genetic_dataset_prediction_using_lazypredict.ipynb

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      "source": [
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")"
      ]
    },
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Patient Id</th>\n",
              "      <th>Patient Age</th>\n",
              "      <th>Genes in mother's side</th>\n",
              "      <th>Inherited from father</th>\n",
              "      <th>Maternal gene</th>\n",
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              "      <th>Patient First Name</th>\n",
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              "      <th>Father's name</th>\n",
              "      <th>...</th>\n",
              "      <th>Birth defects</th>\n",
              "      <th>White Blood cell count (thousand per microliter)</th>\n",
              "      <th>Blood test result</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>Genetic Disorder</th>\n",
              "      <th>Disorder Subclass</th>\n",
              "    </tr>\n",
              "  </thead>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>PID0x6418</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Mitochondrial genetic inheritance disorders</td>\n",
              "      <td>Leber's hereditary optic neuropathy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>PID0x25d5</td>\n",
              "      <td>4.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
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              "      <td>4.910669</td>\n",
              "      <td>Mike</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Brycen</td>\n",
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              "      <td>5.522560</td>\n",
              "      <td>normal</td>\n",
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              "      <td>1.0</td>\n",
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              "      <td>Cystic fibrosis</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PID0x4a82</td>\n",
              "      <td>6.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>4.893297</td>\n",
              "      <td>Kimberly</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Nashon</td>\n",
              "      <td>...</td>\n",
              "      <td>Singular</td>\n",
              "      <td>NaN</td>\n",
              "      <td>normal</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Multifactorial genetic inheritance disorders</td>\n",
              "      <td>Diabetes</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
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              "      <td>4.705280</td>\n",
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              "      <td>Leigh syndrome</td>\n",
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              "      <td>11.0</td>\n",
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              "      <td>Yes</td>\n",
              "      <td>4.720703</td>\n",
              "      <td>Johanna</td>\n",
              "      <td>Stutzman</td>\n",
              "      <td>Suave</td>\n",
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              "      <td>Multifactorial genetic inheritance disorders</td>\n",
              "      <td>Cancer</td>\n",
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              "  </tbody>\n",
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              "<p>5 rows × 45 columns</p>\n",
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            "text/plain": [
              "  Patient Id  Patient Age Genes in mother's side Inherited from father  \\\n",
              "0  PID0x6418          2.0                    Yes                    No   \n",
              "1  PID0x25d5          4.0                    Yes                   Yes   \n",
              "2  PID0x4a82          6.0                    Yes                    No   \n",
              "3  PID0x4ac8         12.0                    Yes                    No   \n",
              "4  PID0x1bf7         11.0                    Yes                    No   \n",
              "\n",
              "  Maternal gene Paternal gene  Blood cell count (mcL) Patient First Name  \\\n",
              "0           Yes            No                4.760603            Richard   \n",
              "1            No            No                4.910669               Mike   \n",
              "2            No            No                4.893297           Kimberly   \n",
              "3           Yes            No                4.705280            Jeffery   \n",
              "4           NaN           Yes                4.720703            Johanna   \n",
              "\n",
              "  Family Name Father's name  ...  Birth defects  \\\n",
              "0         NaN         Larre  ...            NaN   \n",
              "1         NaN        Brycen  ...       Multiple   \n",
              "2         NaN        Nashon  ...       Singular   \n",
              "3   Hoelscher        Aayaan  ...       Singular   \n",
              "4    Stutzman         Suave  ...       Multiple   \n",
              "\n",
              "   White Blood cell count (thousand per microliter) Blood test result  \\\n",
              "0                                          9.857562               NaN   \n",
              "1                                          5.522560            normal   \n",
              "2                                               NaN            normal   \n",
              "3                                          7.919321      inconclusive   \n",
              "4                                          4.098210               NaN   \n",
              "\n",
              "  Symptom 1 Symptom 2 Symptom 3 Symptom 4  Symptom 5  \\\n",
              "0       1.0       1.0       1.0       1.0        1.0   \n",
              "1       1.0       NaN       1.0       1.0        0.0   \n",
              "2       0.0       1.0       1.0       1.0        1.0   \n",
              "3       0.0       0.0       1.0       0.0        0.0   \n",
              "4       0.0       0.0       0.0       0.0        NaN   \n",
              "\n",
              "                               Genetic Disorder  \\\n",
              "0   Mitochondrial genetic inheritance disorders   \n",
              "1                                           NaN   \n",
              "2  Multifactorial genetic inheritance disorders   \n",
              "3   Mitochondrial genetic inheritance disorders   \n",
              "4  Multifactorial genetic inheritance disorders   \n",
              "\n",
              "                     Disorder Subclass  \n",
              "0  Leber's hereditary optic neuropathy  \n",
              "1                      Cystic fibrosis  \n",
              "2                             Diabetes  \n",
              "3                       Leigh syndrome  \n",
              "4                               Cancer  \n",
              "\n",
              "[5 rows x 45 columns]"
            ]
          },
          "execution_count": 2,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train=pd.read_csv(\"/content/train.csv\",encoding='utf-8')\n",
        "df_test=pd.read_csv(\"/content/test.csv\",encoding='utf-8')\n",
        "df_train.head()"
      ]
    },
    {
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      "execution_count": 3,
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        },
        "id": "1VppVqNi6olT",
        "outputId": "f81b101f-d539-4a32-e2d6-57f8313f52ee"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([\"Leber's hereditary optic neuropathy\", 'Cystic fibrosis',\n",
              "       'Diabetes', 'Leigh syndrome', 'Cancer', 'Tay-Sachs',\n",
              "       'Hemochromatosis', 'Mitochondrial myopathy', nan, \"Alzheimer's\"],\n",
              "      dtype=object)"
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train['Disorder Subclass'].unique()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        },
        "execution": {
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        {
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              "      <th></th>\n",
              "      <th>Patient Id</th>\n",
              "      <th>Patient Age</th>\n",
              "      <th>Genes in mother's side</th>\n",
              "      <th>Inherited from father</th>\n",
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              "      <th>Patient First Name</th>\n",
              "      <th>Family Name</th>\n",
              "      <th>Father's name</th>\n",
              "      <th>...</th>\n",
              "      <th>Birth defects</th>\n",
              "      <th>White Blood cell count (thousand per microliter)</th>\n",
              "      <th>Blood test result</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>Genetic Disorder</th>\n",
              "      <th>Disorder Subclass</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>22078</th>\n",
              "      <td>PID0x5598</td>\n",
              "      <td>4.0</td>\n",
              "      <td>Yes</td>\n",
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              "      <td>Yes</td>\n",
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              "      <td>5.258298</td>\n",
              "      <td>Lynn</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Alhassane</td>\n",
              "      <td>...</td>\n",
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              "      <td>6.584811</td>\n",
              "      <td>inconclusive</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Mitochondrial genetic inheritance disorders</td>\n",
              "      <td>Leigh syndrome</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22079</th>\n",
              "      <td>PID0x19cb</td>\n",
              "      <td>8.0</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>4.974220</td>\n",
              "      <td>Matthew</td>\n",
              "      <td>Farley</td>\n",
              "      <td>Dartanion</td>\n",
              "      <td>...</td>\n",
              "      <td>Multiple</td>\n",
              "      <td>7.041556</td>\n",
              "      <td>inconclusive</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Multifactorial genetic inheritance disorders</td>\n",
              "      <td>Diabetes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22080</th>\n",
              "      <td>PID0x3c4f</td>\n",
              "      <td>8.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>5.186470</td>\n",
              "      <td>John</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Cavani</td>\n",
              "      <td>...</td>\n",
              "      <td>Singular</td>\n",
              "      <td>7.715464</td>\n",
              "      <td>normal</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Mitochondrial genetic inheritance disorders</td>\n",
              "      <td>Mitochondrial myopathy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22081</th>\n",
              "      <td>PID0x13a</td>\n",
              "      <td>7.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>4.858543</td>\n",
              "      <td>Sharon</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Bomer</td>\n",
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              "      <td>8.437670</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Leigh syndrome</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22082</th>\n",
              "      <td>PID0x9332</td>\n",
              "      <td>11.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>4.738067</td>\n",
              "      <td>Andrew</td>\n",
              "      <td>Mose</td>\n",
              "      <td>Eban</td>\n",
              "      <td>...</td>\n",
              "      <td>Singular</td>\n",
              "      <td>11.188371</td>\n",
              "      <td>normal</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Multifactorial genetic inheritance disorders</td>\n",
              "      <td>Diabetes</td>\n",
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              "    width: 32px;\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
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              "      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",
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            ],
            "text/plain": [
              "      Patient Id  Patient Age Genes in mother's side Inherited from father  \\\n",
              "22078  PID0x5598          4.0                    Yes                   Yes   \n",
              "22079  PID0x19cb          8.0                     No                   Yes   \n",
              "22080  PID0x3c4f          8.0                    Yes                    No   \n",
              "22081   PID0x13a          7.0                    Yes                    No   \n",
              "22082  PID0x9332         11.0                    Yes                    No   \n",
              "\n",
              "      Maternal gene Paternal gene  Blood cell count (mcL) Patient First Name  \\\n",
              "22078           Yes            No                5.258298               Lynn   \n",
              "22079            No           Yes                4.974220            Matthew   \n",
              "22080           Yes            No                5.186470               John   \n",
              "22081           Yes           Yes                4.858543             Sharon   \n",
              "22082            No            No                4.738067             Andrew   \n",
              "\n",
              "      Family Name Father's name  ...  Birth defects  \\\n",
              "22078         NaN     Alhassane  ...       Multiple   \n",
              "22079      Farley     Dartanion  ...       Multiple   \n",
              "22080         NaN        Cavani  ...       Singular   \n",
              "22081         NaN         Bomer  ...       Multiple   \n",
              "22082        Mose          Eban  ...       Singular   \n",
              "\n",
              "       White Blood cell count (thousand per microliter) Blood test result  \\\n",
              "22078                                          6.584811      inconclusive   \n",
              "22079                                          7.041556      inconclusive   \n",
              "22080                                          7.715464            normal   \n",
              "22081                                          8.437670          abnormal   \n",
              "22082                                         11.188371            normal   \n",
              "\n",
              "      Symptom 1 Symptom 2 Symptom 3 Symptom 4  Symptom 5  \\\n",
              "22078       0.0       0.0       1.0       0.0        0.0   \n",
              "22079       1.0       1.0       1.0       1.0        0.0   \n",
              "22080       0.0       0.0       0.0       1.0        NaN   \n",
              "22081       1.0       1.0       1.0       0.0        0.0   \n",
              "22082       1.0       0.0       1.0       1.0        1.0   \n",
              "\n",
              "                                   Genetic Disorder       Disorder Subclass  \n",
              "22078   Mitochondrial genetic inheritance disorders          Leigh syndrome  \n",
              "22079  Multifactorial genetic inheritance disorders                Diabetes  \n",
              "22080   Mitochondrial genetic inheritance disorders  Mitochondrial myopathy  \n",
              "22081                                           NaN          Leigh syndrome  \n",
              "22082  Multifactorial genetic inheritance disorders                Diabetes  \n",
              "\n",
              "[5 rows x 45 columns]"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train.tail()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.123538Z",
          "iopub.status.busy": "2022-09-06T16:03:53.123248Z",
          "iopub.status.idle": "2022-09-06T16:03:53.130017Z",
          "shell.execute_reply": "2022-09-06T16:03:53.129008Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.123511Z"
        },
        "id": "40piSqXxyQkD",
        "outputId": "daaec1ca-6f4c-4c16-bad6-5704ed060093",
        "trusted": true
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Index(['Patient Id', 'Patient Age', 'Genes in mother's side',\n",
              "       'Inherited from father', 'Maternal gene', 'Paternal gene',\n",
              "       'Blood cell count (mcL)', 'Patient First Name', 'Family Name',\n",
              "       'Father's name', 'Mother's age', 'Father's age', 'Institute Name',\n",
              "       'Location of Institute', 'Status', 'Respiratory Rate (breaths/min)',\n",
              "       'Heart Rate (rates/min', 'Test 1', 'Test 2', 'Test 3', 'Test 4',\n",
              "       'Test 5', 'Parental consent', 'Follow-up', 'Gender', 'Birth asphyxia',\n",
              "       'Autopsy shows birth defect (if applicable)', 'Place of birth',\n",
              "       'Folic acid details (peri-conceptional)',\n",
              "       'H/O serious maternal illness', 'H/O radiation exposure (x-ray)',\n",
              "       'H/O substance abuse', 'Assisted conception IVF/ART',\n",
              "       'History of anomalies in previous pregnancies',\n",
              "       'No. of previous abortion', 'Birth defects',\n",
              "       'White Blood cell count (thousand per microliter)', 'Blood test result',\n",
              "       'Symptom 1', 'Symptom 2', 'Symptom 3', 'Symptom 4', 'Symptom 5',\n",
              "       'Genetic Disorder', 'Disorder Subclass'],\n",
              "      dtype='object')"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train.columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.131646Z",
          "iopub.status.busy": "2022-09-06T16:03:53.131332Z",
          "iopub.status.idle": "2022-09-06T16:03:53.202511Z",
          "shell.execute_reply": "2022-09-06T16:03:53.201506Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.131614Z"
        },
        "id": "_yXfdTBYyQkD",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "df_train.drop(\"Patient Id\",axis=1,inplace=True)\n",
        "df_train.drop(\"Family Name\",axis=1,inplace=True)\n",
        "df_train.drop(\"Patient First Name\",axis=1,inplace=True)\n",
        "df_train.drop(\"Father's name\",axis=1,inplace=True)\n",
        "df_train.drop(\"Institute Name\",axis=1,inplace=True)\n",
        "df_train.drop(\"Location of Institute\",axis=1,inplace=True)\n",
        "df_train.drop(\"Place of birth\",axis=1,inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.203767Z",
          "iopub.status.busy": "2022-09-06T16:03:53.203506Z",
          "iopub.status.idle": "2022-09-06T16:03:53.231549Z",
          "shell.execute_reply": "2022-09-06T16:03:53.230624Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.203745Z"
        },
        "id": "hk_8NvD5yQkD",
        "outputId": "09c24c30-f13b-4211-e5ea-7bbea54a9519",
        "trusted": true
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Patient Age                                         1427\n",
              "Genes in mother's side                                 0\n",
              "Inherited from father                                306\n",
              "Maternal gene                                       2810\n",
              "Paternal gene                                          0\n",
              "Blood cell count (mcL)                                 0\n",
              "Mother's age                                        6036\n",
              "Father's age                                        5986\n",
              "Status                                                 0\n",
              "Respiratory Rate (breaths/min)                      2149\n",
              "Heart Rate (rates/min                               2113\n",
              "Test 1                                              2127\n",
              "Test 2                                              2152\n",
              "Test 3                                              2147\n",
              "Test 4                                              2140\n",
              "Test 5                                              2170\n",
              "Parental consent                                    2125\n",
              "Follow-up                                           2166\n",
              "Gender                                              2173\n",
              "Birth asphyxia                                      2139\n",
              "Autopsy shows birth defect (if applicable)          1026\n",
              "Folic acid details (peri-conceptional)              2117\n",
              "H/O serious maternal illness                        2152\n",
              "H/O radiation exposure (x-ray)                      2153\n",
              "H/O substance abuse                                 2195\n",
              "Assisted conception IVF/ART                         2122\n",
              "History of anomalies in previous pregnancies        2172\n",
              "No. of previous abortion                            2162\n",
              "Birth defects                                       2154\n",
              "White Blood cell count (thousand per microliter)    2148\n",
              "Blood test result                                   2145\n",
              "Symptom 1                                           2155\n",
              "Symptom 2                                           2222\n",
              "Symptom 3                                           2101\n",
              "Symptom 4                                           2113\n",
              "Symptom 5                                           2153\n",
              "Genetic Disorder                                    2146\n",
              "Disorder Subclass                                   2168\n",
              "dtype: int64"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train.isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.234020Z",
          "iopub.status.busy": "2022-09-06T16:03:53.233601Z",
          "iopub.status.idle": "2022-09-06T16:03:53.388932Z",
          "shell.execute_reply": "2022-09-06T16:03:53.387725Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.233982Z"
        },
        "id": "CM3Nte5-yQkD",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "df_train[\"Patient Age\"].fillna(str(df_train[\"Patient Age\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Inherited from father\"].fillna(str(df_train[\"Inherited from father\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Maternal gene\"].fillna(str(df_train[\"Maternal gene\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Mother's age\"].fillna(str(df_train[\"Mother's age\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Father's age\"].fillna(str(df_train[\"Father's age\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Respiratory Rate (breaths/min)\"].fillna(str(df_train[\"Respiratory Rate (breaths/min)\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Heart Rate (rates/min\"].fillna(str(df_train[\"Heart Rate (rates/min\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Test 1\"].fillna(str(df_train[\"Test 1\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Test 2\"].fillna(str(df_train[\"Test 2\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Test 3\"].fillna(str(df_train[\"Test 3\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Test 4\"].fillna(str(df_train[\"Test 4\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Test 5\"].fillna(str(df_train[\"Test 5\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Parental consent\"].fillna(str(df_train[\"Parental consent\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Follow-up\"].fillna(str(df_train[\"Follow-up\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Gender\"].fillna(str(df_train[\"Gender\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Birth asphyxia\"].fillna(str(df_train[\"Birth asphyxia\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Autopsy shows birth defect (if applicable)\"].fillna(str(df_train[\"Autopsy shows birth defect (if applicable)\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Folic acid details (peri-conceptional)\"].fillna(str(df_train[\"Folic acid details (peri-conceptional)\"].mode().values[0]),inplace=True)\n",
        "df_train[\"H/O serious maternal illness\"].fillna(str(df_train[\"H/O serious maternal illness\"].mode().values[0]),inplace=True)\n",
        "df_train[\"H/O radiation exposure (x-ray)\"].fillna(str(df_train[\"H/O radiation exposure (x-ray)\"].mode().values[0]),inplace=True)\n",
        "df_train[\"H/O substance abuse\"].fillna(str(df_train[\"H/O substance abuse\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Assisted conception IVF/ART\"].fillna(str(df_train[\"Assisted conception IVF/ART\"].mode().values[0]),inplace=True)\n",
        "df_train[\"History of anomalies in previous pregnancies\"].fillna(str(df_train[\"History of anomalies in previous pregnancies\"].mode().values[0]),inplace=True)\n",
        "df_train[\"No. of previous abortion\"].fillna(str(df_train[\"No. of previous abortion\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Birth defects\"].fillna(str(df_train[\"Birth defects\"].mode().values[0]),inplace=True)\n",
        "df_train[\"White Blood cell count (thousand per microliter)\"].fillna(str(df_train[\"White Blood cell count (thousand per microliter)\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Blood test result\"].fillna(str(df_train[\"Blood test result\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Symptom 1\"].fillna(str(df_train[\"Symptom 1\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Symptom 2\"].fillna(str(df_train[\"Symptom 2\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Symptom 3\"].fillna(str(df_train[\"Symptom 3\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Symptom 4\"].fillna(str(df_train[\"Symptom 4\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Symptom 5\"].fillna(str(df_train[\"Symptom 5\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Genetic Disorder\"].fillna(str(df_train[\"Genetic Disorder\"].mode().values[0]),inplace=True)\n",
        "df_train[\"Disorder Subclass\"].fillna(str(df_train[\"Disorder Subclass\"].mode().values[0]),inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.391470Z",
          "iopub.status.busy": "2022-09-06T16:03:53.390381Z",
          "iopub.status.idle": "2022-09-06T16:03:53.453007Z",
          "shell.execute_reply": "2022-09-06T16:03:53.452300Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.391427Z"
        },
        "id": "nKsSGF7MyQkE",
        "outputId": "04a842a6-6d3e-4d27-f2b1-9cf2a331cc03",
        "trusted": true
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Patient Age                                         0\n",
              "Genes in mother's side                              0\n",
              "Inherited from father                               0\n",
              "Maternal gene                                       0\n",
              "Paternal gene                                       0\n",
              "Blood cell count (mcL)                              0\n",
              "Mother's age                                        0\n",
              "Father's age                                        0\n",
              "Status                                              0\n",
              "Respiratory Rate (breaths/min)                      0\n",
              "Heart Rate (rates/min                               0\n",
              "Test 1                                              0\n",
              "Test 2                                              0\n",
              "Test 3                                              0\n",
              "Test 4                                              0\n",
              "Test 5                                              0\n",
              "Parental consent                                    0\n",
              "Follow-up                                           0\n",
              "Gender                                              0\n",
              "Birth asphyxia                                      0\n",
              "Autopsy shows birth defect (if applicable)          0\n",
              "Folic acid details (peri-conceptional)              0\n",
              "H/O serious maternal illness                        0\n",
              "H/O radiation exposure (x-ray)                      0\n",
              "H/O substance abuse                                 0\n",
              "Assisted conception IVF/ART                         0\n",
              "History of anomalies in previous pregnancies        0\n",
              "No. of previous abortion                            0\n",
              "Birth defects                                       0\n",
              "White Blood cell count (thousand per microliter)    0\n",
              "Blood test result                                   0\n",
              "Symptom 1                                           0\n",
              "Symptom 2                                           0\n",
              "Symptom 3                                           0\n",
              "Symptom 4                                           0\n",
              "Symptom 5                                           0\n",
              "Genetic Disorder                                    0\n",
              "Disorder Subclass                                   0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train.isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 548
        },
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.454444Z",
          "iopub.status.busy": "2022-09-06T16:03:53.454024Z",
          "iopub.status.idle": "2022-09-06T16:03:53.479069Z",
          "shell.execute_reply": "2022-09-06T16:03:53.478082Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.454417Z"
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        "id": "pdHPNkKjyQkE",
        "outputId": "b56baaaf-0b88-4cbc-bf79-70e6dc8d8e72",
        "trusted": true
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-323328ac-62f0-4473-b6cb-baec8b6cc73a\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Patient Age</th>\n",
              "      <th>Genes in mother's side</th>\n",
              "      <th>Inherited from father</th>\n",
              "      <th>Maternal gene</th>\n",
              "      <th>Paternal gene</th>\n",
              "      <th>Blood cell count (mcL)</th>\n",
              "      <th>Mother's age</th>\n",
              "      <th>Father's age</th>\n",
              "      <th>Status</th>\n",
              "      <th>Respiratory Rate (breaths/min)</th>\n",
              "      <th>...</th>\n",
              "      <th>Birth defects</th>\n",
              "      <th>White Blood cell count (thousand per microliter)</th>\n",
              "      <th>Blood test result</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>Genetic Disorder</th>\n",
              "      <th>Disorder Subclass</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>4.760603</td>\n",
              "      <td>23.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>Alive</td>\n",
              "      <td>Normal (30-60)</td>\n",
              "      <td>...</td>\n",
              "      <td>Singular</td>\n",
              "      <td>9.857562</td>\n",
              "      <td>slightly abnormal</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Mitochondrial genetic inheritance disorders</td>\n",
              "      <td>Leber's hereditary optic neuropathy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>4.910669</td>\n",
              "      <td>23.0</td>\n",
              "      <td>23.0</td>\n",
              "      <td>Deceased</td>\n",
              "      <td>Tachypnea</td>\n",
              "      <td>...</td>\n",
              "      <td>Multiple</td>\n",
              "      <td>5.52256</td>\n",
              "      <td>normal</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Mitochondrial genetic inheritance disorders</td>\n",
              "      <td>Cystic fibrosis</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>6.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>4.893297</td>\n",
              "      <td>41.0</td>\n",
              "      <td>22.0</td>\n",
              "      <td>Alive</td>\n",
              "      <td>Normal (30-60)</td>\n",
              "      <td>...</td>\n",
              "      <td>Singular</td>\n",
              "      <td>3.0</td>\n",
              "      <td>normal</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Multifactorial genetic inheritance disorders</td>\n",
              "      <td>Diabetes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>12.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>4.705280</td>\n",
              "      <td>21.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>Deceased</td>\n",
              "      <td>Tachypnea</td>\n",
              "      <td>...</td>\n",
              "      <td>Singular</td>\n",
              "      <td>7.919321</td>\n",
              "      <td>inconclusive</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Mitochondrial genetic inheritance disorders</td>\n",
              "      <td>Leigh syndrome</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>11.0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>4.720703</td>\n",
              "      <td>32.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>Alive</td>\n",
              "      <td>Tachypnea</td>\n",
              "      <td>...</td>\n",
              "      <td>Multiple</td>\n",
              "      <td>4.09821</td>\n",
              "      <td>slightly abnormal</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Multifactorial genetic inheritance disorders</td>\n",
              "      <td>Cancer</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 38 columns</p>\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
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              "\n",
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              "        document.querySelector('#df-323328ac-62f0-4473-b6cb-baec8b6cc73a 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-323328ac-62f0-4473-b6cb-baec8b6cc73a');\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",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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            ],
            "text/plain": [
              "  Patient Age Genes in mother's side Inherited from father Maternal gene  \\\n",
              "0         2.0                    Yes                    No           Yes   \n",
              "1         4.0                    Yes                   Yes            No   \n",
              "2         6.0                    Yes                    No            No   \n",
              "3        12.0                    Yes                    No           Yes   \n",
              "4        11.0                    Yes                    No           Yes   \n",
              "\n",
              "  Paternal gene  Blood cell count (mcL) Mother's age Father's age    Status  \\\n",
              "0            No                4.760603         23.0         20.0     Alive   \n",
              "1            No                4.910669         23.0         23.0  Deceased   \n",
              "2            No                4.893297         41.0         22.0     Alive   \n",
              "3            No                4.705280         21.0         20.0  Deceased   \n",
              "4           Yes                4.720703         32.0         20.0     Alive   \n",
              "\n",
              "  Respiratory Rate (breaths/min)  ... Birth defects  \\\n",
              "0                 Normal (30-60)  ...      Singular   \n",
              "1                      Tachypnea  ...      Multiple   \n",
              "2                 Normal (30-60)  ...      Singular   \n",
              "3                      Tachypnea  ...      Singular   \n",
              "4                      Tachypnea  ...      Multiple   \n",
              "\n",
              "  White Blood cell count (thousand per microliter)  Blood test result  \\\n",
              "0                                         9.857562  slightly abnormal   \n",
              "1                                          5.52256             normal   \n",
              "2                                              3.0             normal   \n",
              "3                                         7.919321       inconclusive   \n",
              "4                                          4.09821  slightly abnormal   \n",
              "\n",
              "  Symptom 1 Symptom 2 Symptom 3 Symptom 4 Symptom 5  \\\n",
              "0       1.0       1.0       1.0       1.0       1.0   \n",
              "1       1.0       1.0       1.0       1.0       0.0   \n",
              "2       0.0       1.0       1.0       1.0       1.0   \n",
              "3       0.0       0.0       1.0       0.0       0.0   \n",
              "4       0.0       0.0       0.0       0.0       0.0   \n",
              "\n",
              "                               Genetic Disorder  \\\n",
              "0   Mitochondrial genetic inheritance disorders   \n",
              "1   Mitochondrial genetic inheritance disorders   \n",
              "2  Multifactorial genetic inheritance disorders   \n",
              "3   Mitochondrial genetic inheritance disorders   \n",
              "4  Multifactorial genetic inheritance disorders   \n",
              "\n",
              "                     Disorder Subclass  \n",
              "0  Leber's hereditary optic neuropathy  \n",
              "1                      Cystic fibrosis  \n",
              "2                             Diabetes  \n",
              "3                       Leigh syndrome  \n",
              "4                               Cancer  \n",
              "\n",
              "[5 rows x 38 columns]"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.543718Z",
          "iopub.status.busy": "2022-09-06T16:03:53.542943Z",
          "iopub.status.idle": "2022-09-06T16:03:53.699742Z",
          "shell.execute_reply": "2022-09-06T16:03:53.698608Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.543689Z"
        },
        "id": "BbCbGJ4YyQkF",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "df_train[\"Genes in mother's side\"]=[1 if i.strip()== \"Yes\" else 0 for i in df_train[\"Genes in mother's side\"]]\n",
        "df_train[\"Inherited from father\"]=[1 if i.strip()== \"Yes\" else 0 for i in df_train[\"Inherited from father\"]]\n",
        "df_train[\"Maternal gene\"]=[1 if i.strip()== \"Yes\" else 0 for i in df_train[\"Maternal gene\"]]\n",
        "df_train[\"Paternal gene\"]=[1 if i.strip()== \"Yes\" else 0 for i in df_train[\"Paternal gene\"]]\n",
        "df_train[\"Parental consent\"]=[1 if i.strip()== \"Yes\" else 0 for i in df_train[\"Parental consent\"]]\n",
        "df_train[\"Birth asphyxia\"]=[1 if i.strip()== \"Yes\" else 0 for i in df_train[\"Birth asphyxia\"]]\n",
        "df_train[\"Folic acid details (peri-conceptional)\"]=[1 if i.strip()== \"Yes\" else 0 for i in df_train[\"Folic acid details (peri-conceptional)\"]]\n",
        "df_train[\"H/O radiation exposure (x-ray)\"]=[1 if i.strip()== \"Yes\" else 0 for i in df_train[\"H/O radiation exposure (x-ray)\"]]\n",
        "df_train[\"H/O substance abuse\"]=[1 if i.strip()== \"Yes\" else 0 for i in df_train[\"H/O substance abuse\"]]\n",
        "df_train[\"Assisted conception IVF/ART\"]=[1 if i.strip()== \"Yes\" else 0 for i in df_train[\"Assisted conception IVF/ART\"]]\n",
        "df_train[\"History of anomalies in previous pregnancies\"]=[1 if i.strip()== \"Yes\" else 0 for i in df_train[\"History of anomalies in previous pregnancies\"]]\n",
        "df_train[\"H/O serious maternal illness\"]=[1 if i.strip()==\"Yes\" else 0 for i in df_train[\"H/O serious maternal illness\"]]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
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          "height": 548
        },
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.701396Z",
          "iopub.status.busy": "2022-09-06T16:03:53.701062Z",
          "iopub.status.idle": "2022-09-06T16:03:53.728121Z",
          "shell.execute_reply": "2022-09-06T16:03:53.727025Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.701368Z"
        },
        "id": "qFItPO-oyQkF",
        "outputId": "7797742c-80ac-4d23-b483-ca23da273e5b",
        "trusted": true
      },
      "outputs": [
        {
          "data": {
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              "      <th></th>\n",
              "      <th>Patient Age</th>\n",
              "      <th>Genes in mother's side</th>\n",
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              "      <td>4.0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4.893297</td>\n",
              "      <td>41.0</td>\n",
              "      <td>22.0</td>\n",
              "      <td>Alive</td>\n",
              "      <td>Normal (30-60)</td>\n",
              "      <td>...</td>\n",
              "      <td>Singular</td>\n",
              "      <td>3.0</td>\n",
              "      <td>normal</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
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              "      <td>Multifactorial genetic inheritance disorders</td>\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a8c59d42-f3ef-45a4-8a7e-998a9ed50144')\"\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-a8c59d42-f3ef-45a4-8a7e-998a9ed50144 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "  Patient Age  Genes in mother's side  Inherited from father  Maternal gene  \\\n",
              "0         2.0                       1                      0              1   \n",
              "1         4.0                       1                      1              0   \n",
              "2         6.0                       1                      0              0   \n",
              "3        12.0                       1                      0              1   \n",
              "4        11.0                       1                      0              1   \n",
              "\n",
              "   Paternal gene  Blood cell count (mcL) Mother's age Father's age    Status  \\\n",
              "0              0                4.760603         23.0         20.0     Alive   \n",
              "1              0                4.910669         23.0         23.0  Deceased   \n",
              "2              0                4.893297         41.0         22.0     Alive   \n",
              "3              0                4.705280         21.0         20.0  Deceased   \n",
              "4              1                4.720703         32.0         20.0     Alive   \n",
              "\n",
              "  Respiratory Rate (breaths/min)  ... Birth defects  \\\n",
              "0                 Normal (30-60)  ...      Singular   \n",
              "1                      Tachypnea  ...      Multiple   \n",
              "2                 Normal (30-60)  ...      Singular   \n",
              "3                      Tachypnea  ...      Singular   \n",
              "4                      Tachypnea  ...      Multiple   \n",
              "\n",
              "  White Blood cell count (thousand per microliter)  Blood test result  \\\n",
              "0                                         9.857562  slightly abnormal   \n",
              "1                                          5.52256             normal   \n",
              "2                                              3.0             normal   \n",
              "3                                         7.919321       inconclusive   \n",
              "4                                          4.09821  slightly abnormal   \n",
              "\n",
              "  Symptom 1 Symptom 2 Symptom 3  Symptom 4 Symptom 5  \\\n",
              "0       1.0       1.0       1.0        1.0       1.0   \n",
              "1       1.0       1.0       1.0        1.0       0.0   \n",
              "2       0.0       1.0       1.0        1.0       1.0   \n",
              "3       0.0       0.0       1.0        0.0       0.0   \n",
              "4       0.0       0.0       0.0        0.0       0.0   \n",
              "\n",
              "                               Genetic Disorder  \\\n",
              "0   Mitochondrial genetic inheritance disorders   \n",
              "1   Mitochondrial genetic inheritance disorders   \n",
              "2  Multifactorial genetic inheritance disorders   \n",
              "3   Mitochondrial genetic inheritance disorders   \n",
              "4  Multifactorial genetic inheritance disorders   \n",
              "\n",
              "                     Disorder Subclass  \n",
              "0  Leber's hereditary optic neuropathy  \n",
              "1                      Cystic fibrosis  \n",
              "2                             Diabetes  \n",
              "3                       Leigh syndrome  \n",
              "4                               Cancer  \n",
              "\n",
              "[5 rows x 38 columns]"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.748073Z",
          "iopub.status.busy": "2022-09-06T16:03:53.747649Z",
          "iopub.status.idle": "2022-09-06T16:03:53.778896Z",
          "shell.execute_reply": "2022-09-06T16:03:53.777693Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.748034Z"
        },
        "id": "hYHSn9gDyQkF",
        "outputId": "cf715502-ba2c-4d99-edfe-93701d0b00ab",
        "trusted": true
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Status:  ['Alive' 'Deceased']\n",
            "Respiratory Rate (breaths/min):  ['Normal (30-60)' 'Tachypnea']\n",
            "Heart Rate (rates/min:  ['Normal' 'Tachycardia']\n",
            "Follow-up:  ['High' 'Low']\n",
            "Gender:  ['Ambiguous' 'Male' 'Female']\n",
            "Autopsy shows birth defect (if applicable):  ['Not applicable' 'None' 'No' 'Yes']\n",
            "Birth defects:  ['Singular' 'Multiple']\n",
            "Blood test result:  ['slightly abnormal' 'normal' 'inconclusive' 'abnormal']\n",
            "Genetic Disorder:  ['Mitochondrial genetic inheritance disorders'\n",
            " 'Multifactorial genetic inheritance disorders'\n",
            " 'Single-gene inheritance diseases']\n",
            "Disorder Subclass:  [\"Leber's hereditary optic neuropathy\" 'Cystic fibrosis' 'Diabetes'\n",
            " 'Leigh syndrome' 'Cancer' 'Tay-Sachs' 'Hemochromatosis'\n",
            " 'Mitochondrial myopathy' \"Alzheimer's\"]\n"
          ]
        }
      ],
      "source": [
        "print(\"Status: \",df_train[\"Status\"].unique())\n",
        "print(\"Respiratory Rate (breaths/min): \",df_train[\"Respiratory Rate (breaths/min)\"].unique())\n",
        "print(\"Heart Rate (rates/min: \",df_train[\"Heart Rate (rates/min\"].unique())\n",
        "print(\"Follow-up: \",df_train[\"Follow-up\"].unique())\n",
        "print(\"Gender: \",df_train[\"Gender\"].unique())\n",
        "print(\"Autopsy shows birth defect (if applicable): \",df_train[\"Autopsy shows birth defect (if applicable)\"].unique())\n",
        "print(\"Birth defects: \",df_train[\"Birth defects\"].unique())\n",
        "print(\"Blood test result: \",df_train[\"Blood test result\"].unique())\n",
        "print(\"Genetic Disorder: \",df_train[\"Genetic Disorder\"].unique())\n",
        "print(\"Disorder Subclass: \",df_train[\"Disorder Subclass\"].unique())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.781287Z",
          "iopub.status.busy": "2022-09-06T16:03:53.780559Z",
          "iopub.status.idle": "2022-09-06T16:03:53.857882Z",
          "shell.execute_reply": "2022-09-06T16:03:53.856565Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.781250Z"
        },
        "id": "iBu_HYQAyQkF",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "#Alive':1 'Deceased:0'\n",
        "df_train[\"Status\"]=[1 if i.strip()== \"Alive\" else 0 for i in df_train[\"Status\"]]\n",
        "#Normal (30-60):1' 'Tachypnea:0\n",
        "df_train[\"Respiratory Rate (breaths/min)\"]=[1 if i.strip()== \"Normal (30-60)\" else 0 for i in df_train[\"Respiratory Rate (breaths/min)\"]]\n",
        "#Normal:1' 'Tachycardia:0\n",
        "df_train[\"Heart Rate (rates/min\"]=[1 if i.strip()== \"Normal\" else 0 for i in df_train[\"Heart Rate (rates/min\"]]\n",
        "#High:1, Low:0\n",
        "df_train[\"Follow-up\"]=[1 if i.strip()== \"High\" else 0 for i in df_train[\"Follow-up\"]]\n",
        "#['Singular' 'Multiple']\n",
        "df_train[\"Birth defects\"]=[1 if i.strip()== \"Singular\" else 0 for i in df_train[\"Birth defects\"]]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.859797Z",
          "iopub.status.busy": "2022-09-06T16:03:53.859468Z",
          "iopub.status.idle": "2022-09-06T16:03:53.877349Z",
          "shell.execute_reply": "2022-09-06T16:03:53.876206Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.859749Z"
        },
        "id": "Ci88GUqxyQkG",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "#1: male 0: female 2: ambiguous\n",
        "df_train[\"Gender\"]=[1 if i.strip()== \"Male\" else 0 if i.strip() == \"Female\" else 2 for i in df_train[\"Gender\"]]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.893348Z",
          "iopub.status.busy": "2022-09-06T16:03:53.892183Z",
          "iopub.status.idle": "2022-09-06T16:03:53.914133Z",
          "shell.execute_reply": "2022-09-06T16:03:53.913319Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.893307Z"
        },
        "id": "udwYHI2yyQkG",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "#Not applicable:3' 'None:2' 'No:0' 'Yes:1'\n",
        "df_train[\"Autopsy shows birth defect (if applicable)\"]=[1 if i.strip()== \"Yes\" else 0 if i.strip() == \"No\" else 2 if i.strip()==\"None\" else 3 for i in df_train[\"Autopsy shows birth defect (if applicable)\"]]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.925610Z",
          "iopub.status.busy": "2022-09-06T16:03:53.925059Z",
          "iopub.status.idle": "2022-09-06T16:03:53.946747Z",
          "shell.execute_reply": "2022-09-06T16:03:53.946060Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.925583Z"
        },
        "id": "7uL33-f1yQkG",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "#'slightly abnormal':1, 'normal':0, 'inconclusive':2 'abnormal:3']\n",
        "df_train[\"Blood test result\"]=[1 if i.strip()== \"slightly abnormal\" else 0 if i.strip() == \"normal\" else 2 if i.strip()==\"inconclusive\" else 3 for i in df_train[\"Blood test result\"]]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.959114Z",
          "iopub.status.busy": "2022-09-06T16:03:53.957814Z",
          "iopub.status.idle": "2022-09-06T16:03:53.976471Z",
          "shell.execute_reply": "2022-09-06T16:03:53.975443Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.958992Z"
        },
        "id": "P6l34aj7yQkG",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "#'Mitochondrial genetic inheritance disorders':1,'Multifactorial genetic inheritance disorders':0'Single-gene inheritance diseases:2'\n",
        "df_train[\"Genetic Disorder\"]=[1 if i.strip()== \"Mitochondrial genetic inheritance disorders\" else 0 if i.strip() == \"Multifactorial genetic inheritance disorders\" else 2 for i in df_train[\"Genetic Disorder\"]]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:53.990924Z",
          "iopub.status.busy": "2022-09-06T16:03:53.988446Z",
          "iopub.status.idle": "2022-09-06T16:03:54.021334Z",
          "shell.execute_reply": "2022-09-06T16:03:54.020242Z",
          "shell.execute_reply.started": "2022-09-06T16:03:53.990878Z"
        },
        "id": "SZohvAw3yQkH",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "\n",
        "df_train[\"Disorder Subclass\"]=[1 if i.strip()== \"Leber's hereditary optic neuropathy\"\n",
        "                                else 0 if i.strip() == \"Cystic fibrosis\"\n",
        "                               else 2 if i.strip()==\"Diabetes\"\n",
        "                               else 3 if i.strip()==\"Leigh syndrome\"\n",
        "                               else 4 if i.strip()==\"Cancer\"\n",
        "                               else 5 if i.strip()==\"Tay-Sachs\"\n",
        "                               else 6 if i.strip()==\"Hemochromatosis\"\n",
        "                               else 7 if i.strip()==\"Mitochondrial myopathy\"\n",
        "                               else 8 for i in df_train[\"Disorder Subclass\"]]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:54.022961Z",
          "iopub.status.busy": "2022-09-06T16:03:54.022643Z",
          "iopub.status.idle": "2022-09-06T16:03:54.055876Z",
          "shell.execute_reply": "2022-09-06T16:03:54.054711Z",
          "shell.execute_reply.started": "2022-09-06T16:03:54.022934Z"
        },
        "id": "detqeLHpyQkH",
        "outputId": "8d5b36a9-fd12-46a0-be84-7cbc403b78c9",
        "trusted": true
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 22083 entries, 0 to 22082\n",
            "Data columns (total 38 columns):\n",
            " #   Column                                            Non-Null Count  Dtype  \n",
            "---  ------                                            --------------  -----  \n",
            " 0   Patient Age                                       22083 non-null  object \n",
            " 1   Genes in mother's side                            22083 non-null  int64  \n",
            " 2   Inherited from father                             22083 non-null  int64  \n",
            " 3   Maternal gene                                     22083 non-null  int64  \n",
            " 4   Paternal gene                                     22083 non-null  int64  \n",
            " 5   Blood cell count (mcL)                            22083 non-null  float64\n",
            " 6   Mother's age                                      22083 non-null  object \n",
            " 7   Father's age                                      22083 non-null  object \n",
            " 8   Status                                            22083 non-null  int64  \n",
            " 9   Respiratory Rate (breaths/min)                    22083 non-null  int64  \n",
            " 10  Heart Rate (rates/min                             22083 non-null  int64  \n",
            " 11  Test 1                                            22083 non-null  object \n",
            " 12  Test 2                                            22083 non-null  object \n",
            " 13  Test 3                                            22083 non-null  object \n",
            " 14  Test 4                                            22083 non-null  object \n",
            " 15  Test 5                                            22083 non-null  object \n",
            " 16  Parental consent                                  22083 non-null  int64  \n",
            " 17  Follow-up                                         22083 non-null  int64  \n",
            " 18  Gender                                            22083 non-null  int64  \n",
            " 19  Birth asphyxia                                    22083 non-null  int64  \n",
            " 20  Autopsy shows birth defect (if applicable)        22083 non-null  int64  \n",
            " 21  Folic acid details (peri-conceptional)            22083 non-null  int64  \n",
            " 22  H/O serious maternal illness                      22083 non-null  int64  \n",
            " 23  H/O radiation exposure (x-ray)                    22083 non-null  int64  \n",
            " 24  H/O substance abuse                               22083 non-null  int64  \n",
            " 25  Assisted conception IVF/ART                       22083 non-null  int64  \n",
            " 26  History of anomalies in previous pregnancies      22083 non-null  int64  \n",
            " 27  No. of previous abortion                          22083 non-null  object \n",
            " 28  Birth defects                                     22083 non-null  int64  \n",
            " 29  White Blood cell count (thousand per microliter)  22083 non-null  object \n",
            " 30  Blood test result                                 22083 non-null  int64  \n",
            " 31  Symptom 1                                         22083 non-null  object \n",
            " 32  Symptom 2                                         22083 non-null  object \n",
            " 33  Symptom 3                                         22083 non-null  object \n",
            " 34  Symptom 4                                         22083 non-null  object \n",
            " 35  Symptom 5                                         22083 non-null  object \n",
            " 36  Genetic Disorder                                  22083 non-null  int64  \n",
            " 37  Disorder Subclass                                 22083 non-null  int64  \n",
            "dtypes: float64(1), int64(22), object(15)\n",
            "memory usage: 6.4+ MB\n"
          ]
        }
      ],
      "source": [
        "df_train.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:54.057972Z",
          "iopub.status.busy": "2022-09-06T16:03:54.057509Z",
          "iopub.status.idle": "2022-09-06T16:03:54.112639Z",
          "shell.execute_reply": "2022-09-06T16:03:54.111579Z",
          "shell.execute_reply.started": "2022-09-06T16:03:54.057924Z"
        },
        "id": "CeNFlstwyQkH",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "df_train = df_train.apply(pd.to_numeric,downcast=\"float\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:54.119744Z",
          "iopub.status.busy": "2022-09-06T16:03:54.119432Z",
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            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 22083 entries, 0 to 22082\n",
            "Data columns (total 38 columns):\n",
            " #   Column                                            Non-Null Count  Dtype  \n",
            "---  ------                                            --------------  -----  \n",
            " 0   Patient Age                                       22083 non-null  float32\n",
            " 1   Genes in mother's side                            22083 non-null  float32\n",
            " 2   Inherited from father                             22083 non-null  float32\n",
            " 3   Maternal gene                                     22083 non-null  float32\n",
            " 4   Paternal gene                                     22083 non-null  float32\n",
            " 5   Blood cell count (mcL)                            22083 non-null  float32\n",
            " 6   Mother's age                                      22083 non-null  float32\n",
            " 7   Father's age                                      22083 non-null  float32\n",
            " 8   Status                                            22083 non-null  float32\n",
            " 9   Respiratory Rate (breaths/min)                    22083 non-null  float32\n",
            " 10  Heart Rate (rates/min                             22083 non-null  float32\n",
            " 11  Test 1                                            22083 non-null  float32\n",
            " 12  Test 2                                            22083 non-null  float32\n",
            " 13  Test 3                                            22083 non-null  float32\n",
            " 14  Test 4                                            22083 non-null  float32\n",
            " 15  Test 5                                            22083 non-null  float32\n",
            " 16  Parental consent                                  22083 non-null  float32\n",
            " 17  Follow-up                                         22083 non-null  float32\n",
            " 18  Gender                                            22083 non-null  float32\n",
            " 19  Birth asphyxia                                    22083 non-null  float32\n",
            " 20  Autopsy shows birth defect (if applicable)        22083 non-null  float32\n",
            " 21  Folic acid details (peri-conceptional)            22083 non-null  float32\n",
            " 22  H/O serious maternal illness                      22083 non-null  float32\n",
            " 23  H/O radiation exposure (x-ray)                    22083 non-null  float32\n",
            " 24  H/O substance abuse                               22083 non-null  float32\n",
            " 25  Assisted conception IVF/ART                       22083 non-null  float32\n",
            " 26  History of anomalies in previous pregnancies      22083 non-null  float32\n",
            " 27  No. of previous abortion                          22083 non-null  float32\n",
            " 28  Birth defects                                     22083 non-null  float32\n",
            " 29  White Blood cell count (thousand per microliter)  22083 non-null  float32\n",
            " 30  Blood test result                                 22083 non-null  float32\n",
            " 31  Symptom 1                                         22083 non-null  float32\n",
            " 32  Symptom 2                                         22083 non-null  float32\n",
            " 33  Symptom 3                                         22083 non-null  float32\n",
            " 34  Symptom 4                                         22083 non-null  float32\n",
            " 35  Symptom 5                                         22083 non-null  float32\n",
            " 36  Genetic Disorder                                  22083 non-null  float32\n",
            " 37  Disorder Subclass                                 22083 non-null  float32\n",
            "dtypes: float32(38)\n",
            "memory usage: 3.2 MB\n"
          ]
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            "text/plain": [
              "   Patient Age  Genes in mother's side  Inherited from father  Maternal gene  \\\n",
              "0          2.0                     1.0                    0.0            1.0   \n",
              "1          4.0                     1.0                    1.0            0.0   \n",
              "2          6.0                     1.0                    0.0            0.0   \n",
              "3         12.0                     1.0                    0.0            1.0   \n",
              "4         11.0                     1.0                    0.0            1.0   \n",
              "\n",
              "   Paternal gene  Blood cell count (mcL)  Mother's age  Father's age  Status  \\\n",
              "0            0.0                4.760603          23.0          20.0     1.0   \n",
              "1            0.0                4.910669          23.0          23.0     0.0   \n",
              "2            0.0                4.893297          41.0          22.0     1.0   \n",
              "3            0.0                4.705280          21.0          20.0     0.0   \n",
              "4            1.0                4.720703          32.0          20.0     1.0   \n",
              "\n",
              "   Respiratory Rate (breaths/min)  ...  Birth defects  \\\n",
              "0                             1.0  ...            1.0   \n",
              "1                             0.0  ...            0.0   \n",
              "2                             1.0  ...            1.0   \n",
              "3                             0.0  ...            1.0   \n",
              "4                             0.0  ...            0.0   \n",
              "\n",
              "   White Blood cell count (thousand per microliter)  Blood test result  \\\n",
              "0                                          9.857562                1.0   \n",
              "1                                          5.522560                0.0   \n",
              "2                                          3.000000                0.0   \n",
              "3                                          7.919321                2.0   \n",
              "4                                          4.098210                1.0   \n",
              "\n",
              "   Symptom 1  Symptom 2  Symptom 3  Symptom 4  Symptom 5  Genetic Disorder  \\\n",
              "0        1.0        1.0        1.0        1.0        1.0               1.0   \n",
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              "3        0.0        0.0        1.0        0.0        0.0               1.0   \n",
              "4        0.0        0.0        0.0        0.0        0.0               0.0   \n",
              "\n",
              "   Disorder Subclass  \n",
              "0                1.0  \n",
              "1                0.0  \n",
              "2                2.0  \n",
              "3                3.0  \n",
              "4                4.0  \n",
              "\n",
              "[5 rows x 38 columns]"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:54.170590Z",
          "iopub.status.busy": "2022-09-06T16:03:54.169535Z",
          "iopub.status.idle": "2022-09-06T16:03:54.176299Z",
          "shell.execute_reply": "2022-09-06T16:03:54.175525Z",
          "shell.execute_reply.started": "2022-09-06T16:03:54.170546Z"
        },
        "id": "Gmija4SzyQkH",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "df_train[\"sum of Mother's and fathers age avg\"]=(df_train[\"Mother's age\"]+df_train[\"Father's age\"]) / 2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
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        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:54.178008Z",
          "iopub.status.busy": "2022-09-06T16:03:54.177367Z",
          "iopub.status.idle": "2022-09-06T16:03:54.210004Z",
          "shell.execute_reply": "2022-09-06T16:03:54.208806Z",
          "shell.execute_reply.started": "2022-09-06T16:03:54.177968Z"
        },
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        "outputId": "a331d373-4d7f-4d7c-e38f-954f48982424",
        "trusted": true
      },
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            "text/plain": [
              "   Patient Age  Genes in mother's side  Inherited from father  Maternal gene  \\\n",
              "0          2.0                     1.0                    0.0            1.0   \n",
              "1          4.0                     1.0                    1.0            0.0   \n",
              "2          6.0                     1.0                    0.0            0.0   \n",
              "3         12.0                     1.0                    0.0            1.0   \n",
              "4         11.0                     1.0                    0.0            1.0   \n",
              "\n",
              "   Paternal gene  Blood cell count (mcL)  Mother's age  Father's age  Status  \\\n",
              "0            0.0                4.760603          23.0          20.0     1.0   \n",
              "1            0.0                4.910669          23.0          23.0     0.0   \n",
              "2            0.0                4.893297          41.0          22.0     1.0   \n",
              "3            0.0                4.705280          21.0          20.0     0.0   \n",
              "4            1.0                4.720703          32.0          20.0     1.0   \n",
              "\n",
              "   Respiratory Rate (breaths/min)  ...  \\\n",
              "0                             1.0  ...   \n",
              "1                             0.0  ...   \n",
              "2                             1.0  ...   \n",
              "3                             0.0  ...   \n",
              "4                             0.0  ...   \n",
              "\n",
              "   White Blood cell count (thousand per microliter)  Blood test result  \\\n",
              "0                                          9.857562                1.0   \n",
              "1                                          5.522560                0.0   \n",
              "2                                          3.000000                0.0   \n",
              "3                                          7.919321                2.0   \n",
              "4                                          4.098210                1.0   \n",
              "\n",
              "   Symptom 1  Symptom 2  Symptom 3  Symptom 4  Symptom 5  Genetic Disorder  \\\n",
              "0        1.0        1.0        1.0        1.0        1.0               1.0   \n",
              "1        1.0        1.0        1.0        1.0        0.0               1.0   \n",
              "2        0.0        1.0        1.0        1.0        1.0               0.0   \n",
              "3        0.0        0.0        1.0        0.0        0.0               1.0   \n",
              "4        0.0        0.0        0.0        0.0        0.0               0.0   \n",
              "\n",
              "   Disorder Subclass  sum of Mother's and fathers age avg  \n",
              "0                1.0                                 21.5  \n",
              "1                0.0                                 23.0  \n",
              "2                2.0                                 31.5  \n",
              "3                3.0                                 20.5  \n",
              "4                4.0                                 26.0  \n",
              "\n",
              "[5 rows x 39 columns]"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
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          "shell.execute_reply.started": "2022-09-06T16:03:54.211958Z"
        },
        "id": "zlt9tnhpyQkH",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "#total symptom\n",
        "df_train[\"total symptom\"]=(df_train[\"Symptom 1\"]+df_train[\"Symptom 2\"]+df_train[\"Symptom 3\"]+df_train[\"Symptom 4\"]+df_train[\"Symptom 5\"]) / 5"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "noCOmQZMgho_"
      },
      "outputs": [],
      "source": [
        "pd.set_option('display.max_columns', None)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:54.223289Z",
          "iopub.status.busy": "2022-09-06T16:03:54.222433Z",
          "iopub.status.idle": "2022-09-06T16:03:54.255007Z",
          "shell.execute_reply": "2022-09-06T16:03:54.253603Z",
          "shell.execute_reply.started": "2022-09-06T16:03:54.223248Z"
        },
        "id": "Sp7NsQXsyQkI",
        "outputId": "70016bc6-23ff-462e-a314-3ea366beea9f",
        "trusted": true
      },
      "outputs": [
        {
          "data": {
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              "      <th></th>\n",
              "      <th>Patient Age</th>\n",
              "      <th>Genes in mother's side</th>\n",
              "      <th>Inherited from father</th>\n",
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              "      <th>Heart Rate (rates/min</th>\n",
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              "      <th>Test 2</th>\n",
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              "      <th>Folic acid details (peri-conceptional)</th>\n",
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              "      <th>Genetic Disorder</th>\n",
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              "      <th>sum of Mother's and fathers age avg</th>\n",
              "      <th>total symptom</th>\n",
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              "      <td>4.098210</td>\n",
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              "      <td>4.0</td>\n",
              "      <td>26.0</td>\n",
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              "                                                    [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",
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              "\n",
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              "    background-color: var(--bg-color);\n",
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              "    height: 32px;\n",
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              "  }\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",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "      spin 1s steps(1) infinite;\n",
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              "    0% {\n",
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              "    60% {\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "        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-1f956229-28bf-4ea1-86f4-d7cf697f0fee button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "   Patient Age  Genes in mother's side  Inherited from father  Maternal gene  \\\n",
              "0          2.0                     1.0                    0.0            1.0   \n",
              "1          4.0                     1.0                    1.0            0.0   \n",
              "2          6.0                     1.0                    0.0            0.0   \n",
              "3         12.0                     1.0                    0.0            1.0   \n",
              "4         11.0                     1.0                    0.0            1.0   \n",
              "\n",
              "   Paternal gene  Blood cell count (mcL)  Mother's age  Father's age  Status  \\\n",
              "0            0.0                4.760603          23.0          20.0     1.0   \n",
              "1            0.0                4.910669          23.0          23.0     0.0   \n",
              "2            0.0                4.893297          41.0          22.0     1.0   \n",
              "3            0.0                4.705280          21.0          20.0     0.0   \n",
              "4            1.0                4.720703          32.0          20.0     1.0   \n",
              "\n",
              "   Respiratory Rate (breaths/min)  Heart Rate (rates/min  Test 1  Test 2  \\\n",
              "0                             1.0                    1.0     0.0     0.0   \n",
              "1                             0.0                    1.0     0.0     0.0   \n",
              "2                             1.0                    0.0     0.0     0.0   \n",
              "3                             0.0                    1.0     0.0     0.0   \n",
              "4                             0.0                    0.0     0.0     0.0   \n",
              "\n",
              "   Test 3  Test 4  Test 5  Parental consent  Follow-up  Gender  \\\n",
              "0     0.0     1.0     0.0               1.0        1.0     2.0   \n",
              "1     0.0     1.0     0.0               1.0        1.0     2.0   \n",
              "2     0.0     1.0     0.0               1.0        0.0     2.0   \n",
              "3     0.0     1.0     0.0               1.0        1.0     1.0   \n",
              "4     0.0     1.0     0.0               1.0        0.0     1.0   \n",
              "\n",
              "   Birth asphyxia  Autopsy shows birth defect (if applicable)  \\\n",
              "0             1.0                                         3.0   \n",
              "1             0.0                                         2.0   \n",
              "2             0.0                                         3.0   \n",
              "3             0.0                                         0.0   \n",
              "4             0.0                                         3.0   \n",
              "\n",
              "   Folic acid details (peri-conceptional)  H/O serious maternal illness  \\\n",
              "0                                     0.0                           0.0   \n",
              "1                                     1.0                           1.0   \n",
              "2                                     1.0                           0.0   \n",
              "3                                     0.0                           1.0   \n",
              "4                                     0.0                           1.0   \n",
              "\n",
              "   H/O radiation exposure (x-ray)  H/O substance abuse  \\\n",
              "0                             0.0                  0.0   \n",
              "1                             0.0                  0.0   \n",
              "2                             1.0                  0.0   \n",
              "3                             0.0                  0.0   \n",
              "4                             0.0                  0.0   \n",
              "\n",
              "   Assisted conception IVF/ART  History of anomalies in previous pregnancies  \\\n",
              "0                          0.0                                           1.0   \n",
              "1                          0.0                                           1.0   \n",
              "2                          1.0                                           1.0   \n",
              "3                          1.0                                           1.0   \n",
              "4                          1.0                                           0.0   \n",
              "\n",
              "   No. of previous abortion  Birth defects  \\\n",
              "0                       2.0            1.0   \n",
              "1                       2.0            0.0   \n",
              "2                       4.0            1.0   \n",
              "3                       1.0            1.0   \n",
              "4                       4.0            0.0   \n",
              "\n",
              "   White Blood cell count (thousand per microliter)  Blood test result  \\\n",
              "0                                          9.857562                1.0   \n",
              "1                                          5.522560                0.0   \n",
              "2                                          3.000000                0.0   \n",
              "3                                          7.919321                2.0   \n",
              "4                                          4.098210                1.0   \n",
              "\n",
              "   Symptom 1  Symptom 2  Symptom 3  Symptom 4  Symptom 5  Genetic Disorder  \\\n",
              "0        1.0        1.0        1.0        1.0        1.0               1.0   \n",
              "1        1.0        1.0        1.0        1.0        0.0               1.0   \n",
              "2        0.0        1.0        1.0        1.0        1.0               0.0   \n",
              "3        0.0        0.0        1.0        0.0        0.0               1.0   \n",
              "4        0.0        0.0        0.0        0.0        0.0               0.0   \n",
              "\n",
              "   Disorder Subclass  sum of Mother's and fathers age avg  total symptom  \n",
              "0                1.0                                 21.5            1.0  \n",
              "1                0.0                                 23.0            0.8  \n",
              "2                2.0                                 31.5            0.8  \n",
              "3                3.0                                 20.5            0.2  \n",
              "4                4.0                                 26.0            0.0  "
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f4Dk8bSPyQkI"
      },
      "source": [
        "**Splitting data into Training and Splitting**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:59.432472Z",
          "iopub.status.busy": "2022-09-06T16:03:59.432020Z",
          "iopub.status.idle": "2022-09-06T16:03:59.438583Z",
          "shell.execute_reply": "2022-09-06T16:03:59.437304Z",
          "shell.execute_reply.started": "2022-09-06T16:03:59.432443Z"
        },
        "id": "_90vMNggyQkK",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "X,y = df_train.loc[:,df_train.columns != 'Disorder Subclass'], df_train.loc[:,'Disorder Subclass']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:59.440399Z",
          "iopub.status.busy": "2022-09-06T16:03:59.440128Z",
          "iopub.status.idle": "2022-09-06T16:03:59.568384Z",
          "shell.execute_reply": "2022-09-06T16:03:59.567260Z",
          "shell.execute_reply.started": "2022-09-06T16:03:59.440374Z"
        },
        "id": "tica9GUUyQkK",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "# split X and y into training and testing sets\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X_train, X_test, Y_train, Y_test = train_test_split(X, y, test_size = 0.8, random_state = 0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        },
        "id": "9EnSlE13Zf87",
        "outputId": "677df0f2-32d0-49da-ab1a-d0e353cf62ab"
      },
      "outputs": [
        {
          "data": {
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              "\n",
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              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Patient Age</th>\n",
              "      <th>Genes in mother's side</th>\n",
              "      <th>Inherited from father</th>\n",
              "      <th>Maternal gene</th>\n",
              "      <th>Paternal gene</th>\n",
              "      <th>Blood cell count (mcL)</th>\n",
              "      <th>Mother's age</th>\n",
              "      <th>Father's age</th>\n",
              "      <th>Status</th>\n",
              "      <th>Respiratory Rate (breaths/min)</th>\n",
              "      <th>Heart Rate (rates/min</th>\n",
              "      <th>Test 1</th>\n",
              "      <th>Test 2</th>\n",
              "      <th>Test 3</th>\n",
              "      <th>Test 4</th>\n",
              "      <th>Test 5</th>\n",
              "      <th>Parental consent</th>\n",
              "      <th>Follow-up</th>\n",
              "      <th>Gender</th>\n",
              "      <th>Birth asphyxia</th>\n",
              "      <th>Autopsy shows birth defect (if applicable)</th>\n",
              "      <th>Folic acid details (peri-conceptional)</th>\n",
              "      <th>H/O serious maternal illness</th>\n",
              "      <th>H/O radiation exposure (x-ray)</th>\n",
              "      <th>H/O substance abuse</th>\n",
              "      <th>Assisted conception IVF/ART</th>\n",
              "      <th>History of anomalies in previous pregnancies</th>\n",
              "      <th>No. of previous abortion</th>\n",
              "      <th>Birth defects</th>\n",
              "      <th>White Blood cell count (thousand per microliter)</th>\n",
              "      <th>Blood test result</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>Genetic Disorder</th>\n",
              "      <th>sum of Mother's and fathers age avg</th>\n",
              "      <th>total symptom</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1192</th>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.389268</td>\n",
              "      <td>38.0</td>\n",
              "      <td>30.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>34.0</td>\n",
              "      <td>0.8</td>\n",
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              "    <tr>\n",
              "      <th>14613</th>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.238195</td>\n",
              "      <td>33.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.233250</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>36.5</td>\n",
              "      <td>0.6</td>\n",
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              "    <tr>\n",
              "      <th>3690</th>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.026952</td>\n",
              "      <td>27.0</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>26.0</td>\n",
              "      <td>0.6</td>\n",
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              "    <tr>\n",
              "      <th>12877</th>\n",
              "      <td>13.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.791415</td>\n",
              "      <td>23.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>21.5</td>\n",
              "      <td>0.4</td>\n",
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              "    <tr>\n",
              "      <th>13288</th>\n",
              "      <td>8.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.989820</td>\n",
              "      <td>28.0</td>\n",
              "      <td>63.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.376322</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>45.5</td>\n",
              "      <td>0.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13123</th>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.868494</td>\n",
              "      <td>23.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>7.994726</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>21.5</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19648</th>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.856174</td>\n",
              "      <td>29.0</td>\n",
              "      <td>57.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.044257</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>43.0</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9845</th>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.941658</td>\n",
              "      <td>24.0</td>\n",
              "      <td>49.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.480647</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>36.5</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10799</th>\n",
              "      <td>13.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.766132</td>\n",
              "      <td>27.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>6.592654</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>36.0</td>\n",
              "      <td>0.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2732</th>\n",
              "      <td>9.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.913315</td>\n",
              "      <td>44.0</td>\n",
              "      <td>55.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>11.356844</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>49.5</td>\n",
              "      <td>0.6</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>4416 rows × 39 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "    .colab-df-convert:hover {\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
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              "  }\n",
              "\n",
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              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "       Patient Age  Genes in mother's side  Inherited from father  \\\n",
              "1192           5.0                     1.0                    0.0   \n",
              "14613          1.0                     1.0                    0.0   \n",
              "3690           3.0                     1.0                    1.0   \n",
              "12877         13.0                     0.0                    1.0   \n",
              "13288          8.0                     1.0                    0.0   \n",
              "...            ...                     ...                    ...   \n",
              "13123          4.0                     0.0                    0.0   \n",
              "19648         10.0                     0.0                    1.0   \n",
              "9845           6.0                     0.0                    0.0   \n",
              "10799         13.0                     0.0                    1.0   \n",
              "2732           9.0                     1.0                    0.0   \n",
              "\n",
              "       Maternal gene  Paternal gene  Blood cell count (mcL)  Mother's age  \\\n",
              "1192             1.0            1.0                4.389268          38.0   \n",
              "14613            1.0            1.0                5.238195          33.0   \n",
              "3690             1.0            1.0                5.026952          27.0   \n",
              "12877            0.0            0.0                4.791415          23.0   \n",
              "13288            0.0            0.0                4.989820          28.0   \n",
              "...              ...            ...                     ...           ...   \n",
              "13123            0.0            0.0                4.868494          23.0   \n",
              "19648            1.0            0.0                4.856174          29.0   \n",
              "9845             0.0            1.0                4.941658          24.0   \n",
              "10799            1.0            1.0                4.766132          27.0   \n",
              "2732             1.0            1.0                4.913315          44.0   \n",
              "\n",
              "       Father's age  Status  Respiratory Rate (breaths/min)  \\\n",
              "1192           30.0     0.0                             1.0   \n",
              "14613          40.0     0.0                             0.0   \n",
              "3690           25.0     0.0                             1.0   \n",
              "12877          20.0     1.0                             1.0   \n",
              "13288          63.0     0.0                             1.0   \n",
              "...             ...     ...                             ...   \n",
              "13123          20.0     0.0                             1.0   \n",
              "19648          57.0     1.0                             1.0   \n",
              "9845           49.0     1.0                             0.0   \n",
              "10799          45.0     1.0                             1.0   \n",
              "2732           55.0     1.0                             0.0   \n",
              "\n",
              "       Heart Rate (rates/min  Test 1  Test 2  Test 3  Test 4  Test 5  \\\n",
              "1192                     1.0     0.0     0.0     0.0     1.0     0.0   \n",
              "14613                    0.0     0.0     0.0     0.0     1.0     0.0   \n",
              "3690                     1.0     0.0     0.0     0.0     1.0     0.0   \n",
              "12877                    1.0     0.0     0.0     0.0     1.0     0.0   \n",
              "13288                    0.0     0.0     0.0     0.0     1.0     0.0   \n",
              "...                      ...     ...     ...     ...     ...     ...   \n",
              "13123                    0.0     0.0     0.0     0.0     1.0     0.0   \n",
              "19648                    0.0     0.0     0.0     0.0     1.0     0.0   \n",
              "9845                     1.0     0.0     0.0     0.0     1.0     0.0   \n",
              "10799                    0.0     0.0     0.0     0.0     1.0     0.0   \n",
              "2732                     0.0     0.0     0.0     0.0     1.0     0.0   \n",
              "\n",
              "       Parental consent  Follow-up  Gender  Birth asphyxia  \\\n",
              "1192                1.0        1.0     2.0             0.0   \n",
              "14613               1.0        0.0     2.0             1.0   \n",
              "3690                1.0        1.0     0.0             1.0   \n",
              "12877               1.0        1.0     2.0             1.0   \n",
              "13288               1.0        1.0     0.0             1.0   \n",
              "...                 ...        ...     ...             ...   \n",
              "13123               1.0        1.0     2.0             1.0   \n",
              "19648               1.0        1.0     2.0             0.0   \n",
              "9845                1.0        0.0     2.0             0.0   \n",
              "10799               1.0        0.0     2.0             0.0   \n",
              "2732                1.0        0.0     0.0             0.0   \n",
              "\n",
              "       Autopsy shows birth defect (if applicable)  \\\n",
              "1192                                          1.0   \n",
              "14613                                         0.0   \n",
              "3690                                          2.0   \n",
              "12877                                         3.0   \n",
              "13288                                         3.0   \n",
              "...                                           ...   \n",
              "13123                                         0.0   \n",
              "19648                                         3.0   \n",
              "9845                                          3.0   \n",
              "10799                                         3.0   \n",
              "2732                                          3.0   \n",
              "\n",
              "       Folic acid details (peri-conceptional)  H/O serious maternal illness  \\\n",
              "1192                                      1.0                           1.0   \n",
              "14613                                     0.0                           0.0   \n",
              "3690                                      1.0                           0.0   \n",
              "12877                                     1.0                           0.0   \n",
              "13288                                     0.0                           1.0   \n",
              "...                                       ...                           ...   \n",
              "13123                                     1.0                           1.0   \n",
              "19648                                     1.0                           1.0   \n",
              "9845                                      0.0                           0.0   \n",
              "10799                                     1.0                           0.0   \n",
              "2732                                      0.0                           0.0   \n",
              "\n",
              "       H/O radiation exposure (x-ray)  H/O substance abuse  \\\n",
              "1192                              0.0                  0.0   \n",
              "14613                             0.0                  0.0   \n",
              "3690                              0.0                  0.0   \n",
              "12877                             0.0                  1.0   \n",
              "13288                             0.0                  0.0   \n",
              "...                               ...                  ...   \n",
              "13123                             0.0                  0.0   \n",
              "19648                             0.0                  0.0   \n",
              "9845                              0.0                  0.0   \n",
              "10799                             0.0                  0.0   \n",
              "2732                              0.0                  1.0   \n",
              "\n",
              "       Assisted conception IVF/ART  \\\n",
              "1192                           0.0   \n",
              "14613                          0.0   \n",
              "3690                           0.0   \n",
              "12877                          0.0   \n",
              "13288                          1.0   \n",
              "...                            ...   \n",
              "13123                          0.0   \n",
              "19648                          1.0   \n",
              "9845                           1.0   \n",
              "10799                          0.0   \n",
              "2732                           0.0   \n",
              "\n",
              "       History of anomalies in previous pregnancies  No. of previous abortion  \\\n",
              "1192                                            0.0                       2.0   \n",
              "14613                                           1.0                       3.0   \n",
              "3690                                            1.0                       2.0   \n",
              "12877                                           0.0                       2.0   \n",
              "13288                                           0.0                       2.0   \n",
              "...                                             ...                       ...   \n",
              "13123                                           1.0                       0.0   \n",
              "19648                                           0.0                       3.0   \n",
              "9845                                            0.0                       0.0   \n",
              "10799                                           1.0                       0.0   \n",
              "2732                                            0.0                       2.0   \n",
              "\n",
              "       Birth defects  White Blood cell count (thousand per microliter)  \\\n",
              "1192             0.0                                          3.000000   \n",
              "14613            0.0                                          6.233250   \n",
              "3690             0.0                                          3.000000   \n",
              "12877            0.0                                          3.000000   \n",
              "13288            0.0                                          7.376322   \n",
              "...              ...                                               ...   \n",
              "13123            1.0                                          7.994726   \n",
              "19648            0.0                                          3.044257   \n",
              "9845             1.0                                          4.480647   \n",
              "10799            1.0                                          6.592654   \n",
              "2732             1.0                                         11.356844   \n",
              "\n",
              "       Blood test result  Symptom 1  Symptom 2  Symptom 3  Symptom 4  \\\n",
              "1192                 1.0        1.0        0.0        1.0        1.0   \n",
              "14613                1.0        0.0        1.0        1.0        1.0   \n",
              "3690                 1.0        0.0        1.0        0.0        1.0   \n",
              "12877                3.0        1.0        0.0        0.0        0.0   \n",
              "13288                0.0        1.0        1.0        1.0        1.0   \n",
              "...                  ...        ...        ...        ...        ...   \n",
              "13123                1.0        1.0        1.0        1.0        1.0   \n",
              "19648                2.0        0.0        0.0        1.0        0.0   \n",
              "9845                 2.0        0.0        0.0        0.0        1.0   \n",
              "10799                3.0        1.0        1.0        0.0        1.0   \n",
              "2732                 1.0        1.0        0.0        1.0        0.0   \n",
              "\n",
              "       Symptom 5  Genetic Disorder  sum of Mother's and fathers age avg  \\\n",
              "1192         1.0               0.0                                 34.0   \n",
              "14613        0.0               2.0                                 36.5   \n",
              "3690         1.0               0.0                                 26.0   \n",
              "12877        1.0               2.0                                 21.5   \n",
              "13288        0.0               1.0                                 45.5   \n",
              "...          ...               ...                                  ...   \n",
              "13123        1.0               2.0                                 21.5   \n",
              "19648        0.0               1.0                                 43.0   \n",
              "9845         0.0               2.0                                 36.5   \n",
              "10799        0.0               2.0                                 36.0   \n",
              "2732         1.0               1.0                                 49.5   \n",
              "\n",
              "       total symptom  \n",
              "1192             0.8  \n",
              "14613            0.6  \n",
              "3690             0.6  \n",
              "12877            0.4  \n",
              "13288            0.8  \n",
              "...              ...  \n",
              "13123            1.0  \n",
              "19648            0.2  \n",
              "9845             0.2  \n",
              "10799            0.6  \n",
              "2732             0.6  \n",
              "\n",
              "[4416 rows x 39 columns]"
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6qsoXIrm3Hxd",
        "outputId": "dc7757b5-6344-4a19-c5fd-04bf4477c3e8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting lazypredict\n",
            "  Downloading lazypredict-0.2.12-py2.py3-none-any.whl (12 kB)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from lazypredict) (8.1.7)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from lazypredict) (1.2.2)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from lazypredict) (1.5.3)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from lazypredict) (4.66.1)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from lazypredict) (1.3.2)\n",
            "Requirement already satisfied: lightgbm in /usr/local/lib/python3.10/dist-packages (from lazypredict) (4.0.0)\n",
            "Requirement already satisfied: xgboost in /usr/local/lib/python3.10/dist-packages (from lazypredict) (1.7.6)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from lightgbm->lazypredict) (1.23.5)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from lightgbm->lazypredict) (1.11.2)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->lazypredict) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->lazypredict) (2023.3.post1)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->lazypredict) (3.2.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->lazypredict) (1.16.0)\n",
            "Installing collected packages: lazypredict\n",
            "Successfully installed lazypredict-0.2.12\n"
          ]
        }
      ],
      "source": [
        "pip install lazypredict"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "sMN4KFxufpYd",
        "outputId": "fc0b98eb-4cbc-4325-eadf-489b95c0c549"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            " 97%|█████████▋| 28/29 [00:56<00:03,  3.69s/it]"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[LightGBM] [Warning] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000906 seconds.\n",
            "You can set `force_row_wise=true` to remove the overhead.\n",
            "And if memory is not enough, you can set `force_col_wise=true`.\n",
            "[LightGBM] [Info] Total Bins 778\n",
            "[LightGBM] [Info] Number of data points in the train set: 4416, number of used features: 33\n",
            "[LightGBM] [Info] Start training from score -1.860655\n",
            "[LightGBM] [Info] Start training from score -3.665602\n",
            "[LightGBM] [Info] Start training from score -2.431984\n",
            "[LightGBM] [Info] Start training from score -1.061275\n",
            "[LightGBM] [Info] Start training from score -5.559776\n",
            "[LightGBM] [Info] Start training from score -2.070424\n",
            "[LightGBM] [Info] Start training from score -2.859600\n",
            "[LightGBM] [Info] Start training from score -1.653653\n",
            "[LightGBM] [Info] Start training from score -5.060785\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
            "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "100%|██████████| 29/29 [00:59<00:00,  2.06s/it]\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-a33b8c61-f97a-4fef-ab3b-12d140970ff7\" 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>Accuracy</th>\n",
              "      <th>Balanced Accuracy</th>\n",
              "      <th>ROC AUC</th>\n",
              "      <th>F1 Score</th>\n",
              "      <th>Time Taken</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Model</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>GaussianNB</th>\n",
              "      <td>0.53</td>\n",
              "      <td>0.64</td>\n",
              "      <td>None</td>\n",
              "      <td>0.43</td>\n",
              "      <td>0.19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NearestCentroid</th>\n",
              "      <td>0.56</td>\n",
              "      <td>0.63</td>\n",
              "      <td>None</td>\n",
              "      <td>0.57</td>\n",
              "      <td>0.11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LinearDiscriminantAnalysis</th>\n",
              "      <td>0.65</td>\n",
              "      <td>0.59</td>\n",
              "      <td>None</td>\n",
              "      <td>0.63</td>\n",
              "      <td>0.18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LGBMClassifier</th>\n",
              "      <td>0.62</td>\n",
              "      <td>0.56</td>\n",
              "      <td>None</td>\n",
              "      <td>0.60</td>\n",
              "      <td>2.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>XGBClassifier</th>\n",
              "      <td>0.61</td>\n",
              "      <td>0.56</td>\n",
              "      <td>None</td>\n",
              "      <td>0.60</td>\n",
              "      <td>9.17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BaggingClassifier</th>\n",
              "      <td>0.59</td>\n",
              "      <td>0.55</td>\n",
              "      <td>None</td>\n",
              "      <td>0.58</td>\n",
              "      <td>0.44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ExtraTreesClassifier</th>\n",
              "      <td>0.62</td>\n",
              "      <td>0.55</td>\n",
              "      <td>None</td>\n",
              "      <td>0.60</td>\n",
              "      <td>3.12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LogisticRegression</th>\n",
              "      <td>0.64</td>\n",
              "      <td>0.54</td>\n",
              "      <td>None</td>\n",
              "      <td>0.62</td>\n",
              "      <td>0.40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DecisionTreeClassifier</th>\n",
              "      <td>0.52</td>\n",
              "      <td>0.51</td>\n",
              "      <td>None</td>\n",
              "      <td>0.52</td>\n",
              "      <td>0.20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RandomForestClassifier</th>\n",
              "      <td>0.61</td>\n",
              "      <td>0.48</td>\n",
              "      <td>None</td>\n",
              "      <td>0.58</td>\n",
              "      <td>1.69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SVC</th>\n",
              "      <td>0.63</td>\n",
              "      <td>0.45</td>\n",
              "      <td>None</td>\n",
              "      <td>0.59</td>\n",
              "      <td>8.75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LinearSVC</th>\n",
              "      <td>0.61</td>\n",
              "      <td>0.44</td>\n",
              "      <td>None</td>\n",
              "      <td>0.55</td>\n",
              "      <td>2.41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SGDClassifier</th>\n",
              "      <td>0.52</td>\n",
              "      <td>0.41</td>\n",
              "      <td>None</td>\n",
              "      <td>0.51</td>\n",
              "      <td>0.54</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CalibratedClassifierCV</th>\n",
              "      <td>0.61</td>\n",
              "      <td>0.39</td>\n",
              "      <td>None</td>\n",
              "      <td>0.55</td>\n",
              "      <td>17.27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BernoulliNB</th>\n",
              "      <td>0.58</td>\n",
              "      <td>0.38</td>\n",
              "      <td>None</td>\n",
              "      <td>0.55</td>\n",
              "      <td>0.12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ExtraTreeClassifier</th>\n",
              "      <td>0.42</td>\n",
              "      <td>0.36</td>\n",
              "      <td>None</td>\n",
              "      <td>0.41</td>\n",
              "      <td>0.16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Perceptron</th>\n",
              "      <td>0.46</td>\n",
              "      <td>0.34</td>\n",
              "      <td>None</td>\n",
              "      <td>0.45</td>\n",
              "      <td>0.14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PassiveAggressiveClassifier</th>\n",
              "      <td>0.45</td>\n",
              "      <td>0.32</td>\n",
              "      <td>None</td>\n",
              "      <td>0.44</td>\n",
              "      <td>0.15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RidgeClassifier</th>\n",
              "      <td>0.53</td>\n",
              "      <td>0.30</td>\n",
              "      <td>None</td>\n",
              "      <td>0.46</td>\n",
              "      <td>0.20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RidgeClassifierCV</th>\n",
              "      <td>0.53</td>\n",
              "      <td>0.30</td>\n",
              "      <td>None</td>\n",
              "      <td>0.46</td>\n",
              "      <td>0.25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AdaBoostClassifier</th>\n",
              "      <td>0.50</td>\n",
              "      <td>0.30</td>\n",
              "      <td>None</td>\n",
              "      <td>0.37</td>\n",
              "      <td>1.17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>KNeighborsClassifier</th>\n",
              "      <td>0.44</td>\n",
              "      <td>0.30</td>\n",
              "      <td>None</td>\n",
              "      <td>0.42</td>\n",
              "      <td>4.81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>QuadraticDiscriminantAnalysis</th>\n",
              "      <td>0.28</td>\n",
              "      <td>0.18</td>\n",
              "      <td>None</td>\n",
              "      <td>0.28</td>\n",
              "      <td>0.16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LabelSpreading</th>\n",
              "      <td>0.16</td>\n",
              "      <td>0.11</td>\n",
              "      <td>None</td>\n",
              "      <td>0.04</td>\n",
              "      <td>2.46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LabelPropagation</th>\n",
              "      <td>0.16</td>\n",
              "      <td>0.11</td>\n",
              "      <td>None</td>\n",
              "      <td>0.04</td>\n",
              "      <td>2.41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DummyClassifier</th>\n",
              "      <td>0.33</td>\n",
              "      <td>0.11</td>\n",
              "      <td>None</td>\n",
              "      <td>0.16</td>\n",
              "      <td>0.09</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-a33b8c61-f97a-4fef-ab3b-12d140970ff7')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-a33b8c61-f97a-4fef-ab3b-12d140970ff7 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-a33b8c61-f97a-4fef-ab3b-12d140970ff7');\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-8346bd43-0ee4-44f4-99b4-923fa88b0599\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8346bd43-0ee4-44f4-99b4-923fa88b0599')\"\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",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\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-8346bd43-0ee4-44f4-99b4-923fa88b0599 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                               Accuracy  Balanced Accuracy ROC AUC  F1 Score  \\\n",
              "Model                                                                          \n",
              "GaussianNB                         0.53               0.64    None      0.43   \n",
              "NearestCentroid                    0.56               0.63    None      0.57   \n",
              "LinearDiscriminantAnalysis         0.65               0.59    None      0.63   \n",
              "LGBMClassifier                     0.62               0.56    None      0.60   \n",
              "XGBClassifier                      0.61               0.56    None      0.60   \n",
              "BaggingClassifier                  0.59               0.55    None      0.58   \n",
              "ExtraTreesClassifier               0.62               0.55    None      0.60   \n",
              "LogisticRegression                 0.64               0.54    None      0.62   \n",
              "DecisionTreeClassifier             0.52               0.51    None      0.52   \n",
              "RandomForestClassifier             0.61               0.48    None      0.58   \n",
              "SVC                                0.63               0.45    None      0.59   \n",
              "LinearSVC                          0.61               0.44    None      0.55   \n",
              "SGDClassifier                      0.52               0.41    None      0.51   \n",
              "CalibratedClassifierCV             0.61               0.39    None      0.55   \n",
              "BernoulliNB                        0.58               0.38    None      0.55   \n",
              "ExtraTreeClassifier                0.42               0.36    None      0.41   \n",
              "Perceptron                         0.46               0.34    None      0.45   \n",
              "PassiveAggressiveClassifier        0.45               0.32    None      0.44   \n",
              "RidgeClassifier                    0.53               0.30    None      0.46   \n",
              "RidgeClassifierCV                  0.53               0.30    None      0.46   \n",
              "AdaBoostClassifier                 0.50               0.30    None      0.37   \n",
              "KNeighborsClassifier               0.44               0.30    None      0.42   \n",
              "QuadraticDiscriminantAnalysis      0.28               0.18    None      0.28   \n",
              "LabelSpreading                     0.16               0.11    None      0.04   \n",
              "LabelPropagation                   0.16               0.11    None      0.04   \n",
              "DummyClassifier                    0.33               0.11    None      0.16   \n",
              "\n",
              "                               Time Taken  \n",
              "Model                                      \n",
              "GaussianNB                           0.19  \n",
              "NearestCentroid                      0.11  \n",
              "LinearDiscriminantAnalysis           0.18  \n",
              "LGBMClassifier                       2.85  \n",
              "XGBClassifier                        9.17  \n",
              "BaggingClassifier                    0.44  \n",
              "ExtraTreesClassifier                 3.12  \n",
              "LogisticRegression                   0.40  \n",
              "DecisionTreeClassifier               0.20  \n",
              "RandomForestClassifier               1.69  \n",
              "SVC                                  8.75  \n",
              "LinearSVC                            2.41  \n",
              "SGDClassifier                        0.54  \n",
              "CalibratedClassifierCV              17.27  \n",
              "BernoulliNB                          0.12  \n",
              "ExtraTreeClassifier                  0.16  \n",
              "Perceptron                           0.14  \n",
              "PassiveAggressiveClassifier          0.15  \n",
              "RidgeClassifier                      0.20  \n",
              "RidgeClassifierCV                    0.25  \n",
              "AdaBoostClassifier                   1.17  \n",
              "KNeighborsClassifier                 4.81  \n",
              "QuadraticDiscriminantAnalysis        0.16  \n",
              "LabelSpreading                       2.46  \n",
              "LabelPropagation                     2.41  \n",
              "DummyClassifier                      0.09  "
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import lazypredict\n",
        "from lazypredict.Supervised import LazyClassifier\n",
        "from sklearn.datasets import load_breast_cancer\n",
        "from sklearn.model_selection import train_test_split\n",
        "clf = LazyClassifier(verbose=0,ignore_warnings=True, custom_metric=None)\n",
        "models,predictions = clf.fit(X_train, X_test, Y_train, Y_test)\n",
        "models"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-06T16:03:59.570559Z",
          "iopub.status.busy": "2022-09-06T16:03:59.570114Z",
          "iopub.status.idle": "2022-09-06T16:03:59.577187Z",
          "shell.execute_reply": "2022-09-06T16:03:59.576227Z",
          "shell.execute_reply.started": "2022-09-06T16:03:59.570501Z"
        },
        "id": "EO0bLEnHyQkK",
        "trusted": true
      },
      "outputs": [],
      "source": [
        "# check the shape of X_train and\n",
        "X_train.shape, X_test.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2X2BDQZBqOq7"
      },
      "outputs": [],
      "source": [
        "pip install flwr"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4jf4_TtgrX_8"
      },
      "outputs": [],
      "source": [
        "import flwr as fl\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import log_loss"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "sfrZN6K9uoPX"
      },
      "outputs": [],
      "source": [
        "from typing import Tuple, Union, List\n",
        "import numpy as np\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "# import openml\n",
        "\n",
        "XY = Tuple[np.ndarray, np.ndarray]\n",
        "Dataset = Tuple[XY, XY]\n",
        "LogRegParams = Union[XY, Tuple[np.ndarray]]\n",
        "XYList = List[XY]\n",
        "\n",
        "\n",
        "def get_model_parameters(model: LogisticRegression) -> LogRegParams:\n",
        "    \"\"\"Returns the paramters of a sklearn LogisticRegression model.\"\"\"\n",
        "    if model.fit_intercept:\n",
        "        params = [\n",
        "            model.coef_,\n",
        "            model.intercept_,\n",
        "        ]\n",
        "    else:\n",
        "        params = [\n",
        "            model.coef_,\n",
        "        ]\n",
        "    return params\n",
        "\n",
        "\n",
        "def set_model_params(\n",
        "    model: LogisticRegression, params: LogRegParams\n",
        ") -> LogisticRegression:\n",
        "    \"\"\"Sets the parameters of a sklean LogisticRegression model.\"\"\"\n",
        "    model.coef_ = params[0]\n",
        "    if model.fit_intercept:\n",
        "        model.intercept_ = params[1]\n",
        "    return model\n",
        "\n",
        "\n",
        "def set_initial_params(model: LogisticRegression):\n",
        "    \"\"\"Sets initial parameters as zeros Required since model params are uninitialized\n",
        "    until model.fit is called.\n",
        "\n",
        "    But server asks for initial parameters from clients at launch. Refer to\n",
        "    sklearn.linear_model.LogisticRegression documentation for more information.\n",
        "    \"\"\"\n",
        "    n_classes = 10  # MNIST has 10 classes\n",
        "    n_features = 784  # Number of features in dataset\n",
        "    model.classes_ = np.array([i for i in range(10)])\n",
        "\n",
        "    model.coef_ = np.zeros((n_classes, n_features))\n",
        "    if model.fit_intercept:\n",
        "        model.intercept_ = np.zeros((n_classes,))\n",
        "\n",
        "\n",
        "# def load_mnist() -> Dataset:\n",
        "#     \"\"\"Loads the MNIST dataset using OpenML.\n",
        "\n",
        "#     OpenML dataset link: https://www.openml.org/d/554\n",
        "#     \"\"\"\n",
        "#     mnist_openml = openml.datasets.get_dataset(554)\n",
        "#     Xy, _, _, _ = mnist_openml.get_data(dataset_format=\"array\")\n",
        "#     X = Xy[:, :-1]  # the last column contains labels\n",
        "#     y = Xy[:, -1]\n",
        "#     # First 60000 samples consist of the train set\n",
        "#     x_train, y_train = X[:60000], y[:60000]\n",
        "#     x_test, y_test = X[60000:], y[60000:]\n",
        "#     return (x_train, y_train), (x_test, y_test)\n",
        "\n",
        "\n",
        "def shuffle(X: np.ndarray, y: np.ndarray) -> XY:\n",
        "    \"\"\"Shuffle X and y.\"\"\"\n",
        "    rng = np.random.default_rng()\n",
        "    idx = rng.permutation(len(X))\n",
        "    return X[idx], y[idx]\n",
        "\n",
        "\n",
        "def partition(X: np.ndarray, y: np.ndarray, num_partitions: int) -> XYList:\n",
        "    \"\"\"Split X and y into a number of partitions.\"\"\"\n",
        "    return list(\n",
        "        zip(np.array_split(X, num_partitions), np.array_split(y, num_partitions))\n",
        "    )\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1se7qHxTnGn7"
      },
      "outputs": [],
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n",
        "def logreg(x_train, y_train, x_test, y_test):\n",
        "\n",
        "  logr = LogisticRegression()\n",
        "  logr.fit(x_train,y_train)\n",
        "  predicted = logr.predict(x_test)\n",
        "  accuracy = accuracy_score(y_test, predicted)\n",
        "  return accuracy\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KGbDrMNuzdoO"
      },
      "outputs": [],
      "source": [
        "X_train, X_test, Y_train, Y_test = train_test_split(X, y, test_size = 0.8, random_state = 0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2w4s39kRx8nm",
        "outputId": "89094183-c15d-4d31-9cbc-b012df192194"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[0.5434991792607686, 0.5509141336955906, 0.5345559517744948, 0.5322918435501217, 0.5581026773079754]\n"
          ]
        }
      ],
      "source": [
        "accuracies = []\n",
        "x = partition(X_train, Y_train, 5)\n",
        "for i in range(len(x)):\n",
        "  (X_train, y_train) = x[i]\n",
        "  accuracies.append(logreg(X_train, y_train, X_test, Y_test))\n",
        "\n",
        "\n",
        "print(accuracies)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IgXH7G-Eaca-",
        "outputId": "dcc0ce38-492d-48fe-f330-749eb092fe51"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(       Patient Age  Genes in mother's side  Inherited from father  \\\n",
              " 1192          5.00                    1.00                   0.00   \n",
              " 14613         1.00                    1.00                   0.00   \n",
              " 3690          3.00                    1.00                   1.00   \n",
              " 12877        13.00                    0.00                   1.00   \n",
              " 13288         8.00                    1.00                   0.00   \n",
              " ...            ...                     ...                    ...   \n",
              " 15545         6.00                    1.00                   0.00   \n",
              " 3084          4.00                    1.00                   0.00   \n",
              " 10026        12.00                    1.00                   0.00   \n",
              " 11198         4.00                    1.00                   1.00   \n",
              " 5887          8.00                    1.00                   0.00   \n",
              " \n",
              "        Maternal gene  Paternal gene  Blood cell count (mcL)  Mother's age  \\\n",
              " 1192            1.00           1.00                    4.39         38.00   \n",
              " 14613           1.00           1.00                    5.24         33.00   \n",
              " 3690            1.00           1.00                    5.03         27.00   \n",
              " 12877           0.00           0.00                    4.79         23.00   \n",
              " 13288           0.00           0.00                    4.99         28.00   \n",
              " ...              ...            ...                     ...           ...   \n",
              " 15545           1.00           0.00                    4.54         20.00   \n",
              " 3084            1.00           0.00                    5.05         23.00   \n",
              " 10026           1.00           0.00                    5.04         47.00   \n",
              " 11198           1.00           1.00                    4.76         32.00   \n",
              " 5887            1.00           0.00                    4.72         22.00   \n",
              " \n",
              "        Father's age  Status  Respiratory Rate (breaths/min)  \\\n",
              " 1192          30.00    0.00                            1.00   \n",
              " 14613         40.00    0.00                            0.00   \n",
              " 3690          25.00    0.00                            1.00   \n",
              " 12877         20.00    1.00                            1.00   \n",
              " 13288         63.00    0.00                            1.00   \n",
              " ...             ...     ...                             ...   \n",
              " 15545         57.00    0.00                            0.00   \n",
              " 3084          20.00    0.00                            0.00   \n",
              " 10026         44.00    1.00                            1.00   \n",
              " 11198         20.00    1.00                            0.00   \n",
              " 5887          20.00    1.00                            0.00   \n",
              " \n",
              "        Heart Rate (rates/min  Test 1  Test 2  Test 3  Test 4  Test 5  \\\n",
              " 1192                    1.00    0.00    0.00    0.00    1.00    0.00   \n",
              " 14613                   0.00    0.00    0.00    0.00    1.00    0.00   \n",
              " 3690                    1.00    0.00    0.00    0.00    1.00    0.00   \n",
              " 12877                   1.00    0.00    0.00    0.00    1.00    0.00   \n",
              " 13288                   0.00    0.00    0.00    0.00    1.00    0.00   \n",
              " ...                      ...     ...     ...     ...     ...     ...   \n",
              " 15545                   0.00    0.00    0.00    0.00    1.00    0.00   \n",
              " 3084                    1.00    0.00    0.00    0.00    1.00    0.00   \n",
              " 10026                   0.00    0.00    0.00    0.00    1.00    0.00   \n",
              " 11198                   1.00    0.00    0.00    0.00    1.00    0.00   \n",
              " 5887                    0.00    0.00    0.00    0.00    1.00    0.00   \n",
              " \n",
              "        Parental consent  Follow-up  Gender  Birth asphyxia  \\\n",
              " 1192               1.00       1.00    2.00            0.00   \n",
              " 14613              1.00       0.00    2.00            1.00   \n",
              " 3690               1.00       1.00    0.00            1.00   \n",
              " 12877              1.00       1.00    2.00            1.00   \n",
              " 13288              1.00       1.00    0.00            1.00   \n",
              " ...                 ...        ...     ...             ...   \n",
              " 15545              1.00       1.00    0.00            0.00   \n",
              " 3084               1.00       0.00    0.00            0.00   \n",
              " 10026              1.00       0.00    1.00            0.00   \n",
              " 11198              1.00       0.00    2.00            0.00   \n",
              " 5887               1.00       1.00    1.00            0.00   \n",
              " \n",
              "        Autopsy shows birth defect (if applicable)  \\\n",
              " 1192                                         1.00   \n",
              " 14613                                        0.00   \n",
              " 3690                                         2.00   \n",
              " 12877                                        3.00   \n",
              " 13288                                        3.00   \n",
              " ...                                           ...   \n",
              " 15545                                        2.00   \n",
              " 3084                                         0.00   \n",
              " 10026                                        3.00   \n",
              " 11198                                        3.00   \n",
              " 5887                                         3.00   \n",
              " \n",
              "        Folic acid details (peri-conceptional)  H/O serious maternal illness  \\\n",
              " 1192                                     1.00                          1.00   \n",
              " 14613                                    0.00                          0.00   \n",
              " 3690                                     1.00                          0.00   \n",
              " 12877                                    1.00                          0.00   \n",
              " 13288                                    0.00                          1.00   \n",
              " ...                                       ...                           ...   \n",
              " 15545                                    0.00                          1.00   \n",
              " 3084                                     1.00                          1.00   \n",
              " 10026                                    0.00                          1.00   \n",
              " 11198                                    1.00                          1.00   \n",
              " 5887                                     1.00                          0.00   \n",
              " \n",
              "        H/O radiation exposure (x-ray)  H/O substance abuse  \\\n",
              " 1192                             0.00                 0.00   \n",
              " 14613                            0.00                 0.00   \n",
              " 3690                             0.00                 0.00   \n",
              " 12877                            0.00                 1.00   \n",
              " 13288                            0.00                 0.00   \n",
              " ...                               ...                  ...   \n",
              " 15545                            0.00                 0.00   \n",
              " 3084                             1.00                 0.00   \n",
              " 10026                            1.00                 0.00   \n",
              " 11198                            0.00                 0.00   \n",
              " 5887                             0.00                 1.00   \n",
              " \n",
              "        Assisted conception IVF/ART  \\\n",
              " 1192                          0.00   \n",
              " 14613                         0.00   \n",
              " 3690                          0.00   \n",
              " 12877                         0.00   \n",
              " 13288                         1.00   \n",
              " ...                            ...   \n",
              " 15545                         0.00   \n",
              " 3084                          1.00   \n",
              " 10026                         1.00   \n",
              " 11198                         0.00   \n",
              " 5887                          0.00   \n",
              " \n",
              "        History of anomalies in previous pregnancies  No. of previous abortion  \\\n",
              " 1192                                           0.00                      2.00   \n",
              " 14613                                          1.00                      3.00   \n",
              " 3690                                           1.00                      2.00   \n",
              " 12877                                          0.00                      2.00   \n",
              " 13288                                          0.00                      2.00   \n",
              " ...                                             ...                       ...   \n",
              " 15545                                          1.00                      4.00   \n",
              " 3084                                           1.00                      0.00   \n",
              " 10026                                          0.00                      4.00   \n",
              " 11198                                          1.00                      4.00   \n",
              " 5887                                           1.00                      4.00   \n",
              " \n",
              "        Birth defects  White Blood cell count (thousand per microliter)  \\\n",
              " 1192            0.00                                              3.00   \n",
              " 14613           0.00                                              6.23   \n",
              " 3690            0.00                                              3.00   \n",
              " 12877           0.00                                              3.00   \n",
              " 13288           0.00                                              7.38   \n",
              " ...              ...                                               ...   \n",
              " 15545           0.00                                              3.78   \n",
              " 3084            0.00                                              7.80   \n",
              " 10026           1.00                                              6.89   \n",
              " 11198           0.00                                              8.19   \n",
              " 5887            1.00                                              3.00   \n",
              " \n",
              "        Blood test result  Symptom 1  Symptom 2  Symptom 3  Symptom 4  \\\n",
              " 1192                1.00       1.00       0.00       1.00       1.00   \n",
              " 14613               1.00       0.00       1.00       1.00       1.00   \n",
              " 3690                1.00       0.00       1.00       0.00       1.00   \n",
              " 12877               3.00       1.00       0.00       0.00       0.00   \n",
              " 13288               0.00       1.00       1.00       1.00       1.00   \n",
              " ...                  ...        ...        ...        ...        ...   \n",
              " 15545               2.00       1.00       0.00       1.00       1.00   \n",
              " 3084                1.00       0.00       1.00       0.00       0.00   \n",
              " 10026               3.00       1.00       1.00       1.00       1.00   \n",
              " 11198               0.00       0.00       1.00       1.00       1.00   \n",
              " 5887                1.00       1.00       1.00       0.00       1.00   \n",
              " \n",
              "        Symptom 5  Genetic Disorder  sum of Mother's and fathers age avg  \\\n",
              " 1192        1.00              0.00                                34.00   \n",
              " 14613       0.00              2.00                                36.50   \n",
              " 3690        1.00              0.00                                26.00   \n",
              " 12877       1.00              2.00                                21.50   \n",
              " 13288       0.00              1.00                                45.50   \n",
              " ...          ...               ...                                  ...   \n",
              " 15545       0.00              1.00                                38.50   \n",
              " 3084        1.00              1.00                                21.50   \n",
              " 10026       0.00              2.00                                45.50   \n",
              " 11198       1.00              0.00                                26.00   \n",
              " 5887        0.00              1.00                                21.00   \n",
              " \n",
              "        total symptom  \n",
              " 1192            0.80  \n",
              " 14613           0.60  \n",
              " 3690            0.60  \n",
              " 12877           0.40  \n",
              " 13288           0.80  \n",
              " ...              ...  \n",
              " 15545           0.60  \n",
              " 3084            0.40  \n",
              " 10026           0.80  \n",
              " 11198           0.80  \n",
              " 5887            0.60  \n",
              " \n",
              " [884 rows x 39 columns],\n",
              " 1192    2.00\n",
              " 14613   0.00\n",
              " 3690    2.00\n",
              " 12877   6.00\n",
              " 13288   3.00\n",
              "         ... \n",
              " 15545   3.00\n",
              " 3084    3.00\n",
              " 10026   0.00\n",
              " 11198   2.00\n",
              " 5887    3.00\n",
              " Name: Disorder Subclass, Length: 884, dtype: float32)"
            ]
          },
          "execution_count": 44,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uatXhNDCai8Y"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
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        "id": "BHID1DtSyXM5",
        "outputId": "08007714-2a9c-4b15-f3e3-7c1d18a6db5f"
      },
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        {
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            "text/plain": [
              "                                                   0  \\\n",
              "0         Patient Age  Genes in mother's side  In...   \n",
              "1         Patient Age  Genes in mother's side  In...   \n",
              "2         Patient Age  Genes in mother's side  In...   \n",
              "3         Patient Age  Genes in mother's side  In...   \n",
              "4         Patient Age  Genes in mother's side  In...   \n",
              "\n",
              "                                                   1  \n",
              "0  1192    2.00\n",
              "14613   0.00\n",
              "3690    2.00\n",
              "12877  ...  \n",
              "1  19990   5.00\n",
              "19212   0.00\n",
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              "19707  ...  \n",
              "3  17206   3.00\n",
              "492     1.00\n",
              "21674   5.00\n",
              "3642   ...  \n",
              "4  6613    3.00\n",
              "20441   0.00\n",
              "17553   0.00\n",
              "18873  ...  "
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df = pd.DataFrame(x[0], )\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xYrjQD35Z5f7"
      },
      "outputs": [],
      "source": []
    }
  ],
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    "colab": {
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    },
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