels since it doesn't meet the criteria. It will use a generic GPU kernel as fallback when running on GPU.\n","WARNING:tensorflow:Layer gru_9 will not use cuDNN kernels since it doesn't meet the criteria. It will use a generic GPU kernel as fallback when running on GPU.\n"]},{"output_type":"stream","name":"stdout","text":["Edges shape: (2, 20799)\n","Nodes shape: (4920, 16)\n","GNN output shape: tf.Tensor(\n","[[0.03120873 0.03440292 0.01810458 0.01957289 0.02049132 0.02472931\n","  0.02299749 0.01859478 0.05177091 0.0253994  0.01717215 0.01986644\n","  0.04454018 0.02616059 0.02246551 0.01725275 0.02544158 0.02427963\n","  0.01673777 0.02193891 0.01322475 0.02258407 0.01769929 0.02602588\n","  0.02844235 0.021713   0.03379795 0.02536361 0.0254196  0.02277648\n","  0.01283162 0.01952056 0.02066773 0.03100589 0.02717036 0.0168696\n","  0.02553524 0.01831989 0.02474759 0.03053254 0.03262426]\n"," [0.03243917 0.04146352 0.0134796  0.01247565 0.02538369 0.02440189\n","  0.0245136  0.01417599 0.06501615 0.02156534 0.01998513 0.02798166\n","  0.03611496 0.02401629 0.02087255 0.01360001 0.02239676 0.01689081\n","  0.01561054 0.02265962 0.00989902 0.02717795 0.01467461 0.02254101\n","  0.03614836 0.01848625 0.02773085 0.02391586 0.03171607 0.02563648\n","  0.01236404 0.01996741 0.0248175  0.03239344 0.03686811 0.01813376\n","  0.02432437 0.0114912  0.02621931 0.02580509 0.03464635]\n"," [0.03909721 0.06355723 0.00786598 0.00591884 0.02620908 0.02872021\n","  0.02146873 0.00721227 0.10098224 0.01711673 0.01578019 0.02713077\n","  0.04619468 0.02270826 0.01645013 0.00784299 0.01639942 0.00984281\n","  0.01058346 0.01966418 0.00457905 0.0373523  0.00740741 0.01884989\n","  0.04678382 0.01286736 0.02789474 0.01848027 0.03269398 0.02548224\n","  0.00650813 0.0151053  0.02378589 0.0346996  0.04466195 0.01049817\n","  0.01985213 0.00515412 0.02694738 0.02479465 0.04485618]], shape=(3, 41), dtype=float32)\n"]}]},{"cell_type":"code","source":["\n","x_train = train.index.to_numpy()\n","history3 = run_experiment(gnn_model_3, x_train, train.Disease)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"qRrqIuMOa5Xm","executionInfo":{"status":"ok","timestamp":1703145964863,"user_tz":-420,"elapsed":136145,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"4a44f448-cf2e-4aa6-9266-6c04829e3837"},"execution_count":59,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/300\n","14/14 [==============================] - 14s 230ms/step - loss: 2.7788 - acc: 0.2706 - val_loss: 3.2778 - val_acc: 0.1371\n","Epoch 2/300\n","14/14 [==============================] - 2s 144ms/step - loss: 1.4161 - acc: 0.5868 - val_loss: 4.7747 - val_acc: 0.0592\n","Epoch 3/300\n","14/14 [==============================] - 2s 144ms/step - loss: 1.0769 - acc: 0.6487 - val_loss: 8.3825 - val_acc: 0.0660\n","Epoch 4/300\n","14/14 [==============================] - 2s 147ms/step - loss: 0.8859 - acc: 0.7208 - val_loss: 8.3401 - val_acc: 0.0931\n","Epoch 5/300\n","14/14 [==============================] - 2s 147ms/step - loss: 0.7582 - acc: 0.7498 - val_loss: 7.9653 - val_acc: 0.1134\n","Epoch 6/300\n","14/14 [==============================] - 2s 146ms/step - loss: 0.7342 - acc: 0.7599 - val_loss: 8.6610 - val_acc: 0.1032\n","Epoch 7/300\n","14/14 [==============================] - 2s 153ms/step - loss: 0.6445 - acc: 0.7913 - val_loss: 6.6905 - val_acc: 0.1252\n","Epoch 8/300\n","14/14 [==============================] - 2s 153ms/step - loss: 0.6479 - acc: 0.7985 - val_loss: 5.3869 - val_acc: 0.1980\n","Epoch 9/300\n","14/14 [==============================] - 2s 149ms/step - loss: 0.5542 - acc: 0.8114 - val_loss: 3.6592 - val_acc: 0.2995\n","Epoch 10/300\n","14/14 [==============================] - 2s 146ms/step - loss: 0.5400 - acc: 0.8218 - val_loss: 3.2827 - val_acc: 0.3790\n","Epoch 11/300\n","14/14 [==============================] - 2s 147ms/step - loss: 0.5344 - acc: 0.8146 - val_loss: 2.3588 - val_acc: 0.4010\n","Epoch 12/300\n","14/14 [==============================] - 2s 150ms/step - loss: 0.5203 - acc: 0.8182 - val_loss: 1.9804 - val_acc: 0.5533\n","Epoch 13/300\n","14/14 [==============================] - 2s 152ms/step - loss: 0.5589 - acc: 0.8132 - val_loss: 1.5231 - val_acc: 0.6277\n","Epoch 14/300\n","14/14 [==============================] - 2s 152ms/step - loss: 0.5634 - acc: 0.8146 - val_loss: 0.7269 - val_acc: 0.7936\n","Epoch 15/300\n","14/14 [==============================] - 2s 149ms/step - loss: 0.5064 - acc: 0.8278 - val_loss: 0.6418 - val_acc: 0.7580\n","Epoch 16/300\n","14/14 [==============================] - 2s 147ms/step - loss: 0.4998 - acc: 0.8227 - val_loss: 0.4524 - val_acc: 0.8579\n","Epoch 17/300\n","14/14 [==============================] - 2s 145ms/step - loss: 0.4962 - acc: 0.8287 - val_loss: 0.4377 - val_acc: 0.8511\n","Epoch 18/300\n","14/14 [==============================] - 2s 147ms/step - loss: 0.5004 - acc: 0.8341 - val_loss: 0.3210 - val_acc: 0.8849\n","Epoch 19/300\n","14/14 [==============================] - 2s 146ms/step - loss: 0.4833 - acc: 0.8365 - val_loss: 0.2560 - val_acc: 0.9069\n","Epoch 20/300\n","14/14 [==============================] - 2s 149ms/step - loss: 0.4906 - acc: 0.8284 - val_loss: 0.2265 - val_acc: 0.9239\n","Epoch 21/300\n","14/14 [==============================] - 2s 154ms/step - loss: 0.4908 - acc: 0.8356 - val_loss: 0.1686 - val_acc: 0.9357\n","Epoch 22/300\n","14/14 [==============================] - 2s 148ms/step - loss: 0.4485 - acc: 0.8451 - val_loss: 0.2147 - val_acc: 0.9171\n","Epoch 23/300\n","14/14 [==============================] - 2s 144ms/step - loss: 0.5055 - acc: 0.8323 - val_loss: 0.2056 - val_acc: 0.9239\n","Epoch 24/300\n","14/14 [==============================] - 2s 148ms/step - loss: 0.4530 - acc: 0.8466 - val_loss: 0.1879 - val_acc: 0.9340\n","Epoch 25/300\n","14/14 [==============================] - 2s 149ms/step - loss: 0.4165 - acc: 0.8601 - val_loss: 0.1258 - val_acc: 0.9492\n","Epoch 26/300\n","14/14 [==============================] - 2s 144ms/step - loss: 0.4834 - acc: 0.8359 - val_loss: 0.2061 - val_acc: 0.9408\n","Epoch 27/300\n","14/14 [==============================] - 2s 145ms/step - loss: 0.4439 - acc: 0.8416 - val_loss: 0.1764 - val_acc: 0.9357\n","Epoch 28/300\n","14/14 [==============================] - 2s 150ms/step - loss: 0.4629 - acc: 0.8428 - val_loss: 0.1931 - val_acc: 0.9459\n","Epoch 29/300\n","14/14 [==============================] - 2s 149ms/step - loss: 0.4375 - acc: 0.8445 - val_loss: 0.1402 - val_acc: 0.9475\n","Epoch 30/300\n","14/14 [==============================] - 2s 148ms/step - loss: 0.4260 - acc: 0.8466 - val_loss: 0.1523 - val_acc: 0.9425\n","Epoch 31/300\n","14/14 [==============================] - 2s 148ms/step - loss: 0.3966 - acc: 0.8571 - val_loss: 0.1323 - val_acc: 0.9475\n","Epoch 32/300\n","14/14 [==============================] - 2s 144ms/step - loss: 0.4056 - acc: 0.8574 - val_loss: 0.1543 - val_acc: 0.9425\n","Epoch 33/300\n","14/14 [==============================] - 2s 144ms/step - loss: 0.3740 - acc: 0.8622 - val_loss: 0.1637 - val_acc: 0.9408\n","Epoch 34/300\n","14/14 [==============================] - 2s 146ms/step - loss: 0.3886 - acc: 0.8643 - val_loss: 0.1354 - val_acc: 0.9391\n","Epoch 35/300\n","14/14 [==============================] - 2s 154ms/step - loss: 0.3797 - acc: 0.8762 - val_loss: 0.1408 - val_acc: 0.9475\n","Epoch 36/300\n","14/14 [==============================] - 2s 151ms/step - loss: 0.3644 - acc: 0.8747 - val_loss: 0.1480 - val_acc: 0.9475\n","Epoch 37/300\n","14/14 [==============================] - 2s 147ms/step - loss: 0.3710 - acc: 0.8673 - val_loss: 0.1429 - val_acc: 0.9425\n","Epoch 38/300\n","14/14 [==============================] - 2s 147ms/step - loss: 0.4257 - acc: 0.8508 - val_loss: 0.1729 - val_acc: 0.9459\n","Epoch 39/300\n","14/14 [==============================] - 2s 144ms/step - loss: 0.3926 - acc: 0.8601 - val_loss: 0.1515 - val_acc: 0.9306\n","Epoch 40/300\n","14/14 [==============================] - 2s 149ms/step - loss: 0.3507 - acc: 0.8786 - val_loss: 0.1320 - val_acc: 0.9577\n","Epoch 41/300\n","14/14 [==============================] - 2s 147ms/step - loss: 0.3970 - acc: 0.8565 - val_loss: 0.1431 - val_acc: 0.9475\n","Epoch 42/300\n","14/14 [==============================] - 2s 151ms/step - loss: 0.4070 - acc: 0.8490 - val_loss: 0.1193 - val_acc: 0.9577\n","Epoch 43/300\n","14/14 [==============================] - 2s 151ms/step - loss: 0.3847 - acc: 0.8658 - val_loss: 0.1266 - val_acc: 0.9459\n","Epoch 44/300\n","14/14 [==============================] - 2s 148ms/step - loss: 0.3773 - acc: 0.8655 - val_loss: 0.1320 - val_acc: 0.9374\n","Epoch 45/300\n","14/14 [==============================] - 2s 148ms/step - loss: 0.3713 - acc: 0.8610 - val_loss: 0.1265 - val_acc: 0.9509\n","Epoch 46/300\n","14/14 [==============================] - 2s 148ms/step - loss: 0.3708 - acc: 0.8664 - val_loss: 0.1280 - val_acc: 0.9459\n","Epoch 47/300\n","14/14 [==============================] - 2s 148ms/step - loss: 0.3665 - acc: 0.8729 - val_loss: 0.1323 - val_acc: 0.9442\n","Epoch 48/300\n","14/14 [==============================] - 2s 144ms/step - loss: 0.3505 - acc: 0.8700 - val_loss: 0.1184 - val_acc: 0.9560\n","Epoch 49/300\n","14/14 [==============================] - 2s 149ms/step - loss: 0.3938 - acc: 0.8577 - val_loss: 0.1366 - val_acc: 0.9509\n","Epoch 50/300\n","14/14 [==============================] - 2s 149ms/step - loss: 0.3854 - acc: 0.8685 - val_loss: 0.1403 - val_acc: 0.9442\n","Epoch 51/300\n","14/14 [==============================] - 2s 149ms/step - loss: 0.3911 - acc: 0.8649 - val_loss: 0.1364 - val_acc: 0.9543\n","Epoch 52/300\n","14/14 [==============================] - 2s 145ms/step - loss: 0.3373 - acc: 0.8765 - val_loss: 0.1234 - val_acc: 0.9459\n","Epoch 53/300\n","14/14 [==============================] - 2s 144ms/step - loss: 0.3563 - acc: 0.8670 - val_loss: 0.1206 - val_acc: 0.9509\n","Epoch 54/300\n","14/14 [==============================] - 2s 145ms/step - loss: 0.3367 - acc: 0.8828 - val_loss: 0.1118 - val_acc: 0.9509\n","Epoch 55/300\n","14/14 [==============================] - 2s 144ms/step - loss: 0.3214 - acc: 0.8762 - val_loss: 0.1354 - val_acc: 0.9560\n","Epoch 56/300\n","14/14 [==============================] - 2s 148ms/step - loss: 0.3450 - acc: 0.8762 - val_loss: 0.1380 - val_acc: 0.9459\n","Epoch 57/300\n","14/14 [==============================] - 2s 154ms/step - loss: 0.3367 - acc: 0.8774 - val_loss: 0.1098 - val_acc: 0.9577\n","Epoch 58/300\n","14/14 [==============================] - 2s 150ms/step - loss: 0.3419 - acc: 0.8783 - val_loss: 0.1397 - val_acc: 0.9492\n","Epoch 59/300\n","14/14 [==============================] - 2s 145ms/step - loss: 0.3253 - acc: 0.8795 - val_loss: 0.1275 - val_acc: 0.9526\n","Epoch 60/300\n","14/14 [==============================] - 2s 147ms/step - loss: 0.3622 - acc: 0.8741 - val_loss: 0.1703 - val_acc: 0.9222\n"]}]},{"cell_type":"code","source":["\n","y_pred = gnn_model_3.predict(test.index.to_numpy())\n","print(classification_report(np.argmax(y_pred, axis = 1), test.Disease))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3tTUEO9Ua70_","executionInfo":{"status":"ok","timestamp":1703145966310,"user_tz":-420,"elapsed":1457,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"e07e8cb9-c5b6-4588-8ef2-2fb5e93df7d0"},"execution_count":60,"outputs":[{"output_type":"stream","name":"stdout","text":["31/31 [==============================] - 2s 31ms/step\n","              precision    recall  f1-score   support\n","\n","           0       1.00      1.00      1.00        33\n","           1       1.00      1.00      1.00        23\n","           2       1.00      1.00      1.00        23\n","           3       0.89      1.00      0.94        17\n","           4       1.00      0.84      0.91        31\n","           5       1.00      1.00      1.00        22\n","           6       0.95      0.91      0.93        23\n","           7       0.93      1.00      0.96        25\n","           8       1.00      1.00      1.00        20\n","           9       1.00      1.00      1.00        20\n","          10       1.00      1.00      1.00        20\n","          11       1.00      1.00      1.00        31\n","          12       1.00      1.00      1.00        25\n","          13       0.96      1.00      0.98        27\n","          14       1.00      0.95      0.98        22\n","          15       0.89      0.36      0.51        45\n","          16       1.00      1.00      1.00        23\n","          17       0.00      0.00      0.00         0\n","          18       1.00      1.00      1.00        26\n","          19       1.00      1.00      1.00        26\n","          20       1.00      0.91      0.95        32\n","          21       1.00      1.00      1.00        22\n","          22       1.00      1.00      1.00        28\n","          23       1.00      0.92      0.96        25\n","          24       1.00      1.00      1.00        25\n","          25       1.00      1.00      1.00        21\n","          26       1.00      1.00      1.00        25\n","          27       1.00      1.00      1.00        16\n","          28       1.00      1.00      1.00        25\n","          29       1.00      1.00      1.00        22\n","          30       1.00      1.00      1.00        22\n","          31       1.00      1.00      1.00        30\n","          32       0.91      1.00      0.95        20\n","          33       0.87      0.95      0.91        21\n","          34       1.00      1.00      1.00        25\n","          35       1.00      1.00      1.00        21\n","          36       1.00      1.00      1.00        22\n","          37       1.00      1.00      1.00        23\n","          38       0.91      1.00      0.95        20\n","          39       1.00      1.00      1.00        23\n","          40       1.00      1.00      1.00        34\n","\n","    accuracy                           0.96       984\n","   macro avg       0.96      0.95      0.95       984\n","weighted avg       0.98      0.96      0.96       984\n","\n"]}]},{"cell_type":"code","source":["plot(history3)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":400},"id":"qxOA2xTnbcNi","executionInfo":{"status":"ok","timestamp":1703145967546,"user_tz":-420,"elapsed":1238,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"b941df44-d9af-4bff-878c-325c8359e3bc"},"execution_count":61,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x400 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"WonkakzadD3q","executionInfo":{"status":"ok","timestamp":1703145967546,"user_tz":-420,"elapsed":11,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":61,"outputs":[]},{"cell_type":"markdown","source":["# Graph Strategy 4: Many Graph Input"],"metadata":{"id":"zsxDkOAGdERp"}},{"cell_type":"code","source":["\n","df_test = data.groupby('Disease').apply(lambda x: list(x[['Symptom_1', 'Symptom_2', 'Symptom_3']].stack().value_counts().nlargest(3).index))\n","df_test = df_test.to_frame(name = 'Symptom')\n","df_test.reset_index(inplace = True)\n","# Tạo DataFrame mới với các cột triệu chứng\n","\n","df_new = df_test.explode('Symptom').reset_index(drop=True)\n","\n","df_new.head(10)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"id":"L5uCKuKGbzjn","executionInfo":{"status":"ok","timestamp":1703145967546,"user_tz":-420,"elapsed":10,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"5b7a5e67-5673-4742-93ed-109865cb119d"},"execution_count":62,"outputs":[{"output_type":"execute_result","data":{"text/plain":["   Disease             Symptom\n","0        0            vomiting\n","1        0            headache\n","2        0              nausea\n","3        1          high_fever\n","4        1      muscle_wasting\n","5        1   patches_in_throat\n","6        2           skin_rash\n","7        2  pus_filled_pimples\n","8        2          blackheads\n","9        3            vomiting"],"text/html":["\n","  <div id=\"df-5b09ec0d-983b-4480-a218-03789f61548c\" 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>Disease</th>\n","      <th>Symptom</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>vomiting</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0</td>\n","      <td>headache</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0</td>\n","      <td>nausea</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>high_fever</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>1</td>\n","      <td>muscle_wasting</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>1</td>\n","      <td>patches_in_throat</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>2</td>\n","      <td>skin_rash</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>2</td>\n","      <td>pus_filled_pimples</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>2</td>\n","      <td>blackheads</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>3</td>\n","      <td>vomiting</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5b09ec0d-983b-4480-a218-03789f61548c')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-5b09ec0d-983b-4480-a218-03789f61548c 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-5b09ec0d-983b-4480-a218-03789f61548c');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-24969bfd-aeb6-4cc0-b92e-ddb0fd75f52d\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-24969bfd-aeb6-4cc0-b92e-ddb0fd75f52d')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-24969bfd-aeb6-4cc0-b92e-ddb0fd75f52d button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":62}]},{"cell_type":"code","source":["\n","feature_disease = pd.read_csv('/content/disease_feature.csv').drop(columns='Unnamed: 0')\n","feature_disease.head(10)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"id":"TkLjf2H6gXk0","executionInfo":{"status":"ok","timestamp":1703146001233,"user_tz":-420,"elapsed":421,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"78b3d244-f7b4-4d54-ed41-0cd5ccea5d3f"},"execution_count":64,"outputs":[{"output_type":"execute_result","data":{"text/plain":["   Disease            Symptom_1           Symptom_2          Symptom_3\n","0        0             vomiting            headache             nausea\n","1        1           high_fever      muscle_wasting  patches_in_throat\n","2        2            skin_rash  pus_filled_pimples         blackheads\n","3        3             vomiting      yellowish_skin     abdominal_pain\n","4        4  continuous_sneezing           shivering             chills\n","5        5      muscle_weakness          stiff_neck    swelling_joints\n","6        6           high_fever             fatigue              cough\n","7        7            neck_pain           back_pain  weakness_in_limbs\n","8        8              itching           skin_rash            fatigue\n","9        9              itching            vomiting     yellowish_skin"],"text/html":["\n","  <div id=\"df-24105e80-162c-4729-a197-4a2df3b2cce8\" 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>Disease</th>\n","      <th>Symptom_1</th>\n","      <th>Symptom_2</th>\n","      <th>Symptom_3</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>vomiting</td>\n","      <td>headache</td>\n","      <td>nausea</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>high_fever</td>\n","      <td>muscle_wasting</td>\n","      <td>patches_in_throat</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>skin_rash</td>\n","      <td>pus_filled_pimples</td>\n","      <td>blackheads</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>vomiting</td>\n","      <td>yellowish_skin</td>\n","      <td>abdominal_pain</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>continuous_sneezing</td>\n","      <td>shivering</td>\n","      <td>chills</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>5</td>\n","      <td>muscle_weakness</td>\n","      <td>stiff_neck</td>\n","      <td>swelling_joints</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>6</td>\n","      <td>high_fever</td>\n","      <td>fatigue</td>\n","      <td>cough</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>7</td>\n","      <td>neck_pain</td>\n","      <td>back_pain</td>\n","      <td>weakness_in_limbs</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>8</td>\n","      <td>itching</td>\n","      <td>skin_rash</td>\n","      <td>fatigue</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>9</td>\n","      <td>itching</td>\n","      <td>vomiting</td>\n","      <td>yellowish_skin</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-24105e80-162c-4729-a197-4a2df3b2cce8')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-24105e80-162c-4729-a197-4a2df3b2cce8 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-24105e80-162c-4729-a197-4a2df3b2cce8');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-84c42d98-d74c-44bd-b527-bfc6a3532bab\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-84c42d98-d74c-44bd-b527-bfc6a3532bab')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-84c42d98-d74c-44bd-b527-bfc6a3532bab button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":64}]},{"cell_type":"code","source":["\n","df_disease = feature_disease.replace(weights)\n","df_disease = df_disease.fillna(0) # put empty cell to 0\n","df_disease = df_disease.replace(\"foul_smell_of_urine\" , 5)\n","df_disease = df_disease.replace(\"dischromic__patches\" , 6)\n","df_disease = df_disease.replace(\"spotting__urination\" , 6)\n","df_disease\n",""],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"pqHhhFw2kvBC","executionInfo":{"status":"ok","timestamp":1703146002474,"user_tz":-420,"elapsed":3,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"50b9bdb3-c818-4e32-bc2e-ec7550c30646"},"execution_count":65,"outputs":[{"output_type":"execute_result","data":{"text/plain":["    Disease  Symptom_1  Symptom_2  Symptom_3\n","0         0          5          3          5\n","1         1          7          3          6\n","2         2          3          2          2\n","3         3          5          3          4\n","4         4          4          5          3\n","5         5          2          4          5\n","6         6          7          4          4\n","7         7          5          3          7\n","8         8          1          3          4\n","9         9          1          5          3\n","10       10          4          3          4\n","11       11          3          3          3\n","12       12          4          3          5\n","13       13          4          5          6\n","14       14          1          3          5\n","15       15          1          3          4\n","16       16          5          3          4\n","17       17          5          3          4\n","18       18          5          4          3\n","19       19          1          4          2\n","20       20          4          3          5\n","21       21          3          5          4\n","22       22          3          5          4\n","23       23          3          7          4\n","24       24          4          3          3\n","25       25          5          4          4\n","26       26          3          5          4\n","27       27          3          4          7\n","28       28          1          5          4\n","29       29          3          5          7\n","30       30          3          5          3\n","31       31          3          5          3\n","32       32          5          3          4\n","33       33          5          4          5\n","34       34          3          4          4\n","35       35          3          3          3\n","36       36          3          5          4\n","37       37          3          4          5\n","38       38          4          6          5\n","39       39          4          4          4\n","40       40          3          5          3"],"text/html":["\n","  <div id=\"df-1c5de14f-598c-44cb-8946-d338101e092b\" 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>Disease</th>\n","      <th>Symptom_1</th>\n","      <th>Symptom_2</th>\n","      <th>Symptom_3</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>5</td>\n","      <td>3</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>7</td>\n","      <td>3</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>5</td>\n","      <td>3</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>5</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>5</td>\n","      <td>2</td>\n","      <td>4</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>6</td>\n","      <td>7</td>\n","      <td>4</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>7</td>\n","      <td>5</td>\n","      <td>3</td>\n","      <td>7</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>8</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>9</td>\n","      <td>1</td>\n","      <td>5</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>10</td>\n","      <td>4</td>\n","      <td>3</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>11</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>12</td>\n","      <td>4</td>\n","      <td>3</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>13</td>\n","      <td>4</td>\n","      <td>5</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>14</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>15</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>16</td>\n","      <td>5</td>\n","      <td>3</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>17</td>\n","      <td>5</td>\n","      <td>3</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>18</td>\n","      <td>5</td>\n","      <td>4</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>19</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>20</td>\n","      <td>4</td>\n","      <td>3</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>21</td>\n","      <td>3</td>\n","      <td>5</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>22</td>\n","      <td>3</td>\n","      <td>5</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>23</td>\n","      <td>3</td>\n","      <td>7</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>24</td>\n","      <td>4</td>\n","      <td>3</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>25</td>\n","      <td>5</td>\n","      <td>4</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>26</td>\n","      <td>3</td>\n","      <td>5</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>27</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>7</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>28</td>\n","      <td>1</td>\n","      <td>5</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>29</td>\n","      <td>3</td>\n","      <td>5</td>\n","      <td>7</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>30</td>\n","      <td>3</td>\n","      <td>5</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>31</td>\n","      <td>3</td>\n","      <td>5</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>32</td>\n","      <td>5</td>\n","      <td>3</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>33</td>\n","      <td>5</td>\n","      <td>4</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>34</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>35</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>36</th>\n","      <td>36</td>\n","      <td>3</td>\n","      <td>5</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>37</th>\n","      <td>37</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>38</th>\n","      <td>38</td>\n","      <td>4</td>\n","      <td>6</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>39</th>\n","      <td>39</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>40</th>\n","      <td>40</td>\n","      <td>3</td>\n","      <td>5</td>\n","      <td>3</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1c5de14f-598c-44cb-8946-d338101e092b')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-1c5de14f-598c-44cb-8946-d338101e092b 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-1c5de14f-598c-44cb-8946-d338101e092b');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-1069ea9f-eec7-442f-ace2-c9bdbe98e225\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1069ea9f-eec7-442f-ace2-c9bdbe98e225')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-1069ea9f-eec7-442f-ace2-c9bdbe98e225 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","  <div id=\"id_6bc95c01-d946-432d-8c02-232e155e97fc\">\n","    <style>\n","      .colab-df-generate {\n","        background-color: #E8F0FE;\n","        border: none;\n","        border-radius: 50%;\n","        cursor: pointer;\n","        display: none;\n","        fill: #1967D2;\n","        height: 32px;\n","        padding: 0 0 0 0;\n","        width: 32px;\n","      }\n","\n","      .colab-df-generate:hover {\n","        background-color: #E2EBFA;\n","        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","        fill: #174EA6;\n","      }\n","\n","      [theme=dark] .colab-df-generate {\n","        background-color: #3B4455;\n","        fill: #D2E3FC;\n","      }\n","\n","      [theme=dark] .colab-df-generate:hover {\n","        background-color: #434B5C;\n","        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","        fill: #FFFFFF;\n","      }\n","    </style>\n","    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_disease')\"\n","            title=\"Generate code using this dataframe.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n","  </svg>\n","    </button>\n","    <script>\n","      (() => {\n","      const buttonEl =\n","        document.querySelector('#id_6bc95c01-d946-432d-8c02-232e155e97fc button.colab-df-generate');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      buttonEl.onclick = () => {\n","        google.colab.notebook.generateWithVariable('df_disease');\n","      }\n","      })();\n","    </script>\n","  </div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":65}]},{"cell_type":"code","source":["\n","# weight.reset_index(inplace = True)\n","graph_disease = create_group(['Symptom_1','Symptom_2'], feature_disease, 'Disease')\n","graph_disease\n",""],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"id":"7J3Ct6AakxZ_","executionInfo":{"status":"ok","timestamp":1703146257584,"user_tz":-420,"elapsed":349,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"fb3c846a-784b-4814-f8e0-dbc9c0bb3d13"},"execution_count":73,"outputs":[{"output_type":"execute_result","data":{"text/plain":["  index source index target\n","0           34           37\n","1           29           36\n","2            8           14\n","3            8           15\n","4           14           15\n","5            9           28\n","6           21           22\n","7           21           40\n","8           22           40\n","9            0           32"],"text/html":["\n","  <div id=\"df-41663e53-cf2c-47a5-acaa-9283be2dde95\" 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>index source</th>\n","      <th>index target</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>34</td>\n","      <td>37</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>29</td>\n","      <td>36</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>8</td>\n","      <td>14</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>8</td>\n","      <td>15</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>14</td>\n","      <td>15</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>9</td>\n","      <td>28</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>21</td>\n","      <td>22</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>21</td>\n","      <td>40</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>22</td>\n","      <td>40</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>0</td>\n","      <td>32</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-41663e53-cf2c-47a5-acaa-9283be2dde95')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-41663e53-cf2c-47a5-acaa-9283be2dde95 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-41663e53-cf2c-47a5-acaa-9283be2dde95');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-de5f4dbf-7268-4f44-8efa-0ed155b9bac7\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-de5f4dbf-7268-4f44-8efa-0ed155b9bac7')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-de5f4dbf-7268-4f44-8efa-0ed155b9bac7 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","  <div id=\"id_2b4e5e62-4d59-40eb-a789-1ee85b7e6226\">\n","    <style>\n","      .colab-df-generate {\n","        background-color: #E8F0FE;\n","        border: none;\n","        border-radius: 50%;\n","        cursor: pointer;\n","        display: none;\n","        fill: #1967D2;\n","        height: 32px;\n","        padding: 0 0 0 0;\n","        width: 32px;\n","      }\n","\n","      .colab-df-generate:hover {\n","        background-color: #E2EBFA;\n","        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","        fill: #174EA6;\n","      }\n","\n","      [theme=dark] .colab-df-generate {\n","        background-color: #3B4455;\n","        fill: #D2E3FC;\n","      }\n","\n","      [theme=dark] .colab-df-generate:hover {\n","        background-color: #434B5C;\n","        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","        fill: #FFFFFF;\n","      }\n","    </style>\n","    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('graph_disease')\"\n","            title=\"Generate code using this dataframe.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n","  </svg>\n","    </button>\n","    <script>\n","      (() => {\n","      const buttonEl =\n","        document.querySelector('#id_2b4e5e62-4d59-40eb-a789-1ee85b7e6226 button.colab-df-generate');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      buttonEl.onclick = () => {\n","        google.colab.notebook.generateWithVariable('graph_disease');\n","      }\n","      })();\n","    </script>\n","  </div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":73}]},{"cell_type":"code","source":["data.reset_index(names = 'UserID', inplace = True)\n"],"metadata":{"id":"ePxN9lJxk2Ph","executionInfo":{"status":"ok","timestamp":1703146261636,"user_tz":-420,"elapsed":407,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":74,"outputs":[]},{"cell_type":"code","source":["\n","# # weight.reset_index(inplace = True)\n","graph_user = pd.read_csv('/content/egde_user_user.csv')\n","graph_user"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"EkVGqQePk8nT","executionInfo":{"status":"ok","timestamp":1703146261990,"user_tz":-420,"elapsed":7,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"48fdae56-bdaf-4cf2-ac99-fff8b5982de0"},"execution_count":75,"outputs":[{"output_type":"execute_result","data":{"text/plain":["        index source  index target\n","0               2000          4013\n","1               2000           773\n","2               2000           362\n","3               2000          3685\n","4               2000          3644\n","...              ...           ...\n","187257          2643          4611\n","187258          2643          2561\n","187259          2244          4611\n","187260          2244          2561\n","187261          4611          2561\n","\n","[187262 rows x 2 columns]"],"text/html":["\n","  <div id=\"df-2765b0af-e940-4202-bc3f-162b0d333ab6\" 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>index source</th>\n","      <th>index target</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2000</td>\n","      <td>4013</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2000</td>\n","      <td>773</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2000</td>\n","      <td>362</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2000</td>\n","      <td>3685</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2000</td>\n","      <td>3644</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>187257</th>\n","      <td>2643</td>\n","      <td>4611</td>\n","    </tr>\n","    <tr>\n","      <th>187258</th>\n","      <td>2643</td>\n","      <td>2561</td>\n","    </tr>\n","    <tr>\n","      <th>187259</th>\n","      <td>2244</td>\n","      <td>4611</td>\n","    </tr>\n","    <tr>\n","      <th>187260</th>\n","      <td>2244</td>\n","      <td>2561</td>\n","    </tr>\n","    <tr>\n","      <th>187261</th>\n","      <td>4611</td>\n","      <td>2561</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>187262 rows × 2 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2765b0af-e940-4202-bc3f-162b0d333ab6')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-2765b0af-e940-4202-bc3f-162b0d333ab6 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-2765b0af-e940-4202-bc3f-162b0d333ab6');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-52472e19-8d9e-4fab-b347-52dec988153f\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-52472e19-8d9e-4fab-b347-52dec988153f')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-52472e19-8d9e-4fab-b347-52dec988153f button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","  <div id=\"id_0bf1c89e-4b72-401c-9883-1e7406566b78\">\n","    <style>\n","      .colab-df-generate {\n","        background-color: #E8F0FE;\n","        border: none;\n","        border-radius: 50%;\n","        cursor: pointer;\n","        display: none;\n","        fill: #1967D2;\n","        height: 32px;\n","        padding: 0 0 0 0;\n","        width: 32px;\n","      }\n","\n","      .colab-df-generate:hover {\n","        background-color: #E2EBFA;\n","        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","        fill: #174EA6;\n","      }\n","\n","      [theme=dark] .colab-df-generate {\n","        background-color: #3B4455;\n","        fill: #D2E3FC;\n","      }\n","\n","      [theme=dark] .colab-df-generate:hover {\n","        background-color: #434B5C;\n","        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","        fill: #FFFFFF;\n","      }\n","    </style>\n","    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('graph_user')\"\n","            title=\"Generate code using this dataframe.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n","  </svg>\n","    </button>\n","    <script>\n","      (() => {\n","      const buttonEl =\n","        document.querySelector('#id_0bf1c89e-4b72-401c-9883-1e7406566b78 button.colab-df-generate');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      buttonEl.onclick = () => {\n","        google.colab.notebook.generateWithVariable('graph_user');\n","      }\n","      })();\n","    </script>\n","  </div>\n","\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":75}]},{"cell_type":"code","source":["\n","def create_graph_info(df_edge, df_feature):\n","  # Create an edges array (sparse adjacency matrix) of shape [2, num_edges].\n","  edges = df_edge.to_numpy().T\n","  # Create an edge weights array of ones.\n","  edge_weights = tf.ones(shape=edges.shape[1])\n","  # Create a node features array of shape [num_nodes, num_features].\n","  x = np.asarray(df_feature.values).astype('float32')\n","  node_features = tf.cast(\n","      x, dtype=tf.dtypes.float32\n","  )\n","  # Create graph info tuple with node_features, edges, and edge_weights.\n","  graph_info = (node_features, np.asarray(edges).astype('int32'), edge_weights)\n","\n","  print(\"Edges shape:\", edges.shape)\n","  print(\"Nodes shape:\", node_features.shape)\n","  return graph_info"],"metadata":{"id":"cd7JmmAlk-5t","executionInfo":{"status":"ok","timestamp":1703146004426,"user_tz":-420,"elapsed":2,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":67,"outputs":[]},{"cell_type":"code","source":["\n","graph_info_user = create_graph_info(graph_user, df.iloc[:,2:])\n","graph_info_disease = create_graph_info(graph_disease, df_disease.iloc[:,1:])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oqd8BdAalFTQ","executionInfo":{"status":"ok","timestamp":1703146265928,"user_tz":-420,"elapsed":5,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"089ab42d-49a9-439a-ae37-ec91df3942bc"},"execution_count":76,"outputs":[{"output_type":"stream","name":"stdout","text":["Edges shape: (2, 187262)\n","Nodes shape: (4920, 17)\n","Edges shape: (2, 10)\n","Nodes shape: (41, 3)\n"]}]},{"cell_type":"code","source":["\n","class GNN_Multi_NodeClassifier(tf.keras.Model):\n","    def __init__(\n","        self,\n","        graph_info_user,\n","        graph_info_disease,\n","        num_classes,\n","        hidden_units,\n","        aggregation_type=\"mean\",\n","        combination_type=\"gru\",\n","        dropout_rate=0.2,\n","        normalize=True,\n","        *args,\n","        **kwargs,\n","    ):\n","        super().__init__(*args, **kwargs)\n","\n","        # Unpack graph_info to three elements: node_features, edges, and edge_weight.\n","        node_features_user, edges_user, edge_weights_user = graph_info_user\n","        node_features_disease, edges_disease, edge_weights_disease = graph_info_disease\n","\n","        self.node_features_user = node_features_user\n","        self.edges_user = edges_user\n","        self.edge_weights_user = edge_weights_user\n","\n","        self.node_features_disease = node_features_disease\n","        self.edges_disease = edges_disease\n","        self.edge_weights_disease = edge_weights_disease\n","\n","        # Set edge_weights to ones if not provided.\n","        if self.edge_weights_user is None:\n","            self.edge_weights_user = tf.ones(shape=edges_user.shape[1])\n","\n","        # Set edge_weights to ones if not provided.\n","        if self.edge_weights_disease is None:\n","            self.edge_weights_disease = tf.ones(shape=edges_disease.shape[1])\n","\n","        # Scale edge_weights to sum to 1.\n","        self.edge_weights_user = self.edge_weights_user / tf.math.reduce_sum(self.edge_weights_user)\n","        self.edge_weights_disease = self.edge_weights_disease / tf.math.reduce_sum(self.edge_weights_disease)\n","\n","        # Create a process layer.\n","        self.preprocess_user = create_ffn(hidden_units, dropout_rate, name=\"preprocess\")\n","        self.preprocess_disease = create_ffn(hidden_units, dropout_rate, name=\"preprocess\")\n","\n","        # Create the first GraphConv layer.\n","        self.conv1 = GraphConvLayer(\n","            hidden_units,\n","            dropout_rate,\n","            aggregation_type,\n","            combination_type,\n","            normalize,\n","            name=\"graph_conv1\",\n","        )\n","        # Create the second GraphConv layer.\n","        self.conv2 = GraphConvLayer(\n","            hidden_units,\n","            dropout_rate,\n","            aggregation_type,\n","            combination_type,\n","            normalize,\n","            name=\"graph_conv2\",\n","        )\n","        # Create a postprocess layer.\n","        self.postprocess = create_ffn(hidden_units, dropout_rate, name=\"postprocess\")\n","        # Create a compute logits layer.\n","        self.compute_logits = layers.Dense(units=num_classes,activation = 'softmax', name=\"logits\")\n","\n","    def call(self, input):\n","        input_node_indices_user, input_node_indices_disease = input\n","        # Preprocess the node_features to produce node representations.\n","        x_user = self.preprocess_user(self.node_features_user)\n","        # Apply the first graph conv layer.\n","        x1_user = self.conv1((x_user, self.edges_user, self.edge_weights_user))\n","        # Skip connection.\n","        x_user = x1_user + x_user\n","\n","        # Preprocess the node_features to produce node representations.\n","        x_disease = self.preprocess_disease(self.node_features_disease)\n","        # Apply the first graph conv layer.\n","        x1_disease = self.conv1((x_disease, self.edges_disease, self.edge_weights_disease))\n","        # Skip connection.\n","        x_disease = x1_disease + x_disease\n","\n","        x_combined = tf.concat([x_user, x_disease], axis=0)\n","\n","        # Apply the second graph conv layer.\n","        x_combined = self.conv2((x_combined, self.edges_user, self.edge_weights_user))\n","\n","        # Postprocess node embedding.\n","        x_user = self.postprocess(x_combined)\n","        # Fetch node embeddings for the input node_indices.\n","        node_embeddings = tf.gather(x_user, input_node_indices_user)\n","\n","        return self.compute_logits(node_embeddings)"],"metadata":{"id":"C2_g4FWYlHEX","executionInfo":{"status":"ok","timestamp":1703146268214,"user_tz":-420,"elapsed":330,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":77,"outputs":[]},{"cell_type":"code","source":["\n","gnn_model_3 = GNN_Multi_NodeClassifier(\n","    graph_info_user=graph_info_user,\n","    graph_info_disease=graph_info_disease,\n","    num_classes=num_classes,\n","    hidden_units=hidden_units,\n","    dropout_rate=dropout_rate,\n","    aggregation_type=\"mean\",\n","    combination_type=\"gru\",\n","    name=\"gnn_model\",\n",")\n","gnn_model_3.compile(\n","        optimizer=keras.optimizers.Adam(learning_rate),\n","        loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n","        metrics=[keras.metrics.SparseCategoricalAccuracy(name=\"acc\")],\n","    )\n","print(\"GNN output shape:\", gnn_model_3([[1, 10, 100], [1, 10, 100, 1000]]))\n","gnn_model_3.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"g0tXmM9HlLPD","executionInfo":{"status":"ok","timestamp":1703146269833,"user_tz":-420,"elapsed":627,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"a484fd7a-7077-4d66-9796-cb7b01836f9c"},"execution_count":78,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Layer gru_4 will not use cuDNN kernels since it doesn't meet the criteria. It will use a generic GPU kernel as fallback when running on GPU.\n","WARNING:tensorflow:Layer gru_5 will not use cuDNN kernels since it doesn't meet the criteria. It will use a generic GPU kernel as fallback when running on GPU.\n"]},{"output_type":"stream","name":"stdout","text":["GNN output shape: tf.Tensor(\n","[[0.02541326 0.02539196 0.02479218 0.02433597 0.02779336 0.02531408\n","  0.02580343 0.02630659 0.02394101 0.02209983 0.02490297 0.02366586\n","  0.02456014 0.02462232 0.02233073 0.02290536 0.02507928 0.02391839\n","  0.02285303 0.02579444 0.02173447 0.02495515 0.0242587  0.0254044\n","  0.02517904 0.02320273 0.02567407 0.02433408 0.02596631 0.0236088\n","  0.02406109 0.02636751 0.0257694  0.02366663 0.02361338 0.02308871\n","  0.02138562 0.02354228 0.02320321 0.02542233 0.02373787]\n"," [0.02500275 0.02425103 0.02402576 0.02451815 0.02649696 0.02654129\n","  0.02484162 0.0243813  0.02570061 0.02312153 0.02380554 0.02407786\n","  0.025871   0.02422923 0.02241687 0.02468298 0.02483851 0.02337349\n","  0.02405476 0.02549342 0.02335691 0.02503962 0.02387599 0.02425868\n","  0.02374596 0.02543302 0.02600973 0.02399329 0.02486606 0.02345272\n","  0.02454801 0.0249333  0.02404485 0.02240009 0.02603182 0.02278462\n","  0.02257809 0.02413682 0.02401385 0.02459176 0.02418022]\n"," [0.02523909 0.02403124 0.02388542 0.02443248 0.02575438 0.02641864\n","  0.02412235 0.02349394 0.02625811 0.02372769 0.02353403 0.02389383\n","  0.02594526 0.02452475 0.02290391 0.02448497 0.024757   0.02374017\n","  0.02440336 0.02571139 0.02418895 0.02435621 0.02381009 0.02391183\n","  0.0231868  0.02539626 0.02614849 0.02369814 0.02424431 0.02364222\n","  0.0242753  0.02440529 0.02380262 0.02290169 0.02633208 0.02311593\n","  0.02331241 0.02475808 0.02425124 0.02489406 0.02410604]], shape=(3, 41), dtype=float32)\n","Model: \"gnn_model\"\n","_________________________________________________________________\n"," Layer (type)                Output Shape              Param #   \n","=================================================================\n"," preprocess (Sequential)     (4920, 32)                3556      \n","                                                                 \n"," preprocess (Sequential)     (41, 32)                  2604      \n","                                                                 \n"," graph_conv1 (GraphConvLaye  multiple                  10912     \n"," r)                                                              \n","                                                                 \n"," graph_conv2 (GraphConvLaye  multiple                  10912     \n"," r)                                                              \n","                                                                 \n"," postprocess (Sequential)    (4961, 32)                4576      \n","                                                                 \n"," logits (Dense)              multiple                  1353      \n","                                                                 \n","=================================================================\n","Total params: 33913 (132.47 KB)\n","Trainable params: 33041 (129.07 KB)\n","Non-trainable params: 872 (3.41 KB)\n","_________________________________________________________________\n"]}]},{"cell_type":"code","source":["x_train_user = train.index.to_numpy()\n","x_train_disease = train.Disease.to_numpy()\n","history_multi = run_experiment(gnn_model_3, [x_train_user,x_train_disease], train.Disease)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"AfgguI_hlNBo","executionInfo":{"status":"ok","timestamp":1703146387872,"user_tz":-420,"elapsed":114075,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"89063e61-9aad-4a68-bca6-6a6431feb56e"},"execution_count":79,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/300\n","14/14 [==============================] - 16s 175ms/step - loss: 2.7150 - acc: 0.2960 - val_loss: 3.5966 - val_acc: 0.1929\n","Epoch 2/300\n","14/14 [==============================] - 1s 78ms/step - loss: 1.3132 - acc: 0.6102 - val_loss: 3.4442 - val_acc: 0.1049\n","Epoch 3/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.9616 - acc: 0.7034 - val_loss: 3.2805 - val_acc: 0.1168\n","Epoch 4/300\n","14/14 [==============================] - 1s 86ms/step - loss: 0.8194 - acc: 0.7534 - val_loss: 3.2084 - val_acc: 0.0761\n","Epoch 5/300\n","14/14 [==============================] - 1s 87ms/step - loss: 0.7746 - acc: 0.7698 - val_loss: 3.2542 - val_acc: 0.0795\n","Epoch 6/300\n","14/14 [==============================] - 1s 87ms/step - loss: 0.7432 - acc: 0.7785 - val_loss: 3.1527 - val_acc: 0.1675\n","Epoch 7/300\n","14/14 [==============================] - 1s 87ms/step - loss: 0.6856 - acc: 0.7886 - val_loss: 2.7508 - val_acc: 0.2200\n","Epoch 8/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.6442 - acc: 0.7985 - val_loss: 2.7416 - val_acc: 0.2166\n","Epoch 9/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.6569 - acc: 0.7943 - val_loss: 2.1673 - val_acc: 0.4010\n","Epoch 10/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.6332 - acc: 0.8090 - val_loss: 1.8384 - val_acc: 0.5042\n","Epoch 11/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.6022 - acc: 0.8141 - val_loss: 1.7424 - val_acc: 0.4856\n","Epoch 12/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.5187 - acc: 0.8344 - val_loss: 1.2466 - val_acc: 0.6142\n","Epoch 13/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.5500 - acc: 0.8269 - val_loss: 1.2079 - val_acc: 0.6447\n","Epoch 14/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.4848 - acc: 0.8484 - val_loss: 0.9329 - val_acc: 0.7005\n","Epoch 15/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.5013 - acc: 0.8499 - val_loss: 0.7432 - val_acc: 0.7986\n","Epoch 16/300\n","14/14 [==============================] - 1s 84ms/step - loss: 0.5293 - acc: 0.8371 - val_loss: 0.7823 - val_acc: 0.8003\n","Epoch 17/300\n","14/14 [==============================] - 1s 89ms/step - loss: 0.5110 - acc: 0.8526 - val_loss: 0.4820 - val_acc: 0.8765\n","Epoch 18/300\n","14/14 [==============================] - 1s 87ms/step - loss: 0.4241 - acc: 0.8652 - val_loss: 0.3474 - val_acc: 0.9289\n","Epoch 19/300\n","14/14 [==============================] - 1s 87ms/step - loss: 0.4444 - acc: 0.8706 - val_loss: 0.3369 - val_acc: 0.9222\n","Epoch 20/300\n","14/14 [==============================] - 1s 84ms/step - loss: 0.3970 - acc: 0.8774 - val_loss: 0.2612 - val_acc: 0.9509\n","Epoch 21/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.3969 - acc: 0.8750 - val_loss: 0.3000 - val_acc: 0.9289\n","Epoch 22/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.4935 - acc: 0.8574 - val_loss: 0.2301 - val_acc: 0.9391\n","Epoch 23/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.4178 - acc: 0.8640 - val_loss: 0.2282 - val_acc: 0.9306\n","Epoch 24/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.4600 - acc: 0.8676 - val_loss: 0.2160 - val_acc: 0.9509\n","Epoch 25/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.3745 - acc: 0.8783 - val_loss: 0.1383 - val_acc: 0.9712\n","Epoch 26/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.4048 - acc: 0.8762 - val_loss: 0.1465 - val_acc: 0.9679\n","Epoch 27/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.3973 - acc: 0.8720 - val_loss: 0.1464 - val_acc: 0.9459\n","Epoch 28/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.3720 - acc: 0.8870 - val_loss: 0.1429 - val_acc: 0.9695\n","Epoch 29/300\n","14/14 [==============================] - 1s 82ms/step - loss: 0.3705 - acc: 0.8915 - val_loss: 0.1283 - val_acc: 0.9662\n","Epoch 30/300\n","14/14 [==============================] - 1s 84ms/step - loss: 0.3888 - acc: 0.8801 - val_loss: 0.1432 - val_acc: 0.9492\n","Epoch 31/300\n","14/14 [==============================] - 1s 88ms/step - loss: 0.4312 - acc: 0.8694 - val_loss: 0.1806 - val_acc: 0.9628\n","Epoch 32/300\n","14/14 [==============================] - 1s 85ms/step - loss: 0.4362 - acc: 0.8634 - val_loss: 0.1540 - val_acc: 0.9509\n","Epoch 33/300\n","14/14 [==============================] - 1s 83ms/step - loss: 0.3991 - acc: 0.8753 - val_loss: 0.1335 - val_acc: 0.9645\n","Epoch 34/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.3578 - acc: 0.8870 - val_loss: 0.0926 - val_acc: 0.9780\n","Epoch 35/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.3897 - acc: 0.8816 - val_loss: 0.1205 - val_acc: 0.9662\n","Epoch 36/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.3661 - acc: 0.8858 - val_loss: 0.1023 - val_acc: 0.9780\n","Epoch 37/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.3448 - acc: 0.8894 - val_loss: 0.1015 - val_acc: 0.9814\n","Epoch 38/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.3906 - acc: 0.8822 - val_loss: 0.0959 - val_acc: 0.9729\n","Epoch 39/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.3556 - acc: 0.8915 - val_loss: 0.0888 - val_acc: 0.9729\n","Epoch 40/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.3170 - acc: 0.9022 - val_loss: 0.1124 - val_acc: 0.9679\n","Epoch 41/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.3165 - acc: 0.9037 - val_loss: 0.0904 - val_acc: 0.9695\n","Epoch 42/300\n","14/14 [==============================] - 1s 81ms/step - loss: 0.3807 - acc: 0.8900 - val_loss: 0.1106 - val_acc: 0.9746\n","Epoch 43/300\n","14/14 [==============================] - 1s 86ms/step - loss: 0.3780 - acc: 0.8849 - val_loss: 0.1223 - val_acc: 0.9662\n","Epoch 44/300\n","14/14 [==============================] - 1s 87ms/step - loss: 0.4226 - acc: 0.8697 - val_loss: 0.1070 - val_acc: 0.9594\n","Epoch 45/300\n","14/14 [==============================] - 1s 88ms/step - loss: 0.3899 - acc: 0.8762 - val_loss: 0.1461 - val_acc: 0.9560\n","Epoch 46/300\n","14/14 [==============================] - 1s 85ms/step - loss: 0.3660 - acc: 0.8942 - val_loss: 0.0872 - val_acc: 0.9780\n","Epoch 47/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.3382 - acc: 0.8960 - val_loss: 0.1000 - val_acc: 0.9695\n","Epoch 48/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.3177 - acc: 0.9031 - val_loss: 0.0846 - val_acc: 0.9763\n","Epoch 49/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.3096 - acc: 0.9037 - val_loss: 0.0833 - val_acc: 0.9695\n","Epoch 50/300\n","14/14 [==============================] - 1s 81ms/step - loss: 0.3101 - acc: 0.9040 - val_loss: 0.0593 - val_acc: 0.9831\n","Epoch 51/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.3463 - acc: 0.8969 - val_loss: 0.0913 - val_acc: 0.9763\n","Epoch 52/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.3469 - acc: 0.8933 - val_loss: 0.0775 - val_acc: 0.9729\n","Epoch 53/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.3288 - acc: 0.8951 - val_loss: 0.0709 - val_acc: 0.9814\n","Epoch 54/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.2688 - acc: 0.9175 - val_loss: 0.0696 - val_acc: 0.9780\n","Epoch 55/300\n","14/14 [==============================] - 1s 81ms/step - loss: 0.2987 - acc: 0.9067 - val_loss: 0.0780 - val_acc: 0.9645\n","Epoch 56/300\n","14/14 [==============================] - 1s 85ms/step - loss: 0.3467 - acc: 0.8906 - val_loss: 0.1194 - val_acc: 0.9594\n","Epoch 57/300\n","14/14 [==============================] - 1s 87ms/step - loss: 0.3526 - acc: 0.8918 - val_loss: 0.0877 - val_acc: 0.9662\n","Epoch 58/300\n","14/14 [==============================] - 1s 88ms/step - loss: 0.3071 - acc: 0.9019 - val_loss: 0.0774 - val_acc: 0.9814\n","Epoch 59/300\n","14/14 [==============================] - 1s 85ms/step - loss: 0.3416 - acc: 0.8981 - val_loss: 0.0924 - val_acc: 0.9679\n","Epoch 60/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.3366 - acc: 0.9025 - val_loss: 0.0815 - val_acc: 0.9645\n","Epoch 61/300\n","14/14 [==============================] - 1s 81ms/step - loss: 0.3001 - acc: 0.9091 - val_loss: 0.0635 - val_acc: 0.9848\n","Epoch 62/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.2986 - acc: 0.9088 - val_loss: 0.0631 - val_acc: 0.9797\n","Epoch 63/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.2470 - acc: 0.9271 - val_loss: 0.0566 - val_acc: 0.9780\n","Epoch 64/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.2984 - acc: 0.9103 - val_loss: 0.0864 - val_acc: 0.9662\n","Epoch 65/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.3034 - acc: 0.9046 - val_loss: 0.0830 - val_acc: 0.9746\n","Epoch 66/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.2464 - acc: 0.9187 - val_loss: 0.1251 - val_acc: 0.9645\n","Epoch 67/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.2577 - acc: 0.9202 - val_loss: 0.0494 - val_acc: 0.9898\n","Epoch 68/300\n","14/14 [==============================] - 1s 81ms/step - loss: 0.2510 - acc: 0.9280 - val_loss: 0.1882 - val_acc: 0.9509\n","Epoch 69/300\n","14/14 [==============================] - 1s 86ms/step - loss: 0.2189 - acc: 0.9321 - val_loss: 0.1128 - val_acc: 0.9729\n","Epoch 70/300\n","14/14 [==============================] - 1s 86ms/step - loss: 0.2337 - acc: 0.9318 - val_loss: 0.0748 - val_acc: 0.9865\n","Epoch 71/300\n","14/14 [==============================] - 1s 86ms/step - loss: 0.2345 - acc: 0.9306 - val_loss: 0.0904 - val_acc: 0.9797\n","Epoch 72/300\n","14/14 [==============================] - 1s 84ms/step - loss: 0.1839 - acc: 0.9465 - val_loss: 0.0685 - val_acc: 0.9865\n","Epoch 73/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.2086 - acc: 0.9390 - val_loss: 0.0985 - val_acc: 0.9797\n","Epoch 74/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.2132 - acc: 0.9321 - val_loss: 0.1473 - val_acc: 0.9695\n","Epoch 75/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.2074 - acc: 0.9300 - val_loss: 0.1307 - val_acc: 0.9662\n","Epoch 76/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.1884 - acc: 0.9408 - val_loss: 0.1579 - val_acc: 0.9577\n","Epoch 77/300\n","14/14 [==============================] - 1s 77ms/step - loss: 0.1847 - acc: 0.9414 - val_loss: 0.1400 - val_acc: 0.9679\n","Epoch 78/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.1730 - acc: 0.9471 - val_loss: 0.1528 - val_acc: 0.9662\n","Epoch 79/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.1601 - acc: 0.9537 - val_loss: 0.1443 - val_acc: 0.9662\n","Epoch 80/300\n","14/14 [==============================] - 1s 78ms/step - loss: 0.1448 - acc: 0.9578 - val_loss: 0.1582 - val_acc: 0.9662\n","Epoch 81/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.1092 - acc: 0.9653 - val_loss: 0.1399 - val_acc: 0.9662\n","Epoch 82/300\n","14/14 [==============================] - 1s 86ms/step - loss: 0.1188 - acc: 0.9638 - val_loss: 0.1698 - val_acc: 0.9679\n","Epoch 83/300\n","14/14 [==============================] - 1s 85ms/step - loss: 0.1565 - acc: 0.9590 - val_loss: 0.1419 - val_acc: 0.9628\n","Epoch 84/300\n","14/14 [==============================] - 1s 87ms/step - loss: 0.1624 - acc: 0.9534 - val_loss: 0.1954 - val_acc: 0.9662\n","Epoch 85/300\n","14/14 [==============================] - 1s 84ms/step - loss: 0.1176 - acc: 0.9623 - val_loss: 0.1610 - val_acc: 0.9695\n","Epoch 86/300\n","14/14 [==============================] - 1s 79ms/step - loss: 0.1240 - acc: 0.9605 - val_loss: 0.1901 - val_acc: 0.9679\n","Epoch 87/300\n","14/14 [==============================] - 1s 80ms/step - loss: 0.0994 - acc: 0.9707 - val_loss: 0.1644 - val_acc: 0.9695\n"]}]},{"cell_type":"code","source":["\n","y_pred = gnn_model_3.predict([test.index.to_numpy(), test.Disease.to_numpy()])\n","print(classification_report(np.argmax(y_pred, axis = 1), test.Disease))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"STuboLhzlQHg","executionInfo":{"status":"ok","timestamp":1703146428668,"user_tz":-420,"elapsed":32762,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"49f77a4f-f47b-4d2b-93c7-e3ff82cb978b"},"execution_count":80,"outputs":[{"output_type":"stream","name":"stdout","text":["31/31 [==============================] - 2s 17ms/step\n","              precision    recall  f1-score   support\n","\n","           0       1.00      1.00      1.00        33\n","           1       1.00      1.00      1.00        23\n","           2       1.00      1.00      1.00        23\n","           3       0.89      1.00      0.94        17\n","           4       1.00      0.87      0.93        30\n","           5       1.00      1.00      1.00        22\n","           6       0.95      0.91      0.93        23\n","           7       0.93      1.00      0.96        25\n","           8       0.90      1.00      0.95        18\n","           9       1.00      1.00      1.00        20\n","          10       1.00      1.00      1.00        20\n","          11       1.00      1.00      1.00        31\n","          12       1.00      1.00      1.00        25\n","          13       1.00      1.00      1.00        28\n","          14       1.00      1.00      1.00        21\n","          15       0.83      1.00      0.91        15\n","          16       1.00      1.00      1.00        23\n","          17       0.79      0.88      0.83        25\n","          18       0.88      1.00      0.94        23\n","          19       1.00      0.93      0.96        28\n","          20       0.93      1.00      0.96        27\n","          21       1.00      1.00      1.00        22\n","          22       1.00      1.00      1.00        28\n","          23       1.00      0.92      0.96        25\n","          24       1.00      1.00      1.00        25\n","          25       1.00      1.00      1.00        21\n","          26       1.00      1.00      1.00        25\n","          27       1.00      1.00      1.00        16\n","          28       1.00      1.00      1.00        25\n","          29       1.00      1.00      1.00        22\n","          30       1.00      0.96      0.98        23\n","          31       0.97      1.00      0.98        29\n","          32       0.91      1.00      0.95        20\n","          33       1.00      0.88      0.94        26\n","          34       1.00      1.00      1.00        25\n","          35       1.00      1.00      1.00        21\n","          36       1.00      1.00      1.00        22\n","          37       1.00      1.00      1.00        23\n","          38       1.00      0.76      0.86        29\n","          39       1.00      1.00      1.00        23\n","          40       1.00      1.00      1.00        34\n","\n","    accuracy                           0.98       984\n","   macro avg       0.98      0.98      0.98       984\n","weighted avg       0.98      0.98      0.98       984\n","\n"]}]},{"cell_type":"code","source":["plot(history_multi)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":401},"id":"fIlXdKXGlnuq","executionInfo":{"status":"ok","timestamp":1703146429586,"user_tz":-420,"elapsed":938,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}},"outputId":"d5026fca-143e-43d4-b3f5-083adf8eacf2"},"execution_count":81,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x400 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["del gnn_model_3"],"metadata":{"id":"6SnhgxIQgIaG","executionInfo":{"status":"ok","timestamp":1703147520646,"user_tz":-420,"elapsed":4,"user":{"displayName":"Minh Nguyen Dich Nhat","userId":"00227931749097444111"}}},"execution_count":134,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"4Qk4sRXQidpo"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["# Graph Strategy Multi-Head Attention"],"metadata":{"id":"RbyfFyRRdBUt"}},{"cell_type":"code","source":[],"metadata":{"id":"ICTtboV6dJPz"},"execution_count":null,"outputs":[]}]}