COVID_HOSPITAL_TREATMENT_Predicting_Patient's_Length_of_Stay(LOS)_using_Kaggle_Data.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "COVID HOSPITAL TREATMENT: Predicting Patient's Length of Stay(LOS) using Kaggle Data",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/taiwotman/TaiwotmanGoogleColab/blob/main/COVID_HOSPITAL_TREATMENT_Predicting_Patient's_Length_of_Stay(LOS)_using_Kaggle_Data.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uUxJ0TdeqdTJ"
      },
      "source": [
        "## **Multi-Class Classification of COVID-19 Patients based on Length of Stay**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7TAj51jFn_-z"
      },
      "source": [
        "***Description***: **[COVID HOSPITAL TREATMENT](https://www.kaggle.com/arashnic/covid19-hospital-treatment)**\n",
        "\n",
        "Kaggle dataset available for download: [data](https://www.kaggle.com/arashnic/covid19-hospital-treatment/download)\n",
        "\n",
        "\n",
        "\n",
        "***Authored by:*** Taiwo O. Adetiloye | [Website](https://taiwotman.github.io)\n",
        "\n",
        "***Date:*** March 15, 2021\n",
        "\n",
        "---\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YJXgl_0iqPq4"
      },
      "source": [
        "### **1. Set Up**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pRvqT1spUfIJ"
      },
      "source": [
        "**Mount content from Google Drive**\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TsKj0QruWGpn",
        "outputId": "89f9e708-b39f-41ee-92d0-9a6ae885dba9"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "159mQnlapRTV"
      },
      "source": [
        "**Install Java 8**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uokR5JVBYM8g"
      },
      "source": [
        "!apt-get install openjdk-8-jdk-headless -qq > /dev/null"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-N-VRSYZpi91"
      },
      "source": [
        "**Install pyspark libraries**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VRdIhnUCYPbJ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "52e9eb06-d96f-4fd0-e233-eb0d1c64db18"
      },
      "source": [
        "!pip install -q findspark\n",
        "!pip install pyspark\n",
        "!pip install matplotlib\n",
        "!pip install seaborn\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting pyspark\n",
            "  Downloading pyspark-3.1.2.tar.gz (212.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 212.4 MB 70 kB/s \n",
            "\u001b[?25hCollecting py4j==0.10.9\n",
            "  Downloading py4j-0.10.9-py2.py3-none-any.whl (198 kB)\n",
            "\u001b[K     |████████████████████████████████| 198 kB 83.1 MB/s \n",
            "\u001b[?25hBuilding wheels for collected packages: pyspark\n",
            "  Building wheel for pyspark (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pyspark: filename=pyspark-3.1.2-py2.py3-none-any.whl size=212880768 sha256=8f753e3fae14d7f782726357581e927fd174c66900f6158278f8b0bc64e695dd\n",
            "  Stored in directory: /root/.cache/pip/wheels/a5/0a/c1/9561f6fecb759579a7d863dcd846daaa95f598744e71b02c77\n",
            "Successfully built pyspark\n",
            "Installing collected packages: py4j, pyspark\n",
            "Successfully installed py4j-0.10.9 pyspark-3.1.2\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (3.2.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib) (0.10.0)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib) (2.8.2)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib) (1.3.2)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib) (2.4.7)\n",
            "Requirement already satisfied: numpy>=1.11 in /usr/local/lib/python3.7/dist-packages (from matplotlib) (1.19.5)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from cycler>=0.10->matplotlib) (1.15.0)\n",
            "Requirement already satisfied: seaborn in /usr/local/lib/python3.7/dist-packages (0.11.2)\n",
            "Requirement already satisfied: matplotlib>=2.2 in /usr/local/lib/python3.7/dist-packages (from seaborn) (3.2.2)\n",
            "Requirement already satisfied: scipy>=1.0 in /usr/local/lib/python3.7/dist-packages (from seaborn) (1.4.1)\n",
            "Requirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.7/dist-packages (from seaborn) (1.19.5)\n",
            "Requirement already satisfied: pandas>=0.23 in /usr/local/lib/python3.7/dist-packages (from seaborn) (1.1.5)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2->seaborn) (2.8.2)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2->seaborn) (2.4.7)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2->seaborn) (1.3.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2->seaborn) (0.10.0)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from cycler>=0.10->matplotlib>=2.2->seaborn) (1.15.0)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.23->seaborn) (2018.9)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HNvqk9-CptIV"
      },
      "source": [
        "**Set JAVA_HOME and SPARK_HOME**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BuakdVqeXCyE"
      },
      "source": [
        "import os\n",
        "os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n",
        "os.environ[\"SPARK_HOME\"] = \"/usr/local/lib/python3.7/dist-packages/pyspark\"\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vh54uX-sp3Vj"
      },
      "source": [
        "**Ensure spark is set up and running.**\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "OXbtvVTvgQW7",
        "outputId": "feb48d33-9985-446e-910b-289567b3a7e9"
      },
      "source": [
        "import findspark \n",
        "findspark.find()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'/usr/local/lib/python3.7/dist-packages/pyspark'"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UdY-CWvCXEmQ"
      },
      "source": [
        "\n",
        "from pyspark.sql import SparkSession\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "spark = SparkSession.builder.master('local')\\\n",
        ".appName(\"Predicting LOS for High Risk Patient\")\\\n",
        ".getOrCreate()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 216
        },
        "id": "IyWFnKUtf7d0",
        "outputId": "5f410a27-6908-40cf-d725-b2f709365628"
      },
      "source": [
        "spark"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "            <div>\n",
              "                <p><b>SparkSession - in-memory</b></p>\n",
              "                \n",
              "        <div>\n",
              "            <p><b>SparkContext</b></p>\n",
              "\n",
              "            <p><a href=\"http://625ea6d00fcd:4040\">Spark UI</a></p>\n",
              "\n",
              "            <dl>\n",
              "              <dt>Version</dt>\n",
              "                <dd><code>v3.1.2</code></dd>\n",
              "              <dt>Master</dt>\n",
              "                <dd><code>local</code></dd>\n",
              "              <dt>AppName</dt>\n",
              "                <dd><code>Predicting LOS for High Risk Patient</code></dd>\n",
              "            </dl>\n",
              "        </div>\n",
              "        \n",
              "            </div>\n",
              "        "
            ],
            "text/plain": [
              "<pyspark.sql.session.SparkSession at 0x7fb0564be150>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uhZktJMQqCif"
      },
      "source": [
        "**Read file from the mounted drive to spark dataframe**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zyDaR2-_gjbI"
      },
      "source": [
        "filepath = \"/content/drive/MyDrive/Colab Notebooks/data/host_train.csv\" # Change this to your data filepath\n",
        "\n",
        "df  = spark.read.option(\"header\", \"true\").csv(filepath)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V9kIQjI0qVEt"
      },
      "source": [
        "### **2. Data Preparation**\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-Wy2E0bLhSi5",
        "outputId": "de9c373b-6730-4188-e4b9-5e808688d09a"
      },
      "source": [
        "df.printSchema()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "root\n",
            " |-- case_id: string (nullable = true)\n",
            " |-- Hospital: string (nullable = true)\n",
            " |-- Hospital_type: string (nullable = true)\n",
            " |-- Hospital_city: string (nullable = true)\n",
            " |-- Hospital_region: string (nullable = true)\n",
            " |-- Available_Extra_Rooms_in_Hospital: string (nullable = true)\n",
            " |-- Department: string (nullable = true)\n",
            " |-- Ward_Type: string (nullable = true)\n",
            " |-- Ward_Facility: string (nullable = true)\n",
            " |-- Bed_Grade: string (nullable = true)\n",
            " |-- patientid: string (nullable = true)\n",
            " |-- City_Code_Patient: string (nullable = true)\n",
            " |-- Type of Admission: string (nullable = true)\n",
            " |-- Illness_Severity: string (nullable = true)\n",
            " |-- Patient_Visitors: string (nullable = true)\n",
            " |-- Age: string (nullable = true)\n",
            " |-- Admission_Deposit: string (nullable = true)\n",
            " |-- Stay_Days: string (nullable = true)\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I8Pv9OcshUnw",
        "outputId": "6cbbde88-2daa-490f-9a53-3df765109f3b"
      },
      "source": [
        "print(f\"Counts of rows/samples: {df.count()}\")\n",
        "print(f\"Counts of columns/features: {len(df.columns)}\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Counts of rows/samples: 318438\n",
            "Counts of columns/features: 18\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "u9Ejddl0hYVC",
        "outputId": "684341dc-6c09-4b14-a391-d8ad22cc891e"
      },
      "source": [
        "df.show(100)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "+-------+--------+-------------+-------------+---------------+---------------------------------+------------------+---------+-------------+---------+---------+-----------------+-----------------+----------------+----------------+-----+-----------------+------------------+\n",
            "|case_id|Hospital|Hospital_type|Hospital_city|Hospital_region|Available_Extra_Rooms_in_Hospital|        Department|Ward_Type|Ward_Facility|Bed_Grade|patientid|City_Code_Patient|Type of Admission|Illness_Severity|Patient_Visitors|  Age|Admission_Deposit|         Stay_Days|\n",
            "+-------+--------+-------------+-------------+---------------+---------------------------------+------------------+---------+-------------+---------+---------+-----------------+-----------------+----------------+----------------+-----+-----------------+------------------+\n",
            "|      1|       8|            2|            3|              2|                                3|      radiotherapy|        R|            F|      2.0|    31397|              7.0|        Emergency|         Extreme|               2|51-60|           4911.0|              0-10|\n",
            "|      2|       2|            2|            5|              2|                                2|      radiotherapy|        S|            F|      2.0|    31397|              7.0|           Trauma|         Extreme|               2|51-60|           5954.0|             41-50|\n",
            "|      3|      10|            4|            1|              0|                                2|        anesthesia|        S|            E|      2.0|    31397|              7.0|           Trauma|         Extreme|               2|51-60|           4745.0|             31-40|\n",
            "|      4|      26|            1|            2|              1|                                2|      radiotherapy|        R|            D|      2.0|    31397|              7.0|           Trauma|         Extreme|               2|51-60|           7272.0|             41-50|\n",
            "|      5|      26|            1|            2|              1|                                2|      radiotherapy|        S|            D|      2.0|    31397|              7.0|           Trauma|         Extreme|               2|51-60|           5558.0|             41-50|\n",
            "|      6|      23|            0|            6|              0|                                2|        anesthesia|        S|            F|      2.0|    31397|              7.0|           Trauma|         Extreme|               2|51-60|           4449.0|             11-20|\n",
            "|      7|      32|            5|            9|              1|                                1|      radiotherapy|        S|            B|      3.0|    31397|              7.0|        Emergency|         Extreme|               2|51-60|           6167.0|              0-10|\n",
            "|      8|      23|            0|            6|              0|                                4|      radiotherapy|        Q|            F|      3.0|    31397|              7.0|           Trauma|         Extreme|               2|51-60|           5571.0|             41-50|\n",
            "|      9|       1|            3|           10|              1|                                2|        gynecology|        R|            B|      4.0|    31397|              7.0|           Trauma|         Extreme|               2|51-60|           7223.0|             51-60|\n",
            "|     10|      10|            4|            1|              0|                                2|        gynecology|        S|            E|      3.0|    31397|              7.0|           Trauma|         Extreme|               2|51-60|           6056.0|             31-40|\n",
            "|     11|      22|            6|            9|              1|                                2|      radiotherapy|        S|            B|      2.0|    31397|              7.0|           Urgent|         Extreme|               2|51-60|           5797.0|             21-30|\n",
            "|     12|      26|            1|            2|              1|                                4|      radiotherapy|        R|            D|      1.0|    31397|              7.0|           Urgent|         Extreme|               2|51-60|           5993.0|             11-20|\n",
            "|     13|      16|            2|            3|              2|                                2|      radiotherapy|        R|            A|      3.0|    31397|              7.0|        Emergency|         Extreme|               2|51-60|           5141.0|              0-10|\n",
            "|     14|       9|            3|            5|              2|                                3|      radiotherapy|        S|            F|      3.0|    31397|              7.0|           Urgent|         Extreme|               2|51-60|           8477.0|             21-30|\n",
            "|     15|       6|            0|            6|              0|                                4|        gynecology|        Q|            F|      3.0|    63418|              8.0|        Emergency|         Extreme|               2|71-80|           2685.0|              0-10|\n",
            "|     16|       6|            0|            6|              0|                                3|        gynecology|        Q|            F|      3.0|    63418|              8.0|        Emergency|         Extreme|               2|71-80|           9398.0|              0-10|\n",
            "|     17|      23|            0|            6|              0|                                4|      radiotherapy|        Q|            F|      3.0|    63418|              8.0|           Urgent|         Extreme|               4|71-80|           2933.0|              0-10|\n",
            "|     18|      29|            0|            4|              0|                                4|        anesthesia|        S|            F|      3.0|    63418|              8.0|        Emergency|         Extreme|               2|71-80|           5342.0|             11-20|\n",
            "|     19|      32|            5|            9|              1|                                4|      radiotherapy|        S|            B|      2.0|    63418|              8.0|           Trauma|         Extreme|               2|71-80|           7442.0|             21-30|\n",
            "|     20|      12|            0|            9|              1|                                4|      radiotherapy|        Q|            B|      2.0|    63418|              8.0|           Trauma|         Extreme|               2|71-80|           5155.0|             31-40|\n",
            "|     21|      16|            2|            3|              2|                                2|        anesthesia|        S|            A|      3.0|    63418|              8.0|           Trauma|         Extreme|               2|71-80|           8181.0|             31-40|\n",
            "|     22|       3|            2|            3|              2|                                2|        anesthesia|        R|            A|      3.0|    63418|              8.0|           Trauma|         Extreme|               2|71-80|           6672.0|             21-30|\n",
            "|     23|      21|            2|            3|              2|                                2|        anesthesia|        S|            A|      3.0|    63418|              8.0|           Trauma|         Extreme|               2|71-80|           6364.0|             11-20|\n",
            "|     24|       6|            0|            6|              0|                                3|        anesthesia|        R|            F|      3.0|    63418|              8.0|           Urgent|         Extreme|               2|71-80|           4664.0|             21-30|\n",
            "|     25|      26|            1|            2|              1|                                4|      radiotherapy|        Q|            D|      1.0|    63418|              8.0|           Trauma|         Extreme|               4|71-80|           4091.0|             31-40|\n",
            "|     26|      28|            1|           11|              0|                                4|        gynecology|        R|            F|      2.0|     8088|              2.0|        Emergency|        Moderate|               2|31-40|           2405.0|             11-20|\n",
            "|     27|      26|            1|            2|              1|                                4|        anesthesia|        Q|            D|      3.0|     8088|              2.0|           Trauma|        Moderate|               2|31-40|           5164.0|             11-20|\n",
            "|     28|      26|            1|            2|              1|                                4|        gynecology|        R|            D|      3.0|     8088|              2.0|           Trauma|        Moderate|               2|31-40|           5055.0|             21-30|\n",
            "|     29|       6|            0|            6|              0|                                4|        gynecology|        Q|            F|      2.0|     8088|              2.0|           Trauma|        Moderate|               4|31-40|           3339.0|             31-40|\n",
            "|     30|      27|            0|            7|              1|                                4|        gynecology|        R|            C|      2.0|     8088|              2.0|           Trauma|        Moderate|               2|31-40|           5757.0|             21-30|\n",
            "|     31|      27|            0|            7|              1|                                3|        gynecology|        R|            C|      3.0|     8088|              2.0|           Urgent|        Moderate|               4|31-40|           4515.0|             51-60|\n",
            "|     32|      19|            0|            7|              1|                                2|        gynecology|        R|            C|      2.0|    28843|              8.0|        Emergency|        Moderate|               2|41-50|           4201.0|              0-10|\n",
            "|     33|      26|            1|            2|              1|                                2|        gynecology|        R|            D|      1.0|    28843|              8.0|           Trauma|        Moderate|               2|41-50|           3822.0|             31-40|\n",
            "|     34|       5|            0|            1|              0|                                4|        gynecology|        R|            E|      2.0|   109338|              5.0|        Emergency|        Moderate|               3|31-40|           4274.0|             11-20|\n",
            "|     35|       5|            0|            1|              0|                                3|        gynecology|        R|            E|      2.0|   109338|              5.0|        Emergency|        Moderate|               3|31-40|           5587.0|             11-20|\n",
            "|     36|      10|            4|            1|              0|                                3|        gynecology|        Q|            E|      2.0|   109338|              5.0|        Emergency|        Moderate|               2|31-40|           3088.0|              0-10|\n",
            "|     37|      26|            1|            2|              1|                                3|        gynecology|        S|            D|      3.0|   115513|              7.0|        Emergency|           Minor|               8|71-80|           4110.0|             21-30|\n",
            "|     38|      12|            0|            9|              1|                                2|      radiotherapy|        S|            B|      2.0|   115513|              7.0|        Emergency|           Minor|               4|71-80|           4531.0|             31-40|\n",
            "|     39|      32|            5|            9|              1|                                2|      radiotherapy|        S|            B|      3.0|   115513|              7.0|        Emergency|           Minor|               2|71-80|           4971.0|             11-20|\n",
            "|     40|      19|            0|            7|              1|                                2|      radiotherapy|        S|            C|      3.0|   115513|              7.0|        Emergency|           Minor|               4|71-80|           4718.0|             71-80|\n",
            "|     41|      26|            1|            2|              1|                                1|      radiotherapy|        S|            D|      3.0|   115513|              7.0|        Emergency|           Minor|               2|71-80|           3650.0|              0-10|\n",
            "|     42|      27|            0|            7|              1|                                2|      radiotherapy|        S|            C|      3.0|    84932|              8.0|        Emergency|        Moderate|               2|31-40|           5038.0|              0-10|\n",
            "|     43|      26|            1|            2|              1|                                4|        gynecology|        R|            D|      2.0|    84932|              8.0|        Emergency|        Moderate|               3|31-40|           3357.0|             41-50|\n",
            "|     44|      19|            0|            7|              1|                                6|        gynecology|        Q|            C|      2.0|    84932|              8.0|        Emergency|        Moderate|               3|31-40|           4353.0|             51-60|\n",
            "|     45|      21|            2|            3|              2|                                2|        gynecology|        S|            A|      2.0|    84932|              8.0|        Emergency|        Moderate|               3|31-40|           5152.0|             51-60|\n",
            "|     46|      19|            0|            7|              1|                                3|        gynecology|        S|            C|      3.0|    84932|              8.0|        Emergency|        Moderate|               6|31-40|           4046.0|More than 100 Days|\n",
            "|     47|      26|            1|            2|              1|                                2|TB & Chest disease|        S|            D|      3.0|    44201|              2.0|        Emergency|         Extreme|               2|51-60|           7606.0|              0-10|\n",
            "|     48|       6|            0|            6|              0|                                2|        gynecology|        R|            F|      3.0|    44201|              2.0|        Emergency|         Extreme|               4|51-60|           6204.0|             51-60|\n",
            "|     49|      23|            0|            6|              0|                                2|TB & Chest disease|        R|            F|      3.0|    44201|              2.0|        Emergency|         Extreme|               2|51-60|           4638.0|             11-20|\n",
            "|     50|      23|            0|            6|              0|                                2|TB & Chest disease|        R|            F|      1.0|    44201|              2.0|        Emergency|         Extreme|               4|51-60|           5327.0|             51-60|\n",
            "|     51|      14|            0|            1|              0|                                2|      radiotherapy|        S|            E|      2.0|    33340|              2.0|           Urgent|        Moderate|               3|31-40|           3945.0|             11-20|\n",
            "|     52|      28|            1|           11|              0|                                4|      radiotherapy|        R|            F|      4.0|    33340|              2.0|        Emergency|        Moderate|               2|31-40|           4253.0|              0-10|\n",
            "|     53|      26|            1|            2|              1|                                5|      radiotherapy|        Q|            D|      2.0|    33340|              2.0|        Emergency|        Moderate|               2|31-40|           4221.0|             21-30|\n",
            "|     54|      13|            0|            5|              2|                                2|      radiotherapy|        R|            F|      4.0|    33340|              2.0|        Emergency|        Moderate|               2|31-40|           4910.0|             21-30|\n",
            "|     55|       9|            3|            5|              2|                                2|      radiotherapy|        R|            F|      4.0|    33340|              2.0|        Emergency|        Moderate|               2|31-40|           4628.0|             11-20|\n",
            "|     56|       8|            2|            3|              2|                                2|      radiotherapy|        R|            F|      4.0|    33340|              2.0|        Emergency|        Moderate|               2|31-40|           5130.0|             21-30|\n",
            "|     57|      28|            1|           11|              0|                                4|      radiotherapy|        R|            F|      2.0|    33340|              2.0|           Trauma|        Moderate|               3|31-40|           3749.0|             21-30|\n",
            "|     58|       6|            0|            6|              0|                                4|      radiotherapy|        Q|            F|      2.0|    33340|              2.0|           Urgent|        Moderate|               2|31-40|           4066.0|             21-30|\n",
            "|     59|       6|            0|            6|              0|                                4|        anesthesia|        R|            F|      4.0|    33340|              2.0|        Emergency|        Moderate|               6|31-40|           5764.0|             31-40|\n",
            "|     60|      28|            1|           11|              0|                                2|      radiotherapy|        R|            F|      4.0|    33340|              2.0|           Trauma|        Moderate|               2|31-40|           3889.0|             11-20|\n",
            "|     61|      31|            2|            3|              2|                                4|        gynecology|        R|            A|      2.0|    83512|              6.0|        Emergency|        Moderate|               2|81-90|           3475.0|              0-10|\n",
            "|     62|      31|            2|            3|              2|                                2|        gynecology|        S|            A|      3.0|    83512|              6.0|        Emergency|        Moderate|               2|81-90|           5429.0|             11-20|\n",
            "|     63|      31|            2|            3|              2|                                2|        gynecology|        R|            A|      3.0|    83512|              6.0|        Emergency|        Moderate|               4|81-90|           4182.0|             51-60|\n",
            "|     64|      31|            2|            3|              2|                                3|        gynecology|        R|            A|      2.0|    83512|              6.0|        Emergency|        Moderate|               2|81-90|           5057.0|             21-30|\n",
            "|     65|      14|            0|            1|              0|                                2|        gynecology|        R|            E|      4.0|    83512|              6.0|        Emergency|        Moderate|               2|81-90|           5792.0|             21-30|\n",
            "|     66|      24|            0|            1|              0|                                2|        gynecology|        R|            E|      4.0|    83512|              6.0|        Emergency|        Moderate|               2|81-90|           5516.0|             11-20|\n",
            "|     67|      17|            4|            1|              0|                                2|        gynecology|        R|            E|      4.0|    83512|              6.0|        Emergency|        Moderate|               2|81-90|           5304.0|              0-10|\n",
            "|     68|      25|            4|            1|              0|                                2|        gynecology|        Q|            E|      4.0|    83512|              6.0|        Emergency|        Moderate|               2|81-90|           5598.0|             11-20|\n",
            "|     69|      10|            4|            1|              0|                                2|        gynecology|        Q|            E|      4.0|    83512|              6.0|        Emergency|        Moderate|               2|81-90|           5082.0|             11-20|\n",
            "|     70|      31|            2|            3|              2|                                7|        gynecology|        R|            A|      2.0|    83512|              6.0|        Emergency|        Moderate|               4|81-90|           3611.0|             21-30|\n",
            "|     71|      31|            2|            3|              2|                                4|        gynecology|        S|            A|      2.0|    83512|              6.0|        Emergency|        Moderate|               2|81-90|           5064.0|              0-10|\n",
            "|     72|      13|            0|            5|              2|                                4|        gynecology|        R|            F|      4.0|    83512|              6.0|        Emergency|        Moderate|               3|81-90|           7057.0|             21-30|\n",
            "|     73|      13|            0|            5|              2|                                4|        gynecology|        R|            F|      4.0|    83512|              6.0|        Emergency|        Moderate|               3|81-90|           5675.0|              0-10|\n",
            "|     74|      19|            0|            7|              1|                                3|        gynecology|        Q|            C|      2.0|    64869|              3.0|        Emergency|        Moderate|               2|61-70|           4311.0|             11-20|\n",
            "|     75|      12|            0|            9|              1|                                2|        gynecology|        S|            B|      2.0|    64869|              3.0|           Trauma|        Moderate|               2|61-70|           5084.0|             11-20|\n",
            "|     76|      32|            5|            9|              1|                                2|        gynecology|        S|            B|      2.0|    64869|              3.0|           Trauma|        Moderate|               2|61-70|           5508.0|             21-30|\n",
            "|     77|      14|            0|            1|              0|                                2|        anesthesia|        S|            E|      4.0|    64869|              3.0|           Trauma|        Moderate|               4|61-70|           4204.0|             71-80|\n",
            "|     78|      24|            0|            1|              0|                                2|        anesthesia|        R|            E|      4.0|    64869|              3.0|           Trauma|        Moderate|               4|61-70|           6694.0|             41-50|\n",
            "|     79|      24|            0|            1|              0|                                2|        anesthesia|        R|            E|      4.0|    64869|              3.0|           Trauma|        Moderate|               4|61-70|           6362.0|             41-50|\n",
            "|     80|      15|            2|            5|              2|                                3|        gynecology|        Q|            F|      2.0|    30632|              4.0|           Trauma|           Minor|               3|41-50|           5364.0|             51-60|\n",
            "|     81|      15|            2|            5|              2|                                2|        gynecology|        S|            F|      2.0|    30632|              4.0|           Trauma|           Minor|               3|41-50|           4382.0|             51-60|\n",
            "|     82|      14|            0|            1|              0|                                3|        gynecology|        R|            E|      2.0|   128803|              2.0|           Trauma|           Minor|               4|41-50|           5387.0|             31-40|\n",
            "|     83|      23|            0|            6|              0|                                3|        anesthesia|        Q|            F|      3.0|   128803|              2.0|           Trauma|           Minor|               7|41-50|           4679.0|             31-40|\n",
            "|     84|      10|            4|            1|              0|                                4|        gynecology|        Q|            E|      1.0|   128803|              2.0|        Emergency|           Minor|               4|41-50|           5150.0|             21-30|\n",
            "|     85|      11|            1|            2|              1|                                3|TB & Chest disease|        Q|            D|      3.0|    82551|              8.0|        Emergency|           Minor|               2|71-80|           4081.0|              0-10|\n",
            "|     86|      11|            1|            2|              1|                                3|        gynecology|        Q|            D|      4.0|    82551|              8.0|           Trauma|           Minor|               2|71-80|           4450.0|             21-30|\n",
            "|     87|      32|            5|            9|              1|                                3|        gynecology|        S|            B|      4.0|    82551|              8.0|        Emergency|           Minor|               2|71-80|           3136.0|              0-10|\n",
            "|     88|      11|            1|            2|              1|                                3|        anesthesia|        Q|            D|      3.0|    88451|              8.0|           Trauma|        Moderate|               4|21-30|           2816.0|              0-10|\n",
            "|     89|      19|            0|            7|              1|                                4|        gynecology|        Q|            C|      2.0|    88451|              8.0|        Emergency|        Moderate|               4|21-30|           5340.0|             11-20|\n",
            "|     90|      19|            0|            7|              1|                                4|        gynecology|        Q|            C|      2.0|    88451|              8.0|        Emergency|        Moderate|               4|21-30|           4551.0|             11-20|\n",
            "|     91|       9|            3|            5|              2|                                3|      radiotherapy|        Q|            F|      3.0|    88451|              8.0|           Urgent|        Moderate|              13|21-30|           3353.0|More than 100 Days|\n",
            "|     92|      19|            0|            7|              1|                                6|        gynecology|        Q|            C|      1.0|    88451|              8.0|        Emergency|        Moderate|               4|21-30|           5430.0|             31-40|\n",
            "|     93|       9|            3|            5|              2|                                4|        gynecology|        R|            F|      2.0|    21257|              7.0|           Urgent|        Moderate|               3|31-40|           5282.0|             11-20|\n",
            "|     94|      23|            0|            6|              0|                                5|        gynecology|        Q|            F|      2.0|    21257|              7.0|           Urgent|        Moderate|               8|31-40|           5254.0|             81-90|\n",
            "|     95|      29|            0|            4|              0|                                4|        gynecology|        S|            F|      2.0|    21257|              7.0|        Emergency|        Moderate|               2|31-40|           4198.0|             21-30|\n",
            "|     96|       1|            3|           10|              1|                                4|        gynecology|        Q|            B|      1.0|    21257|              7.0|           Urgent|        Moderate|               2|31-40|           3750.0|             11-20|\n",
            "|     97|      13|            0|            5|              2|                                3|        gynecology|        R|            F|      2.0|    21257|              7.0|           Urgent|        Moderate|               2|31-40|           6162.0|             21-30|\n",
            "|     98|      15|            2|            5|              2|                                4|        gynecology|        R|            F|      2.0|    21257|              7.0|           Urgent|        Moderate|               3|31-40|           5199.0|             21-30|\n",
            "|     99|      12|            0|            9|              1|                                3|        gynecology|        R|            B|      1.0|    21257|              7.0|           Urgent|        Moderate|               2|31-40|           4796.0|             21-30|\n",
            "|    100|      27|            0|            7|              1|                                6|        anesthesia|        P|            C|      3.0|    48585|              8.0|           Urgent|        Moderate|               3|61-70|           5219.0|             11-20|\n",
            "+-------+--------+-------------+-------------+---------------+---------------------------------+------------------+---------+-------------+---------+---------+-----------------+-----------------+----------------+----------------+-----+-----------------+------------------+\n",
            "only showing top 100 rows\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iiQaJ_86NR5J"
      },
      "source": [
        "**Observations using Dataframe Schema**\n",
        "\n",
        "\n",
        "\\begin{array}{ccc}\n",
        "Column\\:Name&Critical\\:Factor&Data\\:Type&Transformation\\:required&Transformation\\\\\n",
        "case\\_id & No &String &No&N/A \\\\ \n",
        "Hospital & Yes &String&Yes&String\\:to\\:integer\\\\\n",
        "Hospital\\_type & Yes &String&Yes& String\\:to\\:integer\\\\\n",
        "Hospital\\_city & Yes &String&Yes&String\\:to\\:integer\\\\\n",
        "Hospital\\_region & Yes &String&Yes&String\\:to\\:integer\\\\\n",
        "Available\\_extra\\_rooms\\_in\\_hospital & Yes &String&Yes&String\\:to\\:integer\\\\\n",
        "Department & Yes &String&Yes&String\\:to\\:index\\\\\n",
        "Ward\\_type & Yes &String&Yes&String\\:to\\:index\\\\\n",
        "Ward\\_facility & Yes &String&Yes&String\\:to\\:index\\\\\n",
        "Bed\\_grade & Yes &String&Yes&String\\:to\\:integer\\\\\n",
        "Patientid & No &String&Yes&String\\:to\\:integer\\\\\n",
        "City\\_Code\\_Patient & Yes &String&Yes&String\\:to\\:integer\\\\\n",
        "Type\\:of\\:Admission & Yes &String&Yes&String\\:to\\:index\\\\\n",
        "Illness\\_Severity & Yes &String&Yes&String\\:to\\:index\\\\\n",
        "Patient\\_Visitors & Yes &String&Yes&String\\:to\\:integer\\\\\n",
        "Age & Yes &String&Yes&String\\:to\\:index\\\\\n",
        "Admission\\_Deposit& Yes &String&Yes&String\\:to\\:integer\\\\\n",
        "Stay\\_Days & Target\\:variable\\:or\\:Label &String&Yes&String\\:to\\:index\\\\\n",
        "\\end{array}\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zAKmYoIubpql"
      },
      "source": [
        "**First Level Transformation: Rename selected columns**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MOwgFU9siyPk",
        "outputId": "20759bdd-f591-4ddf-9590-186869311dcb"
      },
      "source": [
        "## Rename column \"Type of Admission\" and \"patientid\"\n",
        "df2 = df.withColumnRenamed(\"Type of Admission\", \"Type_of_Admission\")\\\n",
        "      .withColumnRenamed(\"patientid\", \"Patient_id\")\n",
        "\n",
        "## Convert all columns to lower case for uniformity\n",
        "df3 = df2.toDF(*[c.lower() for c in df2.columns])\n",
        "df3.printSchema()\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "root\n",
            " |-- case_id: string (nullable = true)\n",
            " |-- hospital: string (nullable = true)\n",
            " |-- hospital_type: string (nullable = true)\n",
            " |-- hospital_city: string (nullable = true)\n",
            " |-- hospital_region: string (nullable = true)\n",
            " |-- available_extra_rooms_in_hospital: string (nullable = true)\n",
            " |-- department: string (nullable = true)\n",
            " |-- ward_type: string (nullable = true)\n",
            " |-- ward_facility: string (nullable = true)\n",
            " |-- bed_grade: string (nullable = true)\n",
            " |-- patient_id: string (nullable = true)\n",
            " |-- city_code_patient: string (nullable = true)\n",
            " |-- type_of_admission: string (nullable = true)\n",
            " |-- illness_severity: string (nullable = true)\n",
            " |-- patient_visitors: string (nullable = true)\n",
            " |-- age: string (nullable = true)\n",
            " |-- admission_deposit: string (nullable = true)\n",
            " |-- stay_days: string (nullable = true)\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "59fcw78_pxIJ"
      },
      "source": [
        "**Second Level Transformation: Change selected columns from String to Integer**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0G74Qd7YbUxm",
        "outputId": "4b54ef38-a939-4b1b-de90-e9fab0423a39"
      },
      "source": [
        "from pyspark.sql.types import IntegerType\n",
        "import pyspark.sql.functions as F\n",
        "\n",
        "string_to_integer_list = ['hospital', 'hospital_type', 'hospital_city','hospital_region','available_extra_rooms_in_hospital',\n",
        "                          'bed_grade','city_code_patient','patient_visitors','admission_deposit']\n",
        "df4 = df3\n",
        "for col in string_to_integer_list:\n",
        "  df4 = df4.withColumn(col, F.col(col).astype(IntegerType()))\n",
        "\n",
        "df4.printSchema()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "root\n",
            " |-- case_id: string (nullable = true)\n",
            " |-- hospital: integer (nullable = true)\n",
            " |-- hospital_type: integer (nullable = true)\n",
            " |-- hospital_city: integer (nullable = true)\n",
            " |-- hospital_region: integer (nullable = true)\n",
            " |-- available_extra_rooms_in_hospital: integer (nullable = true)\n",
            " |-- department: string (nullable = true)\n",
            " |-- ward_type: string (nullable = true)\n",
            " |-- ward_facility: string (nullable = true)\n",
            " |-- bed_grade: integer (nullable = true)\n",
            " |-- patient_id: string (nullable = true)\n",
            " |-- city_code_patient: integer (nullable = true)\n",
            " |-- type_of_admission: string (nullable = true)\n",
            " |-- illness_severity: string (nullable = true)\n",
            " |-- patient_visitors: integer (nullable = true)\n",
            " |-- age: string (nullable = true)\n",
            " |-- admission_deposit: integer (nullable = true)\n",
            " |-- stay_days: string (nullable = true)\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IcmJfmF7rCD_"
      },
      "source": [
        "**Third Level Transformation: Change selected columns from String to Index**\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Lt0NDOnNrNwi",
        "outputId": "6cc75f31-c147-480f-faa4-b4fae600a8c8"
      },
      "source": [
        "from pyspark.ml.feature import StringIndexer\n",
        "import pyspark.sql.functions as F\n",
        "\n",
        "string_to_integer_list = ['department','ward_facility', 'ward_type','illness_severity','type_of_admission']\n",
        "\n",
        "def custom_stringindex(df, col):\n",
        "  output = col + \"_index\"\n",
        "  indexer = StringIndexer(inputCol=col, outputCol=output)\n",
        "  indexed = indexer.fit(df).transform(df)\n",
        "  \n",
        "  return indexed\n",
        "\n",
        "\n",
        "df5 = df4\n",
        "for col in string_to_integer_list:\n",
        "  df5 = custom_stringindex(df5, col)\n",
        " \n",
        "df5.printSchema()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "root\n",
            " |-- case_id: string (nullable = true)\n",
            " |-- hospital: integer (nullable = true)\n",
            " |-- hospital_type: integer (nullable = true)\n",
            " |-- hospital_city: integer (nullable = true)\n",
            " |-- hospital_region: integer (nullable = true)\n",
            " |-- available_extra_rooms_in_hospital: integer (nullable = true)\n",
            " |-- department: string (nullable = true)\n",
            " |-- ward_type: string (nullable = true)\n",
            " |-- ward_facility: string (nullable = true)\n",
            " |-- bed_grade: integer (nullable = true)\n",
            " |-- patient_id: string (nullable = true)\n",
            " |-- city_code_patient: integer (nullable = true)\n",
            " |-- type_of_admission: string (nullable = true)\n",
            " |-- illness_severity: string (nullable = true)\n",
            " |-- patient_visitors: integer (nullable = true)\n",
            " |-- age: string (nullable = true)\n",
            " |-- admission_deposit: integer (nullable = true)\n",
            " |-- stay_days: string (nullable = true)\n",
            " |-- department_index: double (nullable = false)\n",
            " |-- ward_facility_index: double (nullable = false)\n",
            " |-- ward_type_index: double (nullable = false)\n",
            " |-- illness_severity_index: double (nullable = false)\n",
            " |-- type_of_admission_index: double (nullable = false)\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rBqGIMAbw9w4"
      },
      "source": [
        "### **3. Data Insight**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7Dhpd1lt0Myx"
      },
      "source": [
        "**Using Group By**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aQ7JlE7ivwer",
        "outputId": "703fb3c8-0174-4e63-c0d1-5d0bc3c5a48d"
      },
      "source": [
        "from pyspark.sql.functions import col\n",
        "\n",
        "df5.groupBy(\"stay_days\") \\\n",
        "    .count() \\\n",
        "    .orderBy(col(\"count\").desc()) \\\n",
        "    .show()\n",
        "\n",
        "df5.groupBy(\"illness_severity\") \\\n",
        "    .count() \\\n",
        "    .orderBy(col(\"count\").desc()) \\\n",
        "    .show()\n",
        "\n",
        "df5.groupBy(\"ward_type\") \\\n",
        "    .count() \\\n",
        "    .orderBy(col(\"count\").desc()) \\\n",
        "    .show()\n",
        "\n",
        "df5.groupBy(\"ward_facility\") \\\n",
        "    .count() \\\n",
        "    .orderBy(col(\"count\").desc()) \\\n",
        "    .show()\n",
        "\n",
        "df5.groupBy(\"department\") \\\n",
        "    .count() \\\n",
        "    .orderBy(col(\"count\").desc()) \\\n",
        "    .show()\n",
        "\n",
        "df5.groupBy(\"age\") \\\n",
        "    .count() \\\n",
        "    .orderBy(col(\"count\").desc()) \\\n",
        "    .show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "+------------------+-----+\n",
            "|         stay_days|count|\n",
            "+------------------+-----+\n",
            "|             21-30|87491|\n",
            "|             11-20|78139|\n",
            "|             31-40|55159|\n",
            "|             51-60|35018|\n",
            "|              0-10|23604|\n",
            "|             41-50|11743|\n",
            "|             71-80|10254|\n",
            "|More than 100 Days| 6683|\n",
            "|             81-90| 4838|\n",
            "|            91-100| 2765|\n",
            "|             61-70| 2744|\n",
            "+------------------+-----+\n",
            "\n",
            "+----------------+------+\n",
            "|illness_severity| count|\n",
            "+----------------+------+\n",
            "|        Moderate|175843|\n",
            "|           Minor| 85872|\n",
            "|         Extreme| 56723|\n",
            "+----------------+------+\n",
            "\n",
            "+---------+------+\n",
            "|ward_type| count|\n",
            "+---------+------+\n",
            "|        R|127947|\n",
            "|        Q|106165|\n",
            "|        S| 77794|\n",
            "|        P|  5046|\n",
            "|        T|  1477|\n",
            "|        U|     9|\n",
            "+---------+------+\n",
            "\n",
            "+-------------+------+\n",
            "|ward_facility| count|\n",
            "+-------------+------+\n",
            "|            F|112753|\n",
            "|            E| 55351|\n",
            "|            D| 51809|\n",
            "|            C| 35463|\n",
            "|            B| 35156|\n",
            "|            A| 27906|\n",
            "+-------------+------+\n",
            "\n",
            "+------------------+------+\n",
            "|        department| count|\n",
            "+------------------+------+\n",
            "|        gynecology|249486|\n",
            "|        anesthesia| 29649|\n",
            "|      radiotherapy| 28516|\n",
            "|TB & Chest disease|  9586|\n",
            "|           surgery|  1201|\n",
            "+------------------+------+\n",
            "\n",
            "+------+-----+\n",
            "|   age|count|\n",
            "+------+-----+\n",
            "| 41-50|63749|\n",
            "| 31-40|63639|\n",
            "| 51-60|48514|\n",
            "| 21-30|40843|\n",
            "| 71-80|35792|\n",
            "| 61-70|33687|\n",
            "| 11-20|16768|\n",
            "| 81-90| 7890|\n",
            "|  0-10| 6254|\n",
            "|91-100| 1302|\n",
            "+------+-----+\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iUCqNmHPtiTn"
      },
      "source": [
        "###**4. Machine Learning**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Mc8ILw9WvsV3"
      },
      "source": [
        "input_variable = ['hospital', 'hospital_type', 'hospital_city','hospital_region','available_extra_rooms_in_hospital',\n",
        "                  'bed_grade','city_code_patient','patient_visitors','admission_deposit',\n",
        "                  'department_index', 'ward_facility_index', 'ward_type_index', 'illness_severity_index',\n",
        "                  'type_of_admission_index']\n",
        "\n",
        "label = ['stay_days_index']\n",
        "                    "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h6W0FJj8wpOb"
      },
      "source": [
        "**Feature engineering**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MhZvV-GNwtrU"
      },
      "source": [
        "*Partition training and test sets*"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L1sr-4CLw2vp",
        "outputId": "c6648dd3-c5e6-4786-d995-84f090a30edc"
      },
      "source": [
        "# set seed for reproducibility\n",
        "(trainingData, testData) = df5.randomSplit([0.8, 0.2], seed = 200000)\n",
        "print(\"Training Dataset Count: \" + str(trainingData.count()))\n",
        "print(\"Test Dataset Count: \" + str(testData.count()))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training Dataset Count: 254660\n",
            "Test Dataset Count: 63778\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Al_bU3OyyklX"
      },
      "source": [
        "*Vector Assembler*"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K583PfvSyruy"
      },
      "source": [
        "from pyspark.ml.feature import VectorAssembler\n",
        "\n",
        "assembler = VectorAssembler(\n",
        "    inputCols=input_variable,\n",
        "    outputCol=\"features\",\n",
        "    handleInvalid =\"skip\")\n",
        "\n",
        "df6 = assembler.transform(df5)\n",
        "\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MDreazqHGDWk"
      },
      "source": [
        "Principal Component Analysis(PCA)\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KuKC7RPT-JX8"
      },
      "source": [
        "from pyspark.ml.feature import PCA\n",
        "\n",
        "pca =PCA(k=10, inputCol=\"features\", outputCol=\"pcaFeatures\") \n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "X12Czyv9Ga0a"
      },
      "source": [
        "\n",
        "Standardization\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E2Mo5hVHBL9f"
      },
      "source": [
        "from pyspark.ml.feature import StandardScaler\n",
        "\n",
        "scaler = StandardScaler(inputCol=\"pcaFeatures\", outputCol=\"scaledFeatures\",\n",
        "                        withStd=True, withMean=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GdW5kYjYtbfS"
      },
      "source": [
        "**Decison Tree**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jTLOM-FstJpw"
      },
      "source": [
        "from pyspark.ml.feature import IndexToString\n",
        "from pyspark.ml.classification import DecisionTreeClassifier\n",
        "from pyspark.ml import Pipeline\n",
        "\n",
        "labelIndexer = StringIndexer(inputCol=\"stay_days\", outputCol=\"stay_days_index\").fit(df6)\n",
        "# Train a LogisticRegression model.\n",
        "dt = DecisionTreeClassifier(labelCol=\"stay_days_index\", featuresCol=\"scaledFeatures\")\n",
        "\n",
        "# Convert indexed labels back to original labels.\n",
        "labelConverter = IndexToString(inputCol=\"prediction\", outputCol=\"predictedLabel\", labels=labelIndexer.labels)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7c4yBar7imYv"
      },
      "source": [
        "# Chain indexers and tree in a Pipeline\n",
        "pipeline = Pipeline(stages=[labelIndexer, assembler, pca, scaler, dt, labelConverter])\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kE8ZHRnyiv1D"
      },
      "source": [
        "model = pipeline.fit(trainingData)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "umXM4ZmG7GgI",
        "outputId": "8f81ea1c-a43f-4277-f37e-c7486ba0932d"
      },
      "source": [
        "predictions_df = model.transform(testData)\n",
        "\n",
        "predictions_df.printSchema()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "root\n",
            " |-- case_id: string (nullable = true)\n",
            " |-- hospital: integer (nullable = true)\n",
            " |-- hospital_type: integer (nullable = true)\n",
            " |-- hospital_city: integer (nullable = true)\n",
            " |-- hospital_region: integer (nullable = true)\n",
            " |-- available_extra_rooms_in_hospital: integer (nullable = true)\n",
            " |-- department: string (nullable = true)\n",
            " |-- ward_type: string (nullable = true)\n",
            " |-- ward_facility: string (nullable = true)\n",
            " |-- bed_grade: integer (nullable = true)\n",
            " |-- patient_id: string (nullable = true)\n",
            " |-- city_code_patient: integer (nullable = true)\n",
            " |-- type_of_admission: string (nullable = true)\n",
            " |-- illness_severity: string (nullable = true)\n",
            " |-- patient_visitors: integer (nullable = true)\n",
            " |-- age: string (nullable = true)\n",
            " |-- admission_deposit: integer (nullable = true)\n",
            " |-- stay_days: string (nullable = true)\n",
            " |-- department_index: double (nullable = false)\n",
            " |-- ward_facility_index: double (nullable = false)\n",
            " |-- ward_type_index: double (nullable = false)\n",
            " |-- illness_severity_index: double (nullable = false)\n",
            " |-- type_of_admission_index: double (nullable = false)\n",
            " |-- stay_days_index: double (nullable = false)\n",
            " |-- features: vector (nullable = true)\n",
            " |-- pcaFeatures: vector (nullable = true)\n",
            " |-- scaledFeatures: vector (nullable = true)\n",
            " |-- rawPrediction: vector (nullable = true)\n",
            " |-- probability: vector (nullable = true)\n",
            " |-- prediction: double (nullable = false)\n",
            " |-- predictedLabel: string (nullable = true)\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mIcDR0yo7ZBO",
        "outputId": "c4f07137-e6ad-4f57-e135-1e9a07c87195"
      },
      "source": [
        "# Select example rows to display.\n",
        "predictions_df.select(\"case_id\", \"illness_severity\",\"type_of_admission\", \"stay_days\", \"predictedLabel\" ).show(40)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "+-------+----------------+-----------------+------------------+------------------+\n",
            "|case_id|illness_severity|type_of_admission|         stay_days|    predictedLabel|\n",
            "+-------+----------------+-----------------+------------------+------------------+\n",
            "|      1|         Extreme|        Emergency|              0-10|             21-30|\n",
            "|    100|        Moderate|           Urgent|             11-20|             11-20|\n",
            "| 100000|        Moderate|           Trauma|             31-40|             11-20|\n",
            "| 100002|        Moderate|           Urgent|             21-30|             21-30|\n",
            "| 100003|        Moderate|           Urgent|             21-30|              0-10|\n",
            "| 100004|         Extreme|           Trauma|             21-30|             21-30|\n",
            "| 100007|         Extreme|        Emergency|             11-20|             11-20|\n",
            "| 100010|           Minor|           Trauma|             21-30|             21-30|\n",
            "| 100022|        Moderate|           Trauma|             11-20|             21-30|\n",
            "| 100026|        Moderate|           Trauma|             21-30|             21-30|\n",
            "| 100034|         Extreme|           Trauma|            91-100|             11-20|\n",
            "| 100036|         Extreme|           Trauma|             41-50|             21-30|\n",
            "| 100037|         Extreme|           Trauma|             21-30|             11-20|\n",
            "| 100040|        Moderate|           Trauma|             21-30|             21-30|\n",
            "| 100041|        Moderate|           Trauma|             11-20|             11-20|\n",
            "| 100043|        Moderate|           Trauma|             11-20|             21-30|\n",
            "| 100044|        Moderate|           Trauma|             21-30|             21-30|\n",
            "| 100058|        Moderate|           Trauma|             51-60|             21-30|\n",
            "| 100060|           Minor|           Trauma|             21-30|             11-20|\n",
            "| 100063|           Minor|           Trauma|             11-20|             11-20|\n",
            "| 100069|        Moderate|           Trauma|             21-30|             11-20|\n",
            "| 100071|        Moderate|           Trauma|             11-20|             21-30|\n",
            "| 100072|         Extreme|           Trauma|             21-30|             21-30|\n",
            "| 100075|         Extreme|        Emergency|             11-20|             11-20|\n",
            "| 100076|        Moderate|           Trauma|             51-60|             51-60|\n",
            "| 100081|        Moderate|           Trauma|More than 100 Days|More than 100 Days|\n",
            "| 100087|         Extreme|        Emergency|              0-10|              0-10|\n",
            "| 100090|         Extreme|           Trauma|             31-40|             51-60|\n",
            "| 100092|        Moderate|        Emergency|              0-10|             21-30|\n",
            "| 100095|        Moderate|        Emergency|             21-30|             31-40|\n",
            "|   1001|         Extreme|        Emergency|             11-20|             21-30|\n",
            "| 100106|        Moderate|        Emergency|              0-10|             11-20|\n",
            "| 100108|        Moderate|        Emergency|              0-10|             11-20|\n",
            "| 100109|        Moderate|           Trauma|             21-30|             11-20|\n",
            "| 100112|           Minor|           Trauma|             11-20|             11-20|\n",
            "| 100119|           Minor|        Emergency|More than 100 Days|             31-40|\n",
            "| 100122|        Moderate|           Trauma|             51-60|             51-60|\n",
            "| 100128|           Minor|        Emergency|              0-10|             11-20|\n",
            "| 100129|        Moderate|        Emergency|             11-20|             21-30|\n",
            "| 100130|        Moderate|           Trauma|             21-30|             21-30|\n",
            "+-------+----------------+-----------------+------------------+------------------+\n",
            "only showing top 40 rows\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0tvtmPOtllun"
      },
      "source": [
        "**Random Forest**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q8fanjpslluq"
      },
      "source": [
        "from pyspark.ml.feature import IndexToString\n",
        "from pyspark.ml.classification import RandomForestClassifier\n",
        "from pyspark.ml import Pipeline\n",
        "\n",
        "labelIndexer = StringIndexer(inputCol=\"stay_days\", outputCol=\"stay_days_index\").fit(df6)\n",
        "# Train a LogisticRegression model.\n",
        "rf  = RandomForestClassifier(labelCol=\"stay_days_index\", featuresCol=\"scaledFeatures\")\n",
        "\n",
        "# Convert indexed labels back to original labels.\n",
        "labelConverter = IndexToString(inputCol=\"prediction\", outputCol=\"predictedLabel\", labels=labelIndexer.labels)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kVk2N9FF46Y9"
      },
      "source": [
        "# Chain indexers and tree in a Pipeline\n",
        "pipeline_rf = Pipeline(stages=[labelIndexer, assembler, pca, scaler, rf, labelConverter])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2AnelBeV2raM"
      },
      "source": [
        "model_rf = pipeline_rf.fit(trainingData)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-jRBUw1Ni6kY"
      },
      "source": [
        "predictions_rf = model_rf.transform(testData)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8M6tCc6wJtHk",
        "outputId": "f94d6545-098a-467c-be50-bec790c67e39"
      },
      "source": [
        "# Select example rows to display.\n",
        "predictions_rf.select(\"case_id\", \"illness_severity\",\"type_of_admission\", \"stay_days\", \"predictedLabel\" ).show(40)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "+-------+----------------+-----------------+------------------+--------------+\n",
            "|case_id|illness_severity|type_of_admission|         stay_days|predictedLabel|\n",
            "+-------+----------------+-----------------+------------------+--------------+\n",
            "|      1|         Extreme|        Emergency|              0-10|         21-30|\n",
            "|    100|        Moderate|           Urgent|             11-20|         21-30|\n",
            "| 100000|        Moderate|           Trauma|             31-40|         21-30|\n",
            "| 100002|        Moderate|           Urgent|             21-30|         21-30|\n",
            "| 100003|        Moderate|           Urgent|             21-30|         11-20|\n",
            "| 100004|         Extreme|           Trauma|             21-30|         21-30|\n",
            "| 100007|         Extreme|        Emergency|             11-20|         11-20|\n",
            "| 100010|           Minor|           Trauma|             21-30|         51-60|\n",
            "| 100022|        Moderate|           Trauma|             11-20|         21-30|\n",
            "| 100026|        Moderate|           Trauma|             21-30|         21-30|\n",
            "| 100034|         Extreme|           Trauma|            91-100|         21-30|\n",
            "| 100036|         Extreme|           Trauma|             41-50|         21-30|\n",
            "| 100037|         Extreme|           Trauma|             21-30|         11-20|\n",
            "| 100040|        Moderate|           Trauma|             21-30|         21-30|\n",
            "| 100041|        Moderate|           Trauma|             11-20|         11-20|\n",
            "| 100043|        Moderate|           Trauma|             11-20|         21-30|\n",
            "| 100044|        Moderate|           Trauma|             21-30|         21-30|\n",
            "| 100058|        Moderate|           Trauma|             51-60|         21-30|\n",
            "| 100060|           Minor|           Trauma|             21-30|         11-20|\n",
            "| 100063|           Minor|           Trauma|             11-20|         11-20|\n",
            "| 100069|        Moderate|           Trauma|             21-30|         11-20|\n",
            "| 100071|        Moderate|           Trauma|             11-20|         21-30|\n",
            "| 100072|         Extreme|           Trauma|             21-30|         21-30|\n",
            "| 100075|         Extreme|        Emergency|             11-20|         11-20|\n",
            "| 100076|        Moderate|           Trauma|             51-60|         51-60|\n",
            "| 100081|        Moderate|           Trauma|More than 100 Days|         51-60|\n",
            "| 100087|         Extreme|        Emergency|              0-10|         11-20|\n",
            "| 100090|         Extreme|           Trauma|             31-40|         51-60|\n",
            "| 100092|        Moderate|        Emergency|              0-10|         21-30|\n",
            "| 100095|        Moderate|        Emergency|             21-30|         31-40|\n",
            "|   1001|         Extreme|        Emergency|             11-20|         21-30|\n",
            "| 100106|        Moderate|        Emergency|              0-10|         11-20|\n",
            "| 100108|        Moderate|        Emergency|              0-10|         11-20|\n",
            "| 100109|        Moderate|           Trauma|             21-30|         11-20|\n",
            "| 100112|           Minor|           Trauma|             11-20|         11-20|\n",
            "| 100119|           Minor|        Emergency|More than 100 Days|         51-60|\n",
            "| 100122|        Moderate|           Trauma|             51-60|         51-60|\n",
            "| 100128|           Minor|        Emergency|              0-10|         11-20|\n",
            "| 100129|        Moderate|        Emergency|             11-20|         21-30|\n",
            "| 100130|        Moderate|           Trauma|             21-30|         21-30|\n",
            "+-------+----------------+-----------------+------------------+--------------+\n",
            "only showing top 40 rows\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gIoMF9eaOa73"
      },
      "source": [
        "**Multiclass Classification Evaluation**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P_hLDrQiLD3B"
      },
      "source": [
        "from pyspark.ml.evaluation import MulticlassClassificationEvaluator\n",
        "from pyspark.mllib.evaluation import MulticlassMetrics\n",
        "\n",
        "# Select (prediction, true label) and compute the accuracy and test error\n",
        "def customMulticlassClassificationEvaluator(modelname, predictions):\n",
        "  evaluator = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"accuracy\")\n",
        "  accuracy = evaluator.evaluate(predictions)\n",
        "\n",
        "  evaluator2 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"weightedRecall\")\n",
        "  weightedRecall = evaluator2.evaluate(predictions)\n",
        "\n",
        "  evaluator3 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"weightedPrecision\")\n",
        "  weightedPrecision = evaluator3.evaluate(predictions)\n",
        "\n",
        "  evaluator4 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"weightedTruePositiveRate\")\n",
        "  weightedTruePositiveRate = evaluator4.evaluate(predictions)\n",
        "\n",
        "  evaluator5 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"truePositiveRateByLabel\")\n",
        "  truePositiveRateByLabel = evaluator5.evaluate(predictions)\n",
        "\n",
        "  evaluator6 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"falsePositiveRateByLabel\")\n",
        "  falsePositiveRateByLabel = evaluator6.evaluate(predictions)\n",
        "\n",
        "  evaluator7 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"precisionByLabel\")\n",
        "  precisionByLabel = evaluator7.evaluate(predictions)\n",
        "\n",
        "  evaluator8 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"weightedFMeasure\")\n",
        "  weightedFMeasure = evaluator8.evaluate(predictions)\n",
        "\n",
        "  evaluator9 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"fMeasureByLabel\")\n",
        "  fMeasureByLabel = evaluator9.evaluate(predictions)\n",
        "\n",
        "  evaluator10 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"recallByLabel\")\n",
        "  recallByLabel = evaluator10.evaluate(predictions)\n",
        "\n",
        "  evaluator11 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"logLoss\")\n",
        "  logLoss = evaluator11.evaluate(predictions)\n",
        "\n",
        "  evaluator12 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"hammingLoss\")\n",
        "  hammingLoss = evaluator12.evaluate(predictions)\n",
        "\n",
        "\n",
        "  evaluator13 = MulticlassClassificationEvaluator(\n",
        "      labelCol=\"stay_days_index\", predictionCol=\"prediction\", metricName=\"f1\")\n",
        "  f1 = evaluator13.evaluate(predictions)\n",
        "\n",
        "\n",
        "  print(f'Model name: {modelname}')\n",
        "  print(\"\\tAccuracy = %g \" %(accuracy))\n",
        "  print(\"\\tF1 = %g \" %(f1))\n",
        "  print(\"\\tTest Error = %g \" %(1.0 - accuracy))\n",
        "  print(\"\\tTrue Positive Rate By Label = %g \" %(truePositiveRateByLabel)) \n",
        "  print(\"\\tFalse Positive Rate By Label = %g \" %(falsePositiveRateByLabel)) \n",
        "  print(\"\\tPrecision By Label = %g \" %(precisionByLabel))\n",
        "  print(\"\\tRecall By Label = %g \" %(recallByLabel))\n",
        "  print(\"\\tFMeasure By Label = %g \" %(fMeasureByLabel))\n",
        "  print(\"\\tWeighted Recall = %g \" %(weightedRecall))\n",
        "  print(\"\\tWeighted Precision = %g \" %(weightedPrecision))\n",
        "  print(\"\\tWeighted True Positive Rate = %g \" %(weightedTruePositiveRate))  \n",
        "  print(\"\\tWeighted FMeasure = %g \" %(weightedFMeasure))\n",
        "  print(\"\\tLog Loss = %g \" %(logLoss))\n",
        "  print(\"\\tHamming Loss = %g \" %(hammingLoss))\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WaX-BRBPjAHD",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "55e509f5-d3f1-4925-f783-ee56e8f366de"
      },
      "source": [
        "# MulticlassClassification Evaluation for DecisionTree Classifier\n",
        "customMulticlassClassificationEvaluator(\"DecisionTreeClassifier\", predictions_df)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model name: DecisionTreeClassifier\n",
            "\tAccuracy = 0.35497 \n",
            "\tF1 = 0.317017 \n",
            "\tTest Error = 0.64503 \n",
            "\tTrue Positive Rate By Label = 0.521767 \n",
            "\tFalse Positive Rate By Label = 0.335225 \n",
            "\tPrecision By Label = 0.373221 \n",
            "\tRecall By Label = 0.521767 \n",
            "\tFMeasure By Label = 0.435166 \n",
            "\tWeighted Recall = 0.35497 \n",
            "\tWeighted Precision = 0.309599 \n",
            "\tWeighted True Positive Rate = 0.35497 \n",
            "\tWeighted FMeasure = 0.317017 \n",
            "\tLog Loss = 1.69749 \n",
            "\tHamming Loss = 0.64503 \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ljnZtpHxjBwX",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "27a2351f-6507-4854-a917-f4bd1b801c82"
      },
      "source": [
        "# MulticlassClassification Evaluation for RandomForest Classifier\n",
        "customMulticlassClassificationEvaluator(\"RandomForest\", predictions_rf)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model name: RandomForest\n",
            "\tAccuracy = 0.358598 \n",
            "\tF1 = 0.310963 \n",
            "\tTest Error = 0.641402 \n",
            "\tTrue Positive Rate By Label = 0.605268 \n",
            "\tFalse Positive Rate By Label = 0.388511 \n",
            "\tPrecision By Label = 0.373439 \n",
            "\tRecall By Label = 0.605268 \n",
            "\tFMeasure By Label = 0.461896 \n",
            "\tWeighted Recall = 0.358598 \n",
            "\tWeighted Precision = 0.290191 \n",
            "\tWeighted True Positive Rate = 0.358598 \n",
            "\tWeighted FMeasure = 0.310963 \n",
            "\tLog Loss = 1.68618 \n",
            "\tHamming Loss = 0.641402 \n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kZaC_iOqTqAK"
      },
      "source": [
        "### **5. Virtualization**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KtzIGLlZlGzC"
      },
      "source": [
        "#### ***Correlation Matrix***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7eNPh_ywphNO"
      },
      "source": [
        "##### **Decision Tree**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1NNIUAe9ToBz"
      },
      "source": [
        "df1= predictions_df.toPandas()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 396
        },
        "id": "bYwkR4ktXlRx",
        "outputId": "0a8945f8-3fdf-4aab-ab56-69ea1e998e80"
      },
      "source": [
        "df1.corr().style.background_gradient(cmap='coolwarm').set_precision(2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col1,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col2,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col3,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col8,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col10,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col11,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col15{\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col1,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col11,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col1{\n",
              "            background-color:  #6180e9;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col2,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col4{\n",
              "            background-color:  #7093f3;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col3,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col1,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col11,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col15,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col2,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col10,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col8,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col4{\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col1,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col2,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col12{\n",
              "            background-color:  #536edd;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col8,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col11,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col3,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col10{\n",
              "            background-color:  #5875e1;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col11,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col2,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col14{\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col8{\n",
              "            background-color:  #5a78e4;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col8,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col15,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col15,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col3{\n",
              "            background-color:  #6f92f3;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col1,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col14{\n",
              "            background-color:  #5673e0;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col10,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col8{\n",
              "            background-color:  #7a9df8;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col11,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col2{\n",
              "            background-color:  #4b64d5;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col10,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col8{\n",
              "            background-color:  #4961d2;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col1,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col11,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col13{\n",
              "            background-color:  #4f69d9;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col3,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col11,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col9{\n",
              "            background-color:  #6384eb;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col15,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col15,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col10,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col1{\n",
              "            background-color:  #6485ec;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col15,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col0{\n",
              "            background-color:  #6b8df0;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col2,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col15,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col6{\n",
              "            background-color:  #455cce;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col3{\n",
              "            background-color:  #b2ccfb;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col2,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col12{\n",
              "            background-color:  #485fd1;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col1,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col10{\n",
              "            background-color:  #5470de;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col8,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col1,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col8{\n",
              "            background-color:  #6788ee;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col10{\n",
              "            background-color:  #a3c2fe;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col11{\n",
              "            background-color:  #92b4fe;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col10,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col9{\n",
              "            background-color:  #4c66d6;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col0{\n",
              "            background-color:  #86a9fc;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col3,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col15{\n",
              "            background-color:  #6282ea;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col2,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col11,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col8{\n",
              "            background-color:  #4e68d8;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col3{\n",
              "            background-color:  #688aef;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col10{\n",
              "            background-color:  #6e90f2;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col15{\n",
              "            background-color:  #779af7;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col1{\n",
              "            background-color:  #aac7fd;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col2,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col1,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col13{\n",
              "            background-color:  #4a63d3;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col9,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col13{\n",
              "            background-color:  #506bda;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col15{\n",
              "            background-color:  #7396f5;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col3,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col1,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col15{\n",
              "            background-color:  #5e7de7;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col8{\n",
              "            background-color:  #799cf8;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col10{\n",
              "            background-color:  #e7d7ce;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col11{\n",
              "            background-color:  #88abfd;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col0{\n",
              "            background-color:  #5f7fe8;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col2,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col8,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col2{\n",
              "            background-color:  #3c4ec2;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col2{\n",
              "            background-color:  #3f53c6;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col10{\n",
              "            background-color:  #7da0f9;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col10,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col4,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col11,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col2,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col6{\n",
              "            background-color:  #4358cb;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col12,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col8{\n",
              "            background-color:  #445acc;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col13,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col3,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col1,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col8{\n",
              "            background-color:  #5b7ae5;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col3,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col10,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col11{\n",
              "            background-color:  #5572df;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col6,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col6{\n",
              "            background-color:  #4055c8;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col15{\n",
              "            background-color:  #bed2f6;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col3,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col11{\n",
              "            background-color:  #8fb1fe;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col8,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col3{\n",
              "            background-color:  #6a8bef;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col14,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col2{\n",
              "            background-color:  #5d7ce6;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col4{\n",
              "            background-color:  #7ea1fa;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col5,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col3{\n",
              "            background-color:  #7699f6;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col6{\n",
              "            background-color:  #3e51c5;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col14{\n",
              "            background-color:  #d2dbe8;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col15,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col7{\n",
              "            background-color:  #f7a688;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col0,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col10{\n",
              "            background-color:  #6c8ff1;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col11{\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col7,#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col2{\n",
              "            background-color:  #6687ed;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col8{\n",
              "            background-color:  #7b9ff9;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col0{\n",
              "            background-color:  #89acfd;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col1{\n",
              "            background-color:  #a9c6fd;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col3{\n",
              "            background-color:  #ecd3c5;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col15{\n",
              "            background-color:  #80a3fa;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col1{\n",
              "            background-color:  #9dbdff;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col3{\n",
              "            background-color:  #9bbcff;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col9{\n",
              "            background-color:  #5977e3;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col10{\n",
              "            background-color:  #96b7ff;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col11{\n",
              "            background-color:  #516ddb;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col7{\n",
              "            background-color:  #d7dce3;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col15{\n",
              "            background-color:  #cfdaea;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col5{\n",
              "            background-color:  #b7cff9;\n",
              "            color:  #000000;\n",
              "        }#T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col14{\n",
              "            background-color:  #c9d7f0;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >hospital</th>        <th class=\"col_heading level0 col1\" >hospital_type</th>        <th class=\"col_heading level0 col2\" >hospital_city</th>        <th class=\"col_heading level0 col3\" >hospital_region</th>        <th class=\"col_heading level0 col4\" >available_extra_rooms_in_hospital</th>        <th class=\"col_heading level0 col5\" >bed_grade</th>        <th class=\"col_heading level0 col6\" >city_code_patient</th>        <th class=\"col_heading level0 col7\" >patient_visitors</th>        <th class=\"col_heading level0 col8\" >admission_deposit</th>        <th class=\"col_heading level0 col9\" >department_index</th>        <th class=\"col_heading level0 col10\" >ward_facility_index</th>        <th class=\"col_heading level0 col11\" >ward_type_index</th>        <th class=\"col_heading level0 col12\" >illness_severity_index</th>        <th class=\"col_heading level0 col13\" >type_of_admission_index</th>        <th class=\"col_heading level0 col14\" >stay_days_index</th>        <th class=\"col_heading level0 col15\" >prediction</th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >hospital</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col0\" class=\"data row0 col0\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col1\" class=\"data row0 col1\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.13</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col3\" class=\"data row0 col3\" >-0.14</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col4\" class=\"data row0 col4\" >-0.06</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col5\" class=\"data row0 col5\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col6\" class=\"data row0 col6\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col7\" class=\"data row0 col7\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col8\" class=\"data row0 col8\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col9\" class=\"data row0 col9\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col10\" class=\"data row0 col10\" >0.13</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col11\" class=\"data row0 col11\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col12\" class=\"data row0 col12\" >0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col13\" class=\"data row0 col13\" >-0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col14\" class=\"data row0 col14\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row0_col15\" class=\"data row0 col15\" >0.00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >hospital_type</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col0\" class=\"data row1 col0\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col1\" class=\"data row1 col1\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col2\" class=\"data row1 col2\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col3\" class=\"data row1 col3\" >0.27</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col4\" class=\"data row1 col4\" >-0.10</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col5\" class=\"data row1 col5\" >0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col6\" class=\"data row1 col6\" >0.06</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col7\" class=\"data row1 col7\" >-0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col8\" class=\"data row1 col8\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col9\" class=\"data row1 col9\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col10\" class=\"data row1 col10\" >0.26</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col11\" class=\"data row1 col11\" >0.22</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col12\" class=\"data row1 col12\" >0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col13\" class=\"data row1 col13\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col14\" class=\"data row1 col14\" >0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row1_col15\" class=\"data row1 col15\" >0.04</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >hospital_city</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col0\" class=\"data row2 col0\" >0.13</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col1\" class=\"data row2 col1\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col4\" class=\"data row2 col4\" >-0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col5\" class=\"data row2 col5\" >-0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col6\" class=\"data row2 col6\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col7\" class=\"data row2 col7\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col8\" class=\"data row2 col8\" >-0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col9\" class=\"data row2 col9\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col10\" class=\"data row2 col10\" >0.10</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col11\" class=\"data row2 col11\" >-0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col12\" class=\"data row2 col12\" >-0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col13\" class=\"data row2 col13\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col14\" class=\"data row2 col14\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row2_col15\" class=\"data row2 col15\" >0.07</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >hospital_region</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col0\" class=\"data row3 col0\" >-0.14</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col1\" class=\"data row3 col1\" >0.27</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col2\" class=\"data row3 col2\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col3\" class=\"data row3 col3\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col4\" class=\"data row3 col4\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col5\" class=\"data row3 col5\" >-0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col6\" class=\"data row3 col6\" >0.15</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col7\" class=\"data row3 col7\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col8\" class=\"data row3 col8\" >0.07</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col9\" class=\"data row3 col9\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col10\" class=\"data row3 col10\" >0.51</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col11\" class=\"data row3 col11\" >0.19</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col12\" class=\"data row3 col12\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col13\" class=\"data row3 col13\" >0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col14\" class=\"data row3 col14\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row3_col15\" class=\"data row3 col15\" >0.03</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >available_extra_rooms_in_hospital</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col0\" class=\"data row4 col0\" >-0.06</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col1\" class=\"data row4 col1\" >-0.10</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col2\" class=\"data row4 col2\" >-0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col3\" class=\"data row4 col3\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col4\" class=\"data row4 col4\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col5\" class=\"data row4 col5\" >-0.12</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col6\" class=\"data row4 col6\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col7\" class=\"data row4 col7\" >0.09</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col8\" class=\"data row4 col8\" >-0.14</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col9\" class=\"data row4 col9\" >-0.09</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col10\" class=\"data row4 col10\" >-0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col11\" class=\"data row4 col11\" >-0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col12\" class=\"data row4 col12\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col13\" class=\"data row4 col13\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col14\" class=\"data row4 col14\" >-0.10</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row4_col15\" class=\"data row4 col15\" >-0.15</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >bed_grade</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col0\" class=\"data row5 col0\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col1\" class=\"data row5 col1\" >0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col2\" class=\"data row5 col2\" >-0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col3\" class=\"data row5 col3\" >-0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col4\" class=\"data row5 col4\" >-0.12</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col5\" class=\"data row5 col5\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col6\" class=\"data row5 col6\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col7\" class=\"data row5 col7\" >0.09</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col8\" class=\"data row5 col8\" >0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col9\" class=\"data row5 col9\" >0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col10\" class=\"data row5 col10\" >-0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col11\" class=\"data row5 col11\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col12\" class=\"data row5 col12\" >-0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col13\" class=\"data row5 col13\" >-0.06</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col14\" class=\"data row5 col14\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row5_col15\" class=\"data row5 col15\" >0.30</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >city_code_patient</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col0\" class=\"data row6 col0\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col1\" class=\"data row6 col1\" >0.06</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col2\" class=\"data row6 col2\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.15</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col4\" class=\"data row6 col4\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col5\" class=\"data row6 col5\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col6\" class=\"data row6 col6\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col7\" class=\"data row6 col7\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col8\" class=\"data row6 col8\" >0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col9\" class=\"data row6 col9\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col10\" class=\"data row6 col10\" >0.14</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col11\" class=\"data row6 col11\" >0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col12\" class=\"data row6 col12\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col13\" class=\"data row6 col13\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col14\" class=\"data row6 col14\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row6_col15\" class=\"data row6 col15\" >0.00</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >patient_visitors</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col0\" class=\"data row7 col0\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col1\" class=\"data row7 col1\" >-0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col2\" class=\"data row7 col2\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col3\" class=\"data row7 col3\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col4\" class=\"data row7 col4\" >0.09</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col5\" class=\"data row7 col5\" >0.09</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col6\" class=\"data row7 col6\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col7\" class=\"data row7 col7\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col8\" class=\"data row7 col8\" >-0.15</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col9\" class=\"data row7 col9\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col10\" class=\"data row7 col10\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col11\" class=\"data row7 col11\" >0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col12\" class=\"data row7 col12\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col13\" class=\"data row7 col13\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col14\" class=\"data row7 col14\" >0.40</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row7_col15\" class=\"data row7 col15\" >0.67</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >admission_deposit</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col0\" class=\"data row8 col0\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col1\" class=\"data row8 col1\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col2\" class=\"data row8 col2\" >-0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col3\" class=\"data row8 col3\" >0.07</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col4\" class=\"data row8 col4\" >-0.14</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col5\" class=\"data row8 col5\" >0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col6\" class=\"data row8 col6\" >0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col7\" class=\"data row8 col7\" >-0.15</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col8\" class=\"data row8 col8\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col9\" class=\"data row8 col9\" >0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col10\" class=\"data row8 col10\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col11\" class=\"data row8 col11\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col12\" class=\"data row8 col12\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col13\" class=\"data row8 col13\" >-0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col14\" class=\"data row8 col14\" >-0.09</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row8_col15\" class=\"data row8 col15\" >-0.11</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >department_index</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col0\" class=\"data row9 col0\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col1\" class=\"data row9 col1\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col2\" class=\"data row9 col2\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col3\" class=\"data row9 col3\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col4\" class=\"data row9 col4\" >-0.09</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col5\" class=\"data row9 col5\" >0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col6\" class=\"data row9 col6\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col7\" class=\"data row9 col7\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col8\" class=\"data row9 col8\" >0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col9\" class=\"data row9 col9\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col10\" class=\"data row9 col10\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col11\" class=\"data row9 col11\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col12\" class=\"data row9 col12\" >0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col13\" class=\"data row9 col13\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col14\" class=\"data row9 col14\" >-0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row9_col15\" class=\"data row9 col15\" >0.05</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >ward_facility_index</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col0\" class=\"data row10 col0\" >0.13</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col1\" class=\"data row10 col1\" >0.26</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col2\" class=\"data row10 col2\" >0.10</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col3\" class=\"data row10 col3\" >0.51</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col4\" class=\"data row10 col4\" >-0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col5\" class=\"data row10 col5\" >-0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col6\" class=\"data row10 col6\" >0.14</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col7\" class=\"data row10 col7\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col8\" class=\"data row10 col8\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col9\" class=\"data row10 col9\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col10\" class=\"data row10 col10\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col11\" class=\"data row10 col11\" >0.22</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col12\" class=\"data row10 col12\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col13\" class=\"data row10 col13\" >0.07</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col14\" class=\"data row10 col14\" >0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row10_col15\" class=\"data row10 col15\" >0.09</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >ward_type_index</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col0\" class=\"data row11 col0\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col1\" class=\"data row11 col1\" >0.22</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col2\" class=\"data row11 col2\" >-0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col3\" class=\"data row11 col3\" >0.19</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col4\" class=\"data row11 col4\" >-0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col5\" class=\"data row11 col5\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col6\" class=\"data row11 col6\" >0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col7\" class=\"data row11 col7\" >0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col8\" class=\"data row11 col8\" >-0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col9\" class=\"data row11 col9\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col10\" class=\"data row11 col10\" >0.22</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col11\" class=\"data row11 col11\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col12\" class=\"data row11 col12\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col13\" class=\"data row11 col13\" >0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col14\" class=\"data row11 col14\" >0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row11_col15\" class=\"data row11 col15\" >0.04</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >illness_severity_index</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col0\" class=\"data row12 col0\" >0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col1\" class=\"data row12 col1\" >0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col2\" class=\"data row12 col2\" >-0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col3\" class=\"data row12 col3\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col4\" class=\"data row12 col4\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col5\" class=\"data row12 col5\" >-0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col6\" class=\"data row12 col6\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col7\" class=\"data row12 col7\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col8\" class=\"data row12 col8\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col9\" class=\"data row12 col9\" >0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col10\" class=\"data row12 col10\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col11\" class=\"data row12 col11\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col12\" class=\"data row12 col12\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col13\" class=\"data row12 col13\" >0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col14\" class=\"data row12 col14\" >0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row12_col15\" class=\"data row12 col15\" >-0.01</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >type_of_admission_index</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col0\" class=\"data row13 col0\" >-0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col1\" class=\"data row13 col1\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col2\" class=\"data row13 col2\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col3\" class=\"data row13 col3\" >0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col4\" class=\"data row13 col4\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col5\" class=\"data row13 col5\" >-0.06</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col6\" class=\"data row13 col6\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col7\" class=\"data row13 col7\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col8\" class=\"data row13 col8\" >-0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col9\" class=\"data row13 col9\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col10\" class=\"data row13 col10\" >0.07</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col11\" class=\"data row13 col11\" >0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col12\" class=\"data row13 col12\" >0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col13\" class=\"data row13 col13\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col14\" class=\"data row13 col14\" >-0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row13_col15\" class=\"data row13 col15\" >-0.02</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >stay_days_index</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col0\" class=\"data row14 col0\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col1\" class=\"data row14 col1\" >0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col2\" class=\"data row14 col2\" >0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col3\" class=\"data row14 col3\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col4\" class=\"data row14 col4\" >-0.10</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col5\" class=\"data row14 col5\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col6\" class=\"data row14 col6\" >0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col7\" class=\"data row14 col7\" >0.40</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col8\" class=\"data row14 col8\" >-0.09</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col9\" class=\"data row14 col9\" >-0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col10\" class=\"data row14 col10\" >0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col11\" class=\"data row14 col11\" >0.08</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col12\" class=\"data row14 col12\" >0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col13\" class=\"data row14 col13\" >-0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col14\" class=\"data row14 col14\" >1.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row14_col15\" class=\"data row14 col15\" >0.37</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002level0_row15\" class=\"row_heading level0 row15\" >prediction</th>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col0\" class=\"data row15 col0\" >0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col1\" class=\"data row15 col1\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col2\" class=\"data row15 col2\" >0.07</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col3\" class=\"data row15 col3\" >0.03</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col4\" class=\"data row15 col4\" >-0.15</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col5\" class=\"data row15 col5\" >0.30</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col6\" class=\"data row15 col6\" >0.00</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col7\" class=\"data row15 col7\" >0.67</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col8\" class=\"data row15 col8\" >-0.11</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col9\" class=\"data row15 col9\" >0.05</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col10\" class=\"data row15 col10\" >0.09</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col11\" class=\"data row15 col11\" >0.04</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col12\" class=\"data row15 col12\" >-0.01</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col13\" class=\"data row15 col13\" >-0.02</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col14\" class=\"data row15 col14\" >0.37</td>\n",
              "                        <td id=\"T_755c6d6c_29e7_11ec_82a1_0242ac1c0002row15_col15\" class=\"data row15 col15\" >1.00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fb053853410>"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "s2hFhb20pwHZ"
      },
      "source": [
        "##### **Random Forest**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dZg26cDFp2B6"
      },
      "source": [
        "df2= predictions_rf.toPandas()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 395
        },
        "id": "1DRBaZHsqCh-",
        "outputId": "39bc9d4a-88a4-4caa-f94d-2717e0ba0754"
      },
      "source": [
        "df2.corr().style.background_gradient(cmap='coolwarm').set_precision(2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col0,#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col2,#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col3,#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col8,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col10,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col11,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col14,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col15{\n",
              "            background-color:  #b40426;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col11,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col0{\n",
              "            background-color:  #6180e9;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col2,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col14{\n",
              "            background-color:  #7093f3;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col3,#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col0,#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col11,#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col14,#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col15,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col2,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col10,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col8,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col4{\n",
              "            background-color:  #3b4cc0;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col14,#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col0,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col3,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col11{\n",
              "            background-color:  #6384eb;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col8,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col0,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col11,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col3,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col10{\n",
              "            background-color:  #5875e1;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col11,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col2,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col14{\n",
              "            background-color:  #3d50c3;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col14,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col0,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col15,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col8{\n",
              "            background-color:  #5a78e4;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col8,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col3{\n",
              "            background-color:  #6f92f3;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col14,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col14{\n",
              "            background-color:  #5673e0;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col10,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col8{\n",
              "            background-color:  #7a9df8;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col11,#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col2{\n",
              "            background-color:  #4b64d5;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col10,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col8,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col8{\n",
              "            background-color:  #4961d2;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col0,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col11,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col13{\n",
              "            background-color:  #4f69d9;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col15,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col3{\n",
              "            background-color:  #7699f6;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col0,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col15,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col0,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col10{\n",
              "            background-color:  #6b8df0;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col2,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col6{\n",
              "            background-color:  #455cce;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col3,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col5{\n",
              "            background-color:  #b2ccfb;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col10{\n",
              "            background-color:  #5470de;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col8,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col8{\n",
              "            background-color:  #6788ee;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col10{\n",
              "            background-color:  #a3c2fe;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col11{\n",
              "            background-color:  #92b4fe;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col10,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col12{\n",
              "            background-color:  #4c66d6;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col14,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col14,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col10,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col9{\n",
              "            background-color:  #6485ec;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col15{\n",
              "            background-color:  #7ea1fa;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col0{\n",
              "            background-color:  #86a9fc;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col3,#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col14,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col0,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col0,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col1{\n",
              "            background-color:  #6282ea;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col3{\n",
              "            background-color:  #688aef;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col2,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col11,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col8{\n",
              "            background-color:  #4e68d8;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col10{\n",
              "            background-color:  #6e90f2;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col15{\n",
              "            background-color:  #84a7fc;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col1{\n",
              "            background-color:  #aac7fd;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col2,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col12{\n",
              "            background-color:  #4a63d3;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col15{\n",
              "            background-color:  #7295f4;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col13{\n",
              "            background-color:  #506bda;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col5{\n",
              "            background-color:  #7396f5;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col3,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col14{\n",
              "            background-color:  #5e7de7;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col8{\n",
              "            background-color:  #799cf8;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col10{\n",
              "            background-color:  #e7d7ce;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col11{\n",
              "            background-color:  #88abfd;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col14,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col0{\n",
              "            background-color:  #5f7fe8;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col15,#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col10{\n",
              "            background-color:  #7da0f9;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col2,#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col8,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col2{\n",
              "            background-color:  #3c4ec2;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col2{\n",
              "            background-color:  #3f53c6;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col10,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col11,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col12,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col2{\n",
              "            background-color:  #4358cb;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col12{\n",
              "            background-color:  #445acc;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col13,#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col0,#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col3,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col8,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col11{\n",
              "            background-color:  #5b7ae5;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col3,#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col10,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col5{\n",
              "            background-color:  #5572df;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col1,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col2,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col12{\n",
              "            background-color:  #536edd;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col6,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col6{\n",
              "            background-color:  #4055c8;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col15{\n",
              "            background-color:  #c3d5f4;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col3,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col11{\n",
              "            background-color:  #8fb1fe;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col8,#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col5,#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col3{\n",
              "            background-color:  #6a8bef;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col14,#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col7{\n",
              "            background-color:  #5d7ce6;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col4,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col15{\n",
              "            background-color:  #8db0fe;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col6{\n",
              "            background-color:  #3e51c5;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col14{\n",
              "            background-color:  #d2dbe8;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col15{\n",
              "            background-color:  #f29072;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col0{\n",
              "            background-color:  #6c8ff1;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col11{\n",
              "            background-color:  #4257c9;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col7,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col2,#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col4{\n",
              "            background-color:  #6687ed;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col8{\n",
              "            background-color:  #7b9ff9;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col15,#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col15{\n",
              "            background-color:  #85a8fc;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col0{\n",
              "            background-color:  #89acfd;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col1{\n",
              "            background-color:  #a9c6fd;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col3{\n",
              "            background-color:  #ecd3c5;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col1{\n",
              "            background-color:  #9dbdff;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col3{\n",
              "            background-color:  #9bbcff;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col9,#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col2{\n",
              "            background-color:  #5977e3;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col10{\n",
              "            background-color:  #96b7ff;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col2,#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col6{\n",
              "            background-color:  #485fd1;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col15{\n",
              "            background-color:  #779af7;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col4{\n",
              "            background-color:  #80a3fa;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col11{\n",
              "            background-color:  #516ddb;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col7{\n",
              "            background-color:  #d7dce3;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col15{\n",
              "            background-color:  #dddcdc;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col7{\n",
              "            background-color:  #f39577;\n",
              "            color:  #000000;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col13{\n",
              "            background-color:  #465ecf;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col14{\n",
              "            background-color:  #cfdaea;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >hospital</th>        <th class=\"col_heading level0 col1\" >hospital_type</th>        <th class=\"col_heading level0 col2\" >hospital_city</th>        <th class=\"col_heading level0 col3\" >hospital_region</th>        <th class=\"col_heading level0 col4\" >available_extra_rooms_in_hospital</th>        <th class=\"col_heading level0 col5\" >bed_grade</th>        <th class=\"col_heading level0 col6\" >city_code_patient</th>        <th class=\"col_heading level0 col7\" >patient_visitors</th>        <th class=\"col_heading level0 col8\" >admission_deposit</th>        <th class=\"col_heading level0 col9\" >department_index</th>        <th class=\"col_heading level0 col10\" >ward_facility_index</th>        <th class=\"col_heading level0 col11\" >ward_type_index</th>        <th class=\"col_heading level0 col12\" >illness_severity_index</th>        <th class=\"col_heading level0 col13\" >type_of_admission_index</th>        <th class=\"col_heading level0 col14\" >stay_days_index</th>        <th class=\"col_heading level0 col15\" >prediction</th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >hospital</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col0\" class=\"data row0 col0\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col1\" class=\"data row0 col1\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.13</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col3\" class=\"data row0 col3\" >-0.14</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col4\" class=\"data row0 col4\" >-0.06</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col5\" class=\"data row0 col5\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col6\" class=\"data row0 col6\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col7\" class=\"data row0 col7\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col8\" class=\"data row0 col8\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col9\" class=\"data row0 col9\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col10\" class=\"data row0 col10\" >0.13</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col11\" class=\"data row0 col11\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col12\" class=\"data row0 col12\" >0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col13\" class=\"data row0 col13\" >-0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col14\" class=\"data row0 col14\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row0_col15\" class=\"data row0 col15\" >0.01</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >hospital_type</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col0\" class=\"data row1 col0\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col1\" class=\"data row1 col1\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col2\" class=\"data row1 col2\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col3\" class=\"data row1 col3\" >0.27</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col4\" class=\"data row1 col4\" >-0.10</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col5\" class=\"data row1 col5\" >0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col6\" class=\"data row1 col6\" >0.06</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col7\" class=\"data row1 col7\" >-0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col8\" class=\"data row1 col8\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col9\" class=\"data row1 col9\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col10\" class=\"data row1 col10\" >0.26</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col11\" class=\"data row1 col11\" >0.22</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col12\" class=\"data row1 col12\" >0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col13\" class=\"data row1 col13\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col14\" class=\"data row1 col14\" >0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row1_col15\" class=\"data row1 col15\" >0.04</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >hospital_city</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col0\" class=\"data row2 col0\" >0.13</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col1\" class=\"data row2 col1\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col4\" class=\"data row2 col4\" >-0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col5\" class=\"data row2 col5\" >-0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col6\" class=\"data row2 col6\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col7\" class=\"data row2 col7\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col8\" class=\"data row2 col8\" >-0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col9\" class=\"data row2 col9\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col10\" class=\"data row2 col10\" >0.10</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col11\" class=\"data row2 col11\" >-0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col12\" class=\"data row2 col12\" >-0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col13\" class=\"data row2 col13\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col14\" class=\"data row2 col14\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row2_col15\" class=\"data row2 col15\" >0.06</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >hospital_region</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col0\" class=\"data row3 col0\" >-0.14</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col1\" class=\"data row3 col1\" >0.27</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col2\" class=\"data row3 col2\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col3\" class=\"data row3 col3\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col4\" class=\"data row3 col4\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col5\" class=\"data row3 col5\" >-0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col6\" class=\"data row3 col6\" >0.15</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col7\" class=\"data row3 col7\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col8\" class=\"data row3 col8\" >0.07</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col9\" class=\"data row3 col9\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col10\" class=\"data row3 col10\" >0.51</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col11\" class=\"data row3 col11\" >0.19</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col12\" class=\"data row3 col12\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col13\" class=\"data row3 col13\" >0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col14\" class=\"data row3 col14\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row3_col15\" class=\"data row3 col15\" >0.03</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >available_extra_rooms_in_hospital</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col0\" class=\"data row4 col0\" >-0.06</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col1\" class=\"data row4 col1\" >-0.10</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col2\" class=\"data row4 col2\" >-0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col3\" class=\"data row4 col3\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col4\" class=\"data row4 col4\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col5\" class=\"data row4 col5\" >-0.12</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col6\" class=\"data row4 col6\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col7\" class=\"data row4 col7\" >0.09</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col8\" class=\"data row4 col8\" >-0.14</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col9\" class=\"data row4 col9\" >-0.09</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col10\" class=\"data row4 col10\" >-0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col11\" class=\"data row4 col11\" >-0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col12\" class=\"data row4 col12\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col13\" class=\"data row4 col13\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col14\" class=\"data row4 col14\" >-0.10</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row4_col15\" class=\"data row4 col15\" >-0.22</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >bed_grade</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col0\" class=\"data row5 col0\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col1\" class=\"data row5 col1\" >0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col2\" class=\"data row5 col2\" >-0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col3\" class=\"data row5 col3\" >-0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col4\" class=\"data row5 col4\" >-0.12</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col5\" class=\"data row5 col5\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col6\" class=\"data row5 col6\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col7\" class=\"data row5 col7\" >0.09</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col8\" class=\"data row5 col8\" >0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col9\" class=\"data row5 col9\" >0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col10\" class=\"data row5 col10\" >-0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col11\" class=\"data row5 col11\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col12\" class=\"data row5 col12\" >-0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col13\" class=\"data row5 col13\" >-0.06</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col14\" class=\"data row5 col14\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row5_col15\" class=\"data row5 col15\" >0.28</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >city_code_patient</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col0\" class=\"data row6 col0\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col1\" class=\"data row6 col1\" >0.06</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col2\" class=\"data row6 col2\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.15</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col4\" class=\"data row6 col4\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col5\" class=\"data row6 col5\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col6\" class=\"data row6 col6\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col7\" class=\"data row6 col7\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col8\" class=\"data row6 col8\" >0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col9\" class=\"data row6 col9\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col10\" class=\"data row6 col10\" >0.14</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col11\" class=\"data row6 col11\" >0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col12\" class=\"data row6 col12\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col13\" class=\"data row6 col13\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col14\" class=\"data row6 col14\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row6_col15\" class=\"data row6 col15\" >-0.01</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >patient_visitors</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col0\" class=\"data row7 col0\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col1\" class=\"data row7 col1\" >-0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col2\" class=\"data row7 col2\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col3\" class=\"data row7 col3\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col4\" class=\"data row7 col4\" >0.09</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col5\" class=\"data row7 col5\" >0.09</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col6\" class=\"data row7 col6\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col7\" class=\"data row7 col7\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col8\" class=\"data row7 col8\" >-0.15</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col9\" class=\"data row7 col9\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col10\" class=\"data row7 col10\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col11\" class=\"data row7 col11\" >0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col12\" class=\"data row7 col12\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col13\" class=\"data row7 col13\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col14\" class=\"data row7 col14\" >0.40</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row7_col15\" class=\"data row7 col15\" >0.72</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >admission_deposit</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col0\" class=\"data row8 col0\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col1\" class=\"data row8 col1\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col2\" class=\"data row8 col2\" >-0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col3\" class=\"data row8 col3\" >0.07</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col4\" class=\"data row8 col4\" >-0.14</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col5\" class=\"data row8 col5\" >0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col6\" class=\"data row8 col6\" >0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col7\" class=\"data row8 col7\" >-0.15</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col8\" class=\"data row8 col8\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col9\" class=\"data row8 col9\" >0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col10\" class=\"data row8 col10\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col11\" class=\"data row8 col11\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col12\" class=\"data row8 col12\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col13\" class=\"data row8 col13\" >-0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col14\" class=\"data row8 col14\" >-0.09</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row8_col15\" class=\"data row8 col15\" >-0.09</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >department_index</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col0\" class=\"data row9 col0\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col1\" class=\"data row9 col1\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col2\" class=\"data row9 col2\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col3\" class=\"data row9 col3\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col4\" class=\"data row9 col4\" >-0.09</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col5\" class=\"data row9 col5\" >0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col6\" class=\"data row9 col6\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col7\" class=\"data row9 col7\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col8\" class=\"data row9 col8\" >0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col9\" class=\"data row9 col9\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col10\" class=\"data row9 col10\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col11\" class=\"data row9 col11\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col12\" class=\"data row9 col12\" >0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col13\" class=\"data row9 col13\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col14\" class=\"data row9 col14\" >-0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row9_col15\" class=\"data row9 col15\" >0.06</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >ward_facility_index</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col0\" class=\"data row10 col0\" >0.13</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col1\" class=\"data row10 col1\" >0.26</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col2\" class=\"data row10 col2\" >0.10</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col3\" class=\"data row10 col3\" >0.51</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col4\" class=\"data row10 col4\" >-0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col5\" class=\"data row10 col5\" >-0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col6\" class=\"data row10 col6\" >0.14</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col7\" class=\"data row10 col7\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col8\" class=\"data row10 col8\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col9\" class=\"data row10 col9\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col10\" class=\"data row10 col10\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col11\" class=\"data row10 col11\" >0.22</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col12\" class=\"data row10 col12\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col13\" class=\"data row10 col13\" >0.07</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col14\" class=\"data row10 col14\" >0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row10_col15\" class=\"data row10 col15\" >0.09</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >ward_type_index</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col0\" class=\"data row11 col0\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col1\" class=\"data row11 col1\" >0.22</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col2\" class=\"data row11 col2\" >-0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col3\" class=\"data row11 col3\" >0.19</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col4\" class=\"data row11 col4\" >-0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col5\" class=\"data row11 col5\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col6\" class=\"data row11 col6\" >0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col7\" class=\"data row11 col7\" >0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col8\" class=\"data row11 col8\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col9\" class=\"data row11 col9\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col10\" class=\"data row11 col10\" >0.22</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col11\" class=\"data row11 col11\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col12\" class=\"data row11 col12\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col13\" class=\"data row11 col13\" >0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col14\" class=\"data row11 col14\" >0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row11_col15\" class=\"data row11 col15\" >0.06</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >illness_severity_index</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col0\" class=\"data row12 col0\" >0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col1\" class=\"data row12 col1\" >0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col2\" class=\"data row12 col2\" >-0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col3\" class=\"data row12 col3\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col4\" class=\"data row12 col4\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col5\" class=\"data row12 col5\" >-0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col6\" class=\"data row12 col6\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col7\" class=\"data row12 col7\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col8\" class=\"data row12 col8\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col9\" class=\"data row12 col9\" >0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col10\" class=\"data row12 col10\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col11\" class=\"data row12 col11\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col12\" class=\"data row12 col12\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col13\" class=\"data row12 col13\" >0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col14\" class=\"data row12 col14\" >0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row12_col15\" class=\"data row12 col15\" >0.01</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >type_of_admission_index</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col0\" class=\"data row13 col0\" >-0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col1\" class=\"data row13 col1\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col2\" class=\"data row13 col2\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col3\" class=\"data row13 col3\" >0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col4\" class=\"data row13 col4\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col5\" class=\"data row13 col5\" >-0.06</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col6\" class=\"data row13 col6\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col7\" class=\"data row13 col7\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col8\" class=\"data row13 col8\" >-0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col9\" class=\"data row13 col9\" >-0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col10\" class=\"data row13 col10\" >0.07</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col11\" class=\"data row13 col11\" >0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col12\" class=\"data row13 col12\" >0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col13\" class=\"data row13 col13\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col14\" class=\"data row13 col14\" >-0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row13_col15\" class=\"data row13 col15\" >-0.03</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >stay_days_index</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col0\" class=\"data row14 col0\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col1\" class=\"data row14 col1\" >0.05</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col2\" class=\"data row14 col2\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col3\" class=\"data row14 col3\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col4\" class=\"data row14 col4\" >-0.10</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col5\" class=\"data row14 col5\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col6\" class=\"data row14 col6\" >0.02</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col7\" class=\"data row14 col7\" >0.40</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col8\" class=\"data row14 col8\" >-0.09</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col9\" class=\"data row14 col9\" >-0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col10\" class=\"data row14 col10\" >0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col11\" class=\"data row14 col11\" >0.08</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col12\" class=\"data row14 col12\" >0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col13\" class=\"data row14 col13\" >-0.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col14\" class=\"data row14 col14\" >1.00</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row14_col15\" class=\"data row14 col15\" >0.40</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002level0_row15\" class=\"row_heading level0 row15\" >prediction</th>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col0\" class=\"data row15 col0\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col1\" class=\"data row15 col1\" >0.04</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col2\" class=\"data row15 col2\" >0.06</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col3\" class=\"data row15 col3\" >0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col4\" class=\"data row15 col4\" >-0.22</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col5\" class=\"data row15 col5\" >0.28</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col6\" class=\"data row15 col6\" >-0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col7\" class=\"data row15 col7\" >0.72</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col8\" class=\"data row15 col8\" >-0.09</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col9\" class=\"data row15 col9\" >0.06</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col10\" class=\"data row15 col10\" >0.09</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col11\" class=\"data row15 col11\" >0.06</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col12\" class=\"data row15 col12\" >0.01</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col13\" class=\"data row15 col13\" >-0.03</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col14\" class=\"data row15 col14\" >0.40</td>\n",
              "                        <td id=\"T_281116dc_b716_11eb_a03b_0242ac1c0002row15_col15\" class=\"data row15 col15\" >1.00</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7effaad89110>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iU5XXEqIlXmV"
      },
      "source": [
        "#### ***Bivariate Analysis***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_p9m7lJeEdMt"
      },
      "source": [
        "selected_list = [\"11-20\",\"21-30\",\"41-50\",\"61-70\", \"More than 100 Days\"]\n",
        "\n",
        "def bivariate_analysis(dataframe, dependent_variable, independent_variable, selected_list):\n",
        "   g = sns.catplot(dependent_variable, col=independent_variable, col_wrap=3,\\\n",
        "   data=dataframe,kind=\"count\", height=5, aspect=1, order=selected_list\n",
        "   )"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a3VjCwlLEOQc"
      },
      "source": [
        "**Random Forest**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "LIyPkqM-JW4a",
        "outputId": "15d830dc-f05a-4544-9110-f3d6fb9f1014"
      },
      "source": [
        "bivariate_analysis(df1, \"stay_days\", \"illness_severity\", selected_list)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x360 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rjjK-GE7kpkn",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "outputId": "c23349ef-0161-4f02-dcd0-ebac126d7eae"
      },
      "source": [
        "bivariate_analysis(df1, \"predictedLabel\", \"illness_severity\", selected_list)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x360 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "she1EZoXq6U8"
      },
      "source": [
        "##### **Decision Tree**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3kkPMWCAGR_i",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "outputId": "ba4d87c7-048d-4f23-8a3b-ed72232020ff"
      },
      "source": [
        "bivariate_analysis(df2, \"stay_days\", \"illness_severity\", selected_list)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x360 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "Lf8POHe0rLAP",
        "outputId": "b8dc9203-7ab1-47ef-88fe-296e51d061c6"
      },
      "source": [
        "bivariate_analysis(df2, \"predictedLabel\", \"illness_severity\", selected_list)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x360 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}