notebooks/diabetes_project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/sagartv/diabetes_risk_predictor/blob/main/diabetes_project.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "4-VzGvJ5z7nq"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import sklearn\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "\n",
    "pd.options.display.max_columns = None\n",
    "pd.options.display.width = None\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dotenv import load_dotenv\n",
    "load_dotenv()\n",
    "MLFLOW_TRACKING_URI = os.environ.get('MLFLOW_TRACKING_URI')\n",
    "os.environ['KMP_DUPLICATE_LIB_OK']='True'\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "KOJSxYwqB-vU"
   },
   "source": [
    "Obtain dataset diabetes_binary_health_indicators_BRFSS2015.csv from:\n",
    "https://www.kaggle.com/datasets/alexteboul/diabetes-health-indicators-dataset/data?select=diabetes_binary_health_indicators_BRFSS2015.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "fVnShu5C0xOT"
   },
   "outputs": [],
   "source": [
    "db = pd.read_csv('data/diabetes_binary_health_indicators_BRFSS2015.csv')\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "X5UxQ-0cB4Cl"
   },
   "source": [
    "# Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 163
    },
    "id": "rOpLuFZ-1HVU",
    "outputId": "26ceccff-14a5-4a43-efca-7468bda999f0"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Diabetes_binary</th>\n",
       "      <th>HighBP</th>\n",
       "      <th>HighChol</th>\n",
       "      <th>CholCheck</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Smoker</th>\n",
       "      <th>Stroke</th>\n",
       "      <th>HeartDiseaseorAttack</th>\n",
       "      <th>PhysActivity</th>\n",
       "      <th>Fruits</th>\n",
       "      <th>Veggies</th>\n",
       "      <th>HvyAlcoholConsump</th>\n",
       "      <th>AnyHealthcare</th>\n",
       "      <th>NoDocbcCost</th>\n",
       "      <th>GenHlth</th>\n",
       "      <th>MentHlth</th>\n",
       "      <th>PhysHlth</th>\n",
       "      <th>DiffWalk</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>Education</th>\n",
       "      <th>Income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>40.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Diabetes_binary  HighBP  HighChol  CholCheck   BMI  Smoker  Stroke   \n",
       "0              0.0     1.0       1.0        1.0  40.0     1.0     0.0  \\\n",
       "1              0.0     0.0       0.0        0.0  25.0     1.0     0.0   \n",
       "2              0.0     1.0       1.0        1.0  28.0     0.0     0.0   \n",
       "\n",
       "   HeartDiseaseorAttack  PhysActivity  Fruits  Veggies  HvyAlcoholConsump   \n",
       "0                   0.0           0.0     0.0      1.0                0.0  \\\n",
       "1                   0.0           1.0     0.0      0.0                0.0   \n",
       "2                   0.0           0.0     1.0      0.0                0.0   \n",
       "\n",
       "   AnyHealthcare  NoDocbcCost  GenHlth  MentHlth  PhysHlth  DiffWalk  Sex   \n",
       "0            1.0          0.0      5.0      18.0      15.0       1.0  0.0  \\\n",
       "1            0.0          1.0      3.0       0.0       0.0       0.0  0.0   \n",
       "2            1.0          1.0      5.0      30.0      30.0       1.0  0.0   \n",
       "\n",
       "   Age  Education  Income  \n",
       "0  9.0        4.0     3.0  \n",
       "1  7.0        6.0     1.0  \n",
       "2  9.0        4.0     8.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db.head(3)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "X9ERxrCc2kTi",
    "outputId": "88dcd957-654d-4ac9-9933-94c3c9aed2c9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Diabetes_binary         0\n",
       "HighBP                  0\n",
       "HighChol                0\n",
       "CholCheck               0\n",
       "BMI                     0\n",
       "Smoker                  0\n",
       "Stroke                  0\n",
       "HeartDiseaseorAttack    0\n",
       "PhysActivity            0\n",
       "Fruits                  0\n",
       "Veggies                 0\n",
       "HvyAlcoholConsump       0\n",
       "AnyHealthcare           0\n",
       "NoDocbcCost             0\n",
       "GenHlth                 0\n",
       "MentHlth                0\n",
       "PhysHlth                0\n",
       "DiffWalk                0\n",
       "Sex                     0\n",
       "Age                     0\n",
       "Education               0\n",
       "Income                  0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "IWjOhrxv2ulV",
    "outputId": "3eb3c1bd-4212-4e5a-88de-c15bee4b85d3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(253680, 22)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "JJPV6CzXem1W",
    "outputId": "0f405282-fdb6-4300-a849-47afb7932153"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Diabetes_binary         float64\n",
       "HighBP                  float64\n",
       "HighChol                float64\n",
       "CholCheck               float64\n",
       "BMI                     float64\n",
       "Smoker                  float64\n",
       "Stroke                  float64\n",
       "HeartDiseaseorAttack    float64\n",
       "PhysActivity            float64\n",
       "Fruits                  float64\n",
       "Veggies                 float64\n",
       "HvyAlcoholConsump       float64\n",
       "AnyHealthcare           float64\n",
       "NoDocbcCost             float64\n",
       "GenHlth                 float64\n",
       "MentHlth                float64\n",
       "PhysHlth                float64\n",
       "DiffWalk                float64\n",
       "Sex                     float64\n",
       "Age                     float64\n",
       "Education               float64\n",
       "Income                  float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "7UDEfeVSnGqM",
    "outputId": "4b1c6c8b-8bad-4e28-bfeb-9412a500ceee"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': 'Diabetes_binary'}>,\n",
       "        <Axes: title={'center': 'HighBP'}>,\n",
       "        <Axes: title={'center': 'HighChol'}>,\n",
       "        <Axes: title={'center': 'CholCheck'}>,\n",
       "        <Axes: title={'center': 'BMI'}>],\n",
       "       [<Axes: title={'center': 'Smoker'}>,\n",
       "        <Axes: title={'center': 'Stroke'}>,\n",
       "        <Axes: title={'center': 'HeartDiseaseorAttack'}>,\n",
       "        <Axes: title={'center': 'PhysActivity'}>,\n",
       "        <Axes: title={'center': 'Fruits'}>],\n",
       "       [<Axes: title={'center': 'Veggies'}>,\n",
       "        <Axes: title={'center': 'HvyAlcoholConsump'}>,\n",
       "        <Axes: title={'center': 'AnyHealthcare'}>,\n",
       "        <Axes: title={'center': 'NoDocbcCost'}>,\n",
       "        <Axes: title={'center': 'GenHlth'}>],\n",
       "       [<Axes: title={'center': 'MentHlth'}>,\n",
       "        <Axes: title={'center': 'PhysHlth'}>,\n",
       "        <Axes: title={'center': 'DiffWalk'}>,\n",
       "        <Axes: title={'center': 'Sex'}>, <Axes: title={'center': 'Age'}>],\n",
       "       [<Axes: title={'center': 'Education'}>,\n",
       "        <Axes: title={'center': 'Income'}>, <Axes: >, <Axes: >, <Axes: >]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x2000 with 25 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "db.drop_duplicates(inplace = True)\n",
    "db.hist(figsize = (20,20))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Qgt0chU-lve6"
   },
   "source": [
    "Plotting correlation heatmap.\n",
    "Approach from kaggle notebook: https://www.kaggle.com/code/bharat04/diabetes-detailed-eda-with-conclusion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 808
    },
    "id": "JzCmHl83N7hx",
    "outputId": "b9345bf8-3178-48a3-a254-64931c502f0c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Correlation of Features')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "plt.figure(figsize = (20,10))\n",
    "sns.heatmap(db.corr(),annot=True , cmap ='YlOrRd' )\n",
    "plt.title(\"Correlation of Features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 655
    },
    "id": "LjDerUVVPE-G",
    "outputId": "37d3c2e5-ce9d-42d3-c630-bf92d60c6585"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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wklQMtXXHHXdUWueFF17I+PHjs/vuu3/nOjbbbLNssskmefXVV/P9739/of+aNGmy0MeWlZWlUCgs8IX3H/7wh0oTYyff7sqK+c/nm8/3/vvvz7Rp05bq+X7THnvskdmzZ+f888/PBhtskLZt21Ysf/zxx/Pkk08WdZVJMVe2VLVPP/00xxxzTOrVq5dTTjllkevN/1L+m7+nxV21cOedd1a6fc8992T27Nnp1KlTkmTPPfdM3bp18/bbby9yv5lvUb/7ffbZJ4VCIe+9995CH9++ffuFPpetttoqv/3tb7Pqqqvm5ZdfXuRzKPa5DRkyJEkqntvS+C69XpQOHTpkxx13zK9//evceeed6dWrVxo3brzUNQIAUPO40gQAgBVex44dc8MNN+TYY49Nhw4d8otf/CLf+973Ul5enrFjx+amm27KFltskX333TebbbZZfv7zn+faa69NnTp1svfee+edd97J+eefnxYtWiz2C/NiDBgwIHvvvXf23HPP9OrVK+uvv34+/fTTjB8/Pi+//HLuvffehT6uadOm2XnnnXPFFVekefPmadWqVUaNGpVbbrklq666aqV1t9hiiyTJTTfdlCZNmqRBgwZp3br1Qs/u79y5c/bcc8+cddZZmTp1anbaaaeMGzcuF154YbbZZpv07NlzqZ7v13Xo0CGrrbZaRowYkd69e1cs32OPPfKrX/2q4v+XpH379hk2bFhuuOGGdOjQIXXq1KkUHCytN998M3/7298yd+7cfPLJJ3nuuedyyy23ZOrUqbntttvyve99b5GPbdu2bTbaaKOcffbZKRQKWX311fPwww9n5MiRi3zMsGHDUrdu3XTu3DmvvfZazj///Gy11VY55JBDkiStWrXKxRdfnPPOOy//+te/stdee2W11VbLBx98kOeffz6NGzdOv379KnqTJL/+9a+z9957Z6WVVsqWW26ZnXbaKT//+c/Tu3fvvPjii9l5553TuHHjTJ48OX/961/Tvn37/OIXv8gjjzyS66+/Pvvvv3/atGmTQqGQYcOG5bPPPkvnzp2/VR9XXnnlXHXVVfnyyy+z3Xbb5dlnn80ll1ySvffeOz/84Q+/1bYW5rv0enFOOumkdO/ePWVlZTn22GOXuj4AAGomoQkAADXCz372s2y//fb57W9/m1//+teZMmVK6tWrl0033TQ9evTI8ccfX7HuDTfckI022ii33HJLrrvuujRr1ix77bVX/u///m+phxXadddd8/zzz+fSSy/NySefnP/85z9ZY4010q5du4ovyRdlyJAhOemkk3LmmWdm9uzZ2WmnnTJy5Mh069at0nqtW7dO//79c80111TMGXLrrbcuMNl7Mu9s/QcffDAXXXRRbr311lx66aVp3rx5evbsmcsuu2yhQzl9V3Xq1EmnTp3ywAMPVApHOnbsmMaNG2fGjBnZddddl7idk046Ka+99lrOPffcfP755ykUCkVN0F6sc889N8m8OTmaNWuWTTfdNH369MnPf/7zJQ6PVa9evTz88MM56aSTcvTRR6du3boVV9JsuOGGC33MsGHDctFFF+WGG25IWVlZ9t133/Tv3z8rr7xyxTrnnHNO2rVrl2uuuSZDhw7NzJkzs84662S77bbLMcccU7Fejx49Mnr06Fx//fW5+OKLUygUMmHChLRq1SoDBgzIDjvskAEDBuT666/P3Llzs95662WnnXbK9ttvnyTZZJNNsuqqq+Y3v/lN3n///ay88srZbLPNFhgCqxj16tXLI488khNPPDGXXHJJGjZsmJ/97Ge54oorvtV2Frf9b9vrxdl///1Tv3797Lrrrtlkk02qpEYAAGqeskJVfvoAAACAaujhhx/Ofvvtl0cffTRdu3YtdTkAAFRTQhMAAABqrNdffz0TJ07MSSedlMaNG+fll19e5ITxAAAgNAEAACBJMnfu3MydO3ex69Stu2KN8typU6eMHj062267bQYPHpy2bduWuiQAAKoxoQkAAABJkl69emXw4MGLXcdHSAAAajKhCQAAAEmSd955Jx9//PFi1/n+97+/nKoBAIDlT2gCAAAAAACQpE6pCwAAAAAAAKgOVqwZ/Iowd+7cvP/++2nSpEnKyspKXQ4AAAAAAFBChUIhX3zxRdZbb73UqbP4a0lqXGjy/vvvp0WLFqUuAwAAAAAAqEbefffdbLDBBotdp8aFJk2aNEky78k3bdq0xNXMU15enhEjRqRLly6pV69eqcuptvSpOPpUHH0qjj4tmR4VR5+Ko0/F0afi6NOS6VFx9Kk4+lQcfSqOPhVHn5ZMj4qjT8XRp+LoU3GqW5+mTp2aFi1aVOQHi1PjQpP5Q3I1bdq0WoUmjRo1StOmTavFDlJd6VNx9Kk4+lQcfVoyPSqOPhVHn4qjT8XRpyXTo+LoU3H0qTj6VBx9Ko4+LZkeFUefiqNPxdGn4lTXPhUzpYeJ4AEAAAAAACI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASCI0AQAAAAAASJLULXUBAAAAQIkNKauiDTVMGg9N7m2WZMbSbapHoUoqAgD4NlxpAgAAAAAAEKEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAEqEJAAAAAABAkqRuqQuo9oaUVcFGGiaNhyb3NksyY+k316Ow9NsAAAAAAAAqcaUJAAAAAABAhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJhCYAAAAAAABJkrqlLgAAAAAAap0hZVWwkYZJ46HJvc2SzFj6zfUoLP02AFZwQhOgeqmSg8akSg8cHTQCAAAAQK1geC4AAAAAAIAsp9Dk+uuvT+vWrdOgQYN06NAhzzzzzCLXHTZsWDp37pw111wzTZs2TceOHfPnP/95eZQJAAAAAADUYss8NLn77rtz8skn57zzzsvYsWPzox/9KHvvvXcmTZq00PWffvrpdO7cOY899lheeuml7Lrrrtl3330zduzYZV0qAAAAAABQiy3z0OTqq69O3759c9RRR2XzzTdP//7906JFi9xwww0LXb9///4588wzs91222WTTTbJZZddlk022SQPP/zwsi4VAAAAAACoxZbpRPCzZs3KSy+9lLPPPrvS8i5duuTZZ58tahtz587NF198kdVXX32h98+cOTMzZ86suD116tQkSXl5ecrLy79j5V/XcKm3UP7VNsqrYFvzNlQVz6v6mf/7qprfW81V8/tUNa+TKn3d1dhe14b9aenpUXH0qTj6VBx9Ko4+LZkeFUefilPz++Q4fHmq+ftT1aj5ffKd0/JS8/elqqFPxdGn4lS3Pn2bOsoKhUJhWRXy/vvvZ/3118/o0aOz4447Viy/7LLLMnjw4LzxxhtL3MYVV1yRyy+/POPHj89aa621wP0XXXRR+vXrt8DyIUOGpFGjRkv3BAAAAAAAgBXa9OnT06NHj3z++edp2rTpYtddpleazFdWVlbpdqFQWGDZwgwdOjQXXXRR/vjHPy40MEmSc845J6eeemrF7alTp6ZFixbp0qXLEp98Ue5tttSbKE/DjGw8MJ2n9Um9zFj6mg7+fOm3UQ2Vl5dn5MiR6dy5c+rVq1fqcqqtGt+nKnjNJVX8uquhr7mkFuxPVUCPiqNPxdGn4uhTcfRpyfSoOPpUnBrfJ8fhy1WN35+qSI3vk++clpsavy9VEX0qjj4Vp7r1af4IVcVYpqFJ8+bNs9JKK2XKlCmVln/44YdZe+21F/vYu+++O3379s29996bPfbYY5Hr1a9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",
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "db.drop('Diabetes_binary', axis=1).corrwith(db.Diabetes_binary).plot(kind='bar', grid=True, figsize=(20, 8)\n",
    ", title=\"Correlation with Diabetes_binary\",color=\"Orange\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "M5Bfu_Frl6Rh"
   },
   "source": [
    "## Feature Selection\n",
    "### Selecting K Best features using Chi Squared analysis\n",
    "Approach from: https://www.kaggle.com/code/abdallahsaadelgendy/diabetes-prediction-eda-preprocessing-models#Data-Splitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 708
    },
    "id": "PiQoQooxlozk",
    "outputId": "ecd5f5af-8efe-40f9-997b-7c57cd949402"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Feature</th>\n",
       "      <th>Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HighBP</td>\n",
       "      <td>8098.548237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HighChol</td>\n",
       "      <td>4869.312739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CholCheck</td>\n",
       "      <td>48.904140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BMI</td>\n",
       "      <td>15507.736174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Smoker</td>\n",
       "      <td>253.826098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Stroke</td>\n",
       "      <td>2156.678382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>HeartDiseaseorAttack</td>\n",
       "      <td>5822.145697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>PhysActivity</td>\n",
       "      <td>617.563886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fruits</td>\n",
       "      <td>54.688897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Veggies</td>\n",
       "      <td>82.098846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>HvyAlcoholConsump</td>\n",
       "      <td>937.401148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>AnyHealthcare</td>\n",
       "      <td>7.949731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>NoDocbcCost</td>\n",
       "      <td>83.662830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>GenHlth</td>\n",
       "      <td>7671.732832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>MentHlth</td>\n",
       "      <td>11419.584750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>PhysHlth</td>\n",
       "      <td>97988.761672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>DiffWalk</td>\n",
       "      <td>7875.496177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sex</td>\n",
       "      <td>137.837135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Age</td>\n",
       "      <td>8539.906340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Education</td>\n",
       "      <td>479.112939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Income</td>\n",
       "      <td>3377.099257</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Feature         Score\n",
       "0                 HighBP   8098.548237\n",
       "1               HighChol   4869.312739\n",
       "2              CholCheck     48.904140\n",
       "3                    BMI  15507.736174\n",
       "4                 Smoker    253.826098\n",
       "5                 Stroke   2156.678382\n",
       "6   HeartDiseaseorAttack   5822.145697\n",
       "7           PhysActivity    617.563886\n",
       "8                 Fruits     54.688897\n",
       "9                Veggies     82.098846\n",
       "10     HvyAlcoholConsump    937.401148\n",
       "11         AnyHealthcare      7.949731\n",
       "12           NoDocbcCost     83.662830\n",
       "13               GenHlth   7671.732832\n",
       "14              MentHlth  11419.584750\n",
       "15              PhysHlth  97988.761672\n",
       "16              DiffWalk   7875.496177\n",
       "17                   Sex    137.837135\n",
       "18                   Age   8539.906340\n",
       "19             Education    479.112939\n",
       "20                Income   3377.099257"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_selection import SelectKBest\n",
    "from sklearn.feature_selection import chi2\n",
    "from sklearn.datasets import make_classification\n",
    "\n",
    "\n",
    "X = db.iloc[:,1:]\n",
    "Y = db.iloc[:,0]\n",
    "\n",
    "\n",
    "#apply SelectKBest class to extract top 10 best features\n",
    "BestFeatures = SelectKBest(score_func=chi2, k=10)\n",
    "fit = BestFeatures.fit(X,Y)\n",
    "\n",
    "df_scores = pd.DataFrame(fit.scores_)\n",
    "df_columns = pd.DataFrame(X.columns)\n",
    "\n",
    "#concatenating two dataframes for better visualization\n",
    "f_Scores = pd.concat([df_columns,df_scores],axis=1)               # feature scores\n",
    "f_Scores.columns = ['Feature','Score']\n",
    "\n",
    "f_Scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ZTdELAIfuUf_",
    "outputId": "c580b9a5-5d36-4cc9-f95f-718ff07345ea"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                 Feature         Score\n",
      "15              PhysHlth  97988.761672\n",
      "3                    BMI  15507.736174\n",
      "14              MentHlth  11419.584750\n",
      "18                   Age   8539.906340\n",
      "0                 HighBP   8098.548237\n",
      "16              DiffWalk   7875.496177\n",
      "13               GenHlth   7671.732832\n",
      "6   HeartDiseaseorAttack   5822.145697\n",
      "1               HighChol   4869.312739\n",
      "20                Income   3377.099257\n",
      "5                 Stroke   2156.678382\n",
      "10     HvyAlcoholConsump    937.401148\n",
      "7           PhysActivity    617.563886\n",
      "19             Education    479.112939\n",
      "4                 Smoker    253.826098\n",
      "17                   Sex    137.837135\n"
     ]
    }
   ],
   "source": [
    "print(f_Scores.nlargest(16,'Score'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## We now split our dataset to create a holdout test set.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "train_fraction = 0.8\n",
    "train_size = round(train_fraction * db.shape[0])\n",
    "train_db = db.iloc[:train_size]\n",
    "test_db = db.iloc[train_size:]\n",
    "\n",
    "features = train_db.iloc[:,1:]\n",
    "labels = train_db.iloc[:,0]\n",
    "X_train , X_val , y_train , y_val = train_test_split(features.values,labels.values, test_size=0.2 , random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Following up on the results of the Feature Selection/Feature Ranking, we create a copy of the dataset with reduced features in order to evaluate if this leads to more accurate models, compared with the full dataset.\n",
    "\n",
    "#### We drop the lowest ranking features, i.e Fruits, Veggies, Sex, CholCheck, and AnyHealthcare."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "gj209oEafgGl"
   },
   "outputs": [],
   "source": [
    "droppable_columns = [\"Fruits\" , \"Veggies\" , \"Sex\" , \"CholCheck\" , \"AnyHealthcare\"]\n",
    "reduced_db = db.drop(columns = droppable_columns)\n",
    "train_reduced_db = reduced_db.iloc[:train_size]\n",
    "test_reduced_db = reduced_db.iloc[train_size:]\n",
    "\n",
    "reduced_features = train_reduced_db.iloc[:,1:]\n",
    "reduced_labels = train_reduced_db.iloc[:,0]\n",
    "X_train_reduced, X_val_reduced, y_train_reduced, y_val_reduced = train_test_split(reduced_features.values, reduced_labels.values, test_size=0.2 , random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting up MLFlow for Model Tracking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mlflow\n",
    "from mlflow import MlflowClient\n",
    "from pprint import pprint\n",
    "\n",
    "\n",
    "client = MlflowClient(tracking_uri=MLFLOW_TRACKING_URI)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[<Experiment: artifact_location='mlflow-artifacts:/0', creation_time=1708147786575, experiment_id='0', last_update_time=1708147786575, lifecycle_stage='active', name='Default', tags={}>]\n"
     ]
    }
   ],
   "source": [
    "all_experiments = client.search_experiments()\n",
    "\n",
    "print(all_experiments)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'lifecycle_stage': 'active', 'name': 'Default'}\n"
     ]
    }
   ],
   "source": [
    "\n",
    "default_experiment = [\n",
    "    {\"name\": experiment.name, \"lifecycle_stage\": experiment.lifecycle_stage}\n",
    "    for experiment in all_experiments\n",
    "    if experiment.name == \"Default\"\n",
    "][0]\n",
    "\n",
    "pprint(default_experiment)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Provide an Experiment description that will appear in the UI\n",
    "experiment_description = \"This is the Diabetes Risk Prediction Project.\"\n",
    "\n",
    "\n",
    "# Provide searchable tags that define characteristics of the Runs that\n",
    "# will be in this Experiment\n",
    "experiment_tags = {\n",
    "    \"project_name\": \"diabetes_risk_predictor\",\n",
    "    \"dataset\": \"diabetes_binary_health_indicators_BRFSS2015.csv\",\n",
    "    \"mlflow.note.content\": experiment_description,\n",
    "}\n",
    "\n",
    "\n",
    "# Create the Experiment, providing a unique name\n",
    "produce_diabetes_experiment = client.create_experiment(\n",
    "    name=\"Diabetes_Risk_Models\", tags=experiment_tags\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use search_experiments() to search on the project_name tag key\n",
    "\n",
    "diabetes_experiment = client.search_experiments(filter_string = \"name = 'Diabetes_Risk_Models'\")\n",
    "\n",
    "experiment_id = diabetes_experiment[0].experiment_id"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A Logistic Regression Model Trained with all the features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUNNING THE L-BFGS-B CODE\n",
      "\n",
      "           * * *\n",
      "\n",
      "Machine precision = 2.220D-16\n",
      " N =           22     M =           10\n",
      "\n",
      "At X0         0 variables are exactly at the bounds\n",
      "\n",
      "At iterate    0    f=  1.01798D+05    |proj g|=  1.39950D+06\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n",
      " This problem is unconstrained.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "At iterate   50    f=  5.24331D+04    |proj g|=  1.40216D+03\n",
      "\n",
      "At iterate  100    f=  5.08080D+04    |proj g|=  4.81559D+03\n",
      "\n",
      "At iterate  150    f=  5.04519D+04    |proj g|=  2.65124D+03\n",
      "\n",
      "At iterate  200    f=  5.03553D+04    |proj g|=  1.35497D+02\n",
      "\n",
      "At iterate  250    f=  5.03477D+04    |proj g|=  4.72615D+02\n",
      "\n",
      "At iterate  300    f=  5.03447D+04    |proj g|=  1.21581D+02\n",
      "\n",
      "At iterate  350    f=  5.03433D+04    |proj g|=  1.33406D+02\n",
      "\n",
      "At iterate  400    f=  5.03432D+04    |proj g|=  1.44634D+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    4.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "           * * *\n",
      "\n",
      "Tit   = total number of iterations\n",
      "Tnf   = total number of function evaluations\n",
      "Tnint = total number of segments explored during Cauchy searches\n",
      "Skip  = number of BFGS updates skipped\n",
      "Nact  = number of active bounds at final generalized Cauchy point\n",
      "Projg = norm of the final projected gradient\n",
      "F     = final function value\n",
      "\n",
      "           * * *\n",
      "\n",
      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
      "   22    424    476      1     0     0   9.238D+00   5.034D+04\n",
      "  F =   50343.134143763426     \n",
      "\n",
      "CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             \n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.86      0.98      0.92     31028\n",
      "         1.0       0.55      0.14      0.23      5688\n",
      "\n",
      "    accuracy                           0.85     36716\n",
      "   macro avg       0.70      0.56      0.57     36716\n",
      "weighted avg       0.81      0.85      0.81     36716\n",
      "\n",
      "Run name is  logistic_all_features_test_1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/sagar/anaconda3/lib/python3.8/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils.\n",
      "  warnings.warn(\"Setuptools is replacing distutils.\")\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "# Sets the current active experiment to the \"Diabetes_Risk_Models\" experiment and\n",
    "# returns the Experiment metadata\n",
    "diabetes_experiment = mlflow.set_experiment(\"Diabetes_Risk_Models\")\n",
    "\n",
    "\n",
    "# Define a run name for this iteration of training.\n",
    "# If this is not set, a unique name will be auto-generated for your run.\n",
    "run_name = \"logistic_all_features_test_1\"\n",
    "# current_run = client.create_run(experiment_id = experiment_id, run_name = run_name)\n",
    "\n",
    "\n",
    "# Define an artifact path that the model will be saved to.\n",
    "artifact_path = 'logistic_1'\n",
    "\n",
    "\n",
    "params = {\n",
    "    \"penalty\": \"l2\",\n",
    "    \"solver\" : \"lbfgs\",\n",
    "    \"max_iter\":1000,\n",
    "    \"verbose\":1\n",
    "}\n",
    "\n",
    "\n",
    "\n",
    "# Train the RandomForestRegressor\n",
    "lr = LogisticRegression(**params)\n",
    "\n",
    "# Fit the model on the training data\n",
    "lr.fit(X_train, y_train)\n",
    "\n",
    "# Predict on the validation set\n",
    "y_pred = lr.predict(X_val)\n",
    "\n",
    "print(classification_report(y_val, y_pred))\n",
    "# Assemble the metrics we're going to write into a collection\n",
    "metrics = classification_report(y_val, y_pred, output_dict = True)\n",
    "\n",
    "\n",
    "# Initiate the MLflow run context\n",
    "with mlflow.start_run(run_name = run_name) as run:\n",
    "    # Log the parameters used for the model fit\n",
    "    mlflow.log_params(params)\n",
    "\n",
    "    # Log the error metrics that were calculated during validation\n",
    "    mlflow.log_metrics(metrics['macro avg'])\n",
    "    mlflow.log_metric('accuracy', metrics['accuracy'])                         \n",
    "    \n",
    "    print(\"Run name is \", run_name)\n",
    "\n",
    "    # Log an instance of the trained model for later use\n",
    "    mlflow.sklearn.log_model(\n",
    "        sk_model=lr, input_example=X_val, artifact_path=artifact_path\n",
    "    )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n",
      " This problem is unconstrained.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUNNING THE L-BFGS-B CODE\n",
      "\n",
      "           * * *\n",
      "\n",
      "Machine precision = 2.220D-16\n",
      " N =           17     M =           10\n",
      "\n",
      "At X0         0 variables are exactly at the bounds\n",
      "\n",
      "At iterate    0    f=  1.01798D+05    |proj g|=  1.39950D+06\n",
      "\n",
      "At iterate   50    f=  5.20644D+04    |proj g|=  3.00584D+03\n",
      "\n",
      "At iterate  100    f=  5.07521D+04    |proj g|=  6.10792D+02\n",
      "\n",
      "At iterate  150    f=  5.06380D+04    |proj g|=  2.35533D+03\n",
      "\n",
      "At iterate  200    f=  5.06156D+04    |proj g|=  2.89946D+02\n",
      "\n",
      "At iterate  250    f=  5.06143D+04    |proj g|=  1.60569D+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    2.6s finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "           * * *\n",
      "\n",
      "Tit   = total number of iterations\n",
      "Tnf   = total number of function evaluations\n",
      "Tnint = total number of segments explored during Cauchy searches\n",
      "Skip  = number of BFGS updates skipped\n",
      "Nact  = number of active bounds at final generalized Cauchy point\n",
      "Projg = norm of the final projected gradient\n",
      "F     = final function value\n",
      "\n",
      "           * * *\n",
      "\n",
      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
      "   17    281    313      1     0     0   9.606D+01   5.061D+04\n",
      "  F =   50614.262132916752     \n",
      "\n",
      "CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             \n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.86      0.98      0.92     31028\n",
      "         1.0       0.54      0.14      0.22      5688\n",
      "\n",
      "    accuracy                           0.85     36716\n",
      "   macro avg       0.70      0.56      0.57     36716\n",
      "weighted avg       0.81      0.85      0.81     36716\n",
      "\n",
      "Run name is  logistic_reduced_features_test_1\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Define a run name for this iteration of training.\n",
    "# If this is not set, a unique name will be auto-generated for your run.\n",
    "run_name = \"logistic_reduced_features_test_1\"\n",
    "# current_run = client.create_run(experiment_id = experiment_id, run_name = run_name)\n",
    "\n",
    "\n",
    "# Define an artifact path that the model will be saved to.\n",
    "artifact_path = 'logistic_reduced'\n",
    "\n",
    "\n",
    "params_reduced = {\n",
    "    \"penalty\": \"l2\",\n",
    "    \"solver\" : \"lbfgs\",\n",
    "    \"max_iter\":1000,\n",
    "    \"verbose\":1\n",
    "}\n",
    "\n",
    "# Train the RandomForestRegressor\n",
    "lr_reduced = LogisticRegression(**params_reduced)\n",
    "\n",
    "# Fit the model on the training data\n",
    "lr_reduced.fit(X_train_reduced, y_train_reduced)\n",
    "\n",
    "# Predict on the validation set\n",
    "y_pred_reduced = lr_reduced.predict(X_val_reduced)\n",
    "\n",
    "print(classification_report(y_val_reduced, y_pred_reduced))\n",
    "# Assemble the metrics we're going to write into a collection\n",
    "metrics_reduced = classification_report(y_val_reduced, y_pred_reduced, output_dict = True)\n",
    "\n",
    "\n",
    "# Initiate the MLflow run context\n",
    "with mlflow.start_run(run_name = run_name) as run:\n",
    "    # Log the parameters used for the model fit\n",
    "    mlflow.log_params(params_reduced)\n",
    "\n",
    "    # Log the error metrics that were calculated during validation\n",
    "    mlflow.log_metrics(metrics_reduced['macro avg'])\n",
    "    mlflow.log_metric('accuracy', metrics_reduced['accuracy'])                         \n",
    "    \n",
    "    print(\"Run name is \", run_name)\n",
    "\n",
    "    # Log an instance of the trained model for later use\n",
    "    mlflow.sklearn.log_model(\n",
    "        sk_model=lr_reduced, input_example=X_val_reduced, artifact_path=artifact_path\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### It's clear that the model performs suboptimally, and especially struggles with detecting the minority class( the risk of diabetes), which is underrepresented in the imbalanced dataset.\n",
    "\n",
    "### Now, we try an XGBoost Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "id": "tEZzb3YGyp_r"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.86      0.97      0.92     31028\n",
      "         1.0       0.54      0.17      0.25      5688\n",
      "\n",
      "    accuracy                           0.85     36716\n",
      "   macro avg       0.70      0.57      0.59     36716\n",
      "weighted avg       0.81      0.85      0.81     36716\n",
      "\n",
      "Run name is  xgboost_all_features_test_1\n"
     ]
    }
   ],
   "source": [
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.preprocessing import StandardScaler,OrdinalEncoder\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "\n",
    "from sklearn.pipeline import Pipeline\n",
    "import xgboost as xgb\n",
    "\n",
    "# Define a run name for this iteration of training.\n",
    "# If this is not set, a unique name will be auto-generated for your run.\n",
    "run_name = \"xgboost_all_features_test_1\"\n",
    "\n",
    "\n",
    "# Define an artifact path that the model will be saved to.\n",
    "artifact_path = 'xgboost_1'\n",
    "\n",
    "\n",
    "\n",
    "xg_params = {\"learning_rate\":0.1, \"max_depth\":9, \"n_estimators\":180, \"verbose\":1}\n",
    "xg_model = xgb.XGBClassifier(**xg_params)\n",
    "xg_model.fit(X_train, y_train)\n",
    "y_pred = xg_model.predict(X_val)\n",
    "print(classification_report(y_val, y_pred))\n",
    "\n",
    "# Assemble the metrics we're going to write into a collection\n",
    "xg_metrics = classification_report(y_val, y_pred, output_dict = True)\n",
    "# pipeline = Pipeline(steps =\n",
    "#  [('model', model)])\n",
    "\n",
    "\n",
    "with mlflow.start_run(run_name = run_name) as run:\n",
    "    # Log the parameters used for the model fit\n",
    "    mlflow.log_params(xg_params)\n",
    "\n",
    "    # Log the error metrics that were calculated during validation\n",
    "\n",
    "    mlflow.log_metrics(xg_metrics['macro avg'])\n",
    "    mlflow.log_metric('accuracy', xg_metrics[\"accuracy\"])\n",
    "    \n",
    "    print(\"Run name is \", run_name)\n",
    "\n",
    "    # Log an instance of the trained model for later use\n",
    "    mlflow.xgboost.log_model(xgb_model = xg_model, artifact_path=artifact_path)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.86      0.98      0.92     31028\n",
      "         1.0       0.55      0.16      0.25      5688\n",
      "\n",
      "    accuracy                           0.85     36716\n",
      "   macro avg       0.71      0.57      0.58     36716\n",
      "weighted avg       0.82      0.85      0.81     36716\n",
      "\n",
      "Run name is  xgboost_reduced_features_test_1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024/02/17 11:02:19 WARNING mlflow.utils.environment: Encountered an unexpected error while inferring pip requirements (model URI: /var/folders/9l/4_6f0kzj54dg_yn6cg1lkzrr0000gn/T/tmpq7uva6__/model, flavor: xgboost), fall back to return ['xgboost==0.80']. Set logging level to DEBUG to see the full traceback.\n"
     ]
    }
   ],
   "source": [
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.preprocessing import StandardScaler,OrdinalEncoder\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "\n",
    "from sklearn.pipeline import Pipeline\n",
    "import xgboost as xgb\n",
    "\n",
    "# Define a run name for this iteration of training.\n",
    "# If this is not set, a unique name will be auto-generated for your run.\n",
    "run_name = \"xgboost_reduced_features_test_1\"\n",
    "\n",
    "\n",
    "# Define an artifact path that the model will be saved to.\n",
    "artifact_path = 'xgboost_reduced'\n",
    "\n",
    "\n",
    "\n",
    "xg_params_reduced = {\"learning_rate\":0.1, \"max_depth\":9, \"n_estimators\":180, \"verbose\":1}\n",
    "xg_model_reduced = xgb.XGBClassifier(**xg_params_reduced)\n",
    "xg_model_reduced.fit(X_train_reduced, y_train_reduced)\n",
    "y_pred_reduced = xg_model_reduced.predict(X_val_reduced)\n",
    "print(classification_report(y_val_reduced, y_pred_reduced))\n",
    "\n",
    "# Assemble the metrics we're going to write into a collection\n",
    "xg_metrics_reduced = classification_report(y_val_reduced, y_pred_reduced, output_dict = True)\n",
    "# pipeline = Pipeline(steps =\n",
    "#  [('model', model)])\n",
    "\n",
    "\n",
    "with mlflow.start_run(run_name = run_name) as run:\n",
    "    # Log the parameters used for the model fit\n",
    "    mlflow.log_params(xg_params_reduced)\n",
    "\n",
    "    # Log the error metrics that were calculated during validation\n",
    "\n",
    "    mlflow.log_metrics(xg_metrics_reduced['macro avg'])\n",
    "    mlflow.log_metric('accuracy', xg_metrics_reduced[\"accuracy\"])\n",
    "    \n",
    "    print(\"Run name is \", run_name)\n",
    "\n",
    "    # Log an instance of the trained model for later use\n",
    "    mlflow.xgboost.log_model(xgb_model = xg_model_reduced, input_example = X_val_reduced, artifact_path=artifact_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.86      0.98      0.92     31028\n",
      "         1.0       0.55      0.16      0.25      5688\n",
      "\n",
      "    accuracy                           0.85     36716\n",
      "   macro avg       0.71      0.57      0.58     36716\n",
      "weighted avg       0.82      0.85      0.81     36716\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_val_reduced, y_pred_reduced))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Two observations at this stage: \n",
    "### 1. The reduced featureset gives us slightly better results.\n",
    "### 2. The imbalance in the data makes the model bad at predicting the minority class, i.e. positive for diabetes risk.\n",
    "\n",
    "### Now let's try balancing the dataset using SMOTENN = SMOTE + ENN techniques.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install imblearn\n",
    "# !pip install --upgrade pip"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pJtKDbvXBRnP"
   },
   "source": [
    "# Balancing the Imbalanced Dataset\n",
    "\n",
    "### We use SMOTEENN to balance the dataset.\n",
    "Imbalanced Dataset balanced using SMOTEENN methods. Source:\n",
    "https://www.kaggle.com/code/jorgemetri/94-accuracy-with-smoteenn-resampling\n",
    "\n",
    "SMOTEENN is an under/oversampling method that introduce new observations in the minority class and delete redundant observations in the majority class; it uses the k-nearest neighbors to interpolate the new data points\n",
    "\n",
    "We do this with the reduced feature dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "muBc0Vi0eJP_",
    "outputId": "c46d2b74-5dfb-448e-8413-0ae2c4b32d1a"
   },
   "outputs": [],
   "source": [
    "# import imblearn\n",
    "# from imblearn.combine import SMOTEENN\n",
    "# resampler = SMOTEENN(sampling_strategy = 'all',random_state = 123)\n",
    "# resampler.fit(reduced_features,reduced_labels)\n",
    "\n",
    "# Xr, yr = resampler.fit_resample(reduced_features,reduced_labels)\n",
    "# features_df = pd.DataFrame(Xr)\n",
    "# labels_df = pd.DataFrame(yr)\n",
    "# df_balanced = pd.concat([features_df, labels_df], axis = 1)\n",
    "# df_balanced.to_csv('data/reduced_features_balanced_db.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "balanced_db = pd.read_csv('data/reduced_features_balanced_db.csv')\n",
    "balanced_db = balanced_db.drop(columns = ['Unnamed: 0'])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   HighBP  HighChol   BMI  Smoker  Stroke  HeartDiseaseorAttack  PhysActivity   \n",
      "0     1.0       1.0  25.0     1.0     0.0                   0.0           1.0  \\\n",
      "1     0.0       0.0  24.0     0.0     0.0                   0.0           0.0   \n",
      "2     0.0       0.0  26.0     1.0     0.0                   0.0           0.0   \n",
      "\n",
      "   HvyAlcoholConsump  NoDocbcCost  GenHlth  MentHlth  PhysHlth  DiffWalk   \n",
      "0                0.0          0.0      2.0       0.0       2.0       0.0  \\\n",
      "1                0.0          0.0      2.0       0.0       0.0       0.0   \n",
      "2                0.0          0.0      3.0       0.0      15.0       0.0   \n",
      "\n",
      "    Age  Education  Income  Diabetes_binary  \n",
      "0  10.0        6.0     8.0              0.0  \n",
      "1   8.0        4.0     3.0              0.0  \n",
      "2   7.0        5.0     7.0              0.0  \n"
     ]
    }
   ],
   "source": [
    "print(balanced_db.head(3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "balanced_db = balanced_db.sample(frac = 1)\n",
    "balanced_db\n",
    "Xr = balanced_db.iloc[:,:-1]\n",
    "yr = balanced_db.iloc[:,-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vBXjHtGjCp_9"
   },
   "source": [
    "## Compare the distribution of classes before and after Resampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "ayjapedvbbhW",
    "outputId": "02b79916-4d3a-4ec4-e4ee-b17cd5f34adb"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 3000x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2, figsize =(10,5), sharey = True, dpi = 300)\n",
    "ax[0].hist(labels)\n",
    "ax[1].hist(yr)\n",
    "ax[0].set_ylabel('Frequency')\n",
    "ax[0].set_xlabel('Class')\n",
    "ax[1].set_xlabel('Class')\n",
    "ax[0].set_title('Distribution of original classes')\n",
    "ax[1].set_title('Distribution of resampled classes')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2PdvtCwaC1V2"
   },
   "source": [
    "# Check Model Performance on Resampled Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "id": "AYsWQF5qb9VK"
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train_bg , X_val_bg, y_train_bg , y_val_bg = train_test_split(Xr,yr, test_size=0.2 , random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "VMKZgbqBcCu_",
    "outputId": "c6532d90-668c-4bf2-a200-f79a79b986d4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.95      0.93     18101\n",
      "         1.0       0.96      0.94      0.95     27699\n",
      "\n",
      "    accuracy                           0.95     45800\n",
      "   macro avg       0.94      0.95      0.94     45800\n",
      "weighted avg       0.95      0.95      0.95     45800\n",
      "\n",
      "Run name is  xgboost_reduced_features_balanced_test_1\n"
     ]
    }
   ],
   "source": [
    "run_name = \"xgboost_reduced_features_balanced_test_1\"\n",
    "\n",
    "\n",
    "# Define an artifact path that the model will be saved to.\n",
    "artifact_path = 'xgboost_reduced_features_balanced_test'\n",
    "\n",
    "# Assemble the metrics we're going to write into a collection\n",
    "\n",
    "# pipeline = Pipeline(steps =\n",
    "#  [('model', model)])\n",
    "xg_params_2 = {\"learning_rate\":0.1, \"max_depth\":9, \"n_estimators\":180, \"verbose\":1}\n",
    "xg_model_2 = xgb.XGBClassifier(**xg_params_2)\n",
    "xg_model_2.fit(X_train_bg, y_train_bg)\n",
    "y_pred_bg = xg_model_2.predict(X_val_bg)\n",
    "print(classification_report(y_val_bg, y_pred_bg))\n",
    "xg_metrics_2 = classification_report(y_val_bg, y_pred_bg, output_dict = True)\n",
    "\n",
    "\n",
    "with mlflow.start_run(run_name = run_name) as run:\n",
    "    # Log the parameters used for the model fit\n",
    "    mlflow.log_params(xg_params_2)\n",
    "\n",
    "    # Log the error metrics that were calculated during validation\n",
    "    mlflow.log_metrics(xg_metrics_2['macro avg'])\n",
    "    mlflow.log_metric('accuracy', xg_metrics_2[\"accuracy\"])\n",
    "    \n",
    "    print(\"Run name is \", run_name)\n",
    "\n",
    "    # Log an instance of the trained model for later use\n",
    "    mlflow.xgboost.log_model(xgb_model = xg_model_2, artifact_path=artifact_path)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5PX1CV05C7gm"
   },
   "source": [
    "# HyperParameter Fine-Tuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "D3j463oir-Ff"
   },
   "outputs": [],
   "source": [
    "parameters = {\n",
    "    'max_depth': range (2, 10, 1),\n",
    "    'n_estimators': range(60, 220, 40),\n",
    "    'learning_rate': [0.1, 0.01, 0.05]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 455
    },
    "id": "Qm5bMX0jnGTp",
    "outputId": "7dd29c1d-ba48-49d4-8438-001f592ed48d"
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "gs = GridSearchCV(xg_model, parameters, cv=10, n_jobs =10, scoring='roc_auc' )\n",
    "gs.fit(X_train, y_train)\n",
    "\n",
    "print(\"Best Score of train set: \"+str(gs.best_score_))\n",
    "print(\"Best parameter set: \"+str(gs.best_params_))\n",
    "print(\"Test Score: \"+str(gs.score(X_test,y_test)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vdImL5FhDDNO"
   },
   "source": [
    "# Obtain Classification Report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 175
    },
    "id": "I7MdFkVFePQC",
    "outputId": "b7797c9a-7ff3-4b93-ffa4-fc838e03bba5"
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "y_pred = xg_model_2.predict(X_test)\n",
    "report2 = classification_report(y_test, y_pred, output_dict = True)\n",
    "report2 = pd.DataFrame(report2)\n",
    "report2.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nRaTzerADHU3"
   },
   "source": [
    "## Train Model on Entire Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 248
    },
    "id": "D1_oEKHyr3z7",
    "outputId": "d6c4af0b-146a-4c2b-e0d7-2d209d1e4dd3"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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      ],
      "text/plain": [
       "XGBClassifier(max_depth=9, n_estimators=180, verbose=1)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xg_model_2.fit(np.array(Xr), np.array(yr))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test Model on Hold Out Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.79      0.85     38584\n",
      "         1.0       0.37      0.64      0.47      7311\n",
      "\n",
      "    accuracy                           0.77     45895\n",
      "   macro avg       0.65      0.72      0.66     45895\n",
      "weighted avg       0.83      0.77      0.79     45895\n",
      "\n",
      "Run name is  TEST_SET_EVAL: xgboost_reduced_balanced_model\n"
     ]
    }
   ],
   "source": [
    "X_test = np.array(test_reduced_db.iloc[:,1:])\n",
    "y_test = np.array(test_reduced_db.iloc[:,0])\n",
    "\n",
    "run_name = \"TEST_SET_EVAL: xgboost_reduced_balanced_model\"\n",
    "\n",
    "\n",
    "# Define an artifact path that the model will be saved to.\n",
    "artifact_path = 'TEST_SET_EVAL: xgboost_reduced_balanced_model'\n",
    "\n",
    "# Assemble the metrics we're going to write into a collection\n",
    "\n",
    "# pipeline = Pipeline(steps =\n",
    "#  [('model', model)])\n",
    "y_pred = xg_model_2.predict(X_test)\n",
    "print(classification_report(y_test, y_pred))\n",
    "xg_metrics_2 = classification_report(y_test, y_pred, output_dict = True)\n",
    "\n",
    "\n",
    "with mlflow.start_run(run_name = run_name) as run:\n",
    "    # Log the parameters used for the model fit\n",
    "    mlflow.log_params(xg_params_2)\n",
    "\n",
    "    # Log the error metrics that were calculated during validation\n",
    "    mlflow.log_metrics(xg_metrics_2['macro avg'])\n",
    "    mlflow.log_metric('accuracy', xg_metrics_2[\"accuracy\"])\n",
    "    \n",
    "    print(\"Run name is \", run_name)\n",
    "\n",
    "    # Log an instance of the trained model for later use\n",
    "    mlflow.xgboost.log_model(xgb_model = xg_model_2, artifact_path=artifact_path)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Results on Holdout Set:\n",
    "\n",
    "#### It appears that though the model trained on the SMOTEEN rebalanced dataset performs well on unseen data from the SMOTEEN rebalanced dataset, its performance on the minority class is actually worse on unseen data from the original dataset. This suggests that the recent academic criticisms of SMOTE rebalancing are valid, and that this method might be introducing noise while oversampling the minority class that the models might be overfitting to."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Q05JCWz6DMRy"
   },
   "source": [
    "# Evaluate Model Performance on 50-50 split dataset\n",
    "available at: https://www.kaggle.com/datasets/alexteboul/diabetes-health-indicators-dataset/data?select=diabetes_binary_5050split_health_indicators_BRFSS2015.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 175
    },
    "id": "asZLl46serJ2",
    "outputId": "7762b7ca-1908-441b-e89b-41ac261e374c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.72      0.83      0.77     35346\n",
      "         1.0       0.80      0.67      0.73     35346\n",
      "\n",
      "    accuracy                           0.75     70692\n",
      "   macro avg       0.76      0.75      0.75     70692\n",
      "weighted avg       0.76      0.75      0.75     70692\n",
      "\n",
      "Run name is  xgboost_reduced_features_balanced_test_50-50_dataset\n"
     ]
    }
   ],
   "source": [
    "run_name = \"xgboost_reduced_features_balanced_test_50-50_dataset\"\n",
    "\n",
    "\n",
    "# Define an artifact path that the model will be saved to.\n",
    "artifact_path = 'xgboost_reduced_features_balanced_test_50-50_dataset'\n",
    "\n",
    "# Assemble the metrics we're going to write into a collection\n",
    "\n",
    "# pipeline = Pipeline(steps =\n",
    "#  [('model', model)])\n",
    "\n",
    "\n",
    "split_db = pd.read_csv('data/diabetes_binary_5050split_health_indicators_BRFSS2015.csv')\n",
    "droppable_columns = [\"Fruits\" , \"Veggies\" , \"Sex\" , \"CholCheck\" , \"AnyHealthcare\"]\n",
    "split_db.drop(columns = droppable_columns, inplace = True)\n",
    "\n",
    "X_test_2 = np.array(split_db.iloc[:, 1:])\n",
    "y_test_2 = np.array(split_db.iloc[:, 0])\n",
    "y_pred_2 = xg_model_2.predict(X_test_2)\n",
    "\n",
    "report_5050 = classification_report(y_test_2, y_pred_2)\n",
    "print(report_5050)\n",
    "xg_metrics_5050 = classification_report(y_test_2, y_pred_2, output_dict = True)\n",
    "\n",
    "\n",
    "with mlflow.start_run(run_name = run_name) as run:\n",
    "    # Log the parameters used for the model fit\n",
    "    mlflow.log_params(xg_params_2)\n",
    "\n",
    "    # Log the error metrics that were calculated during validation\n",
    "    mlflow.log_metrics(xg_metrics_5050['macro avg'])\n",
    "    mlflow.log_metric('accuracy', xg_metrics_5050[\"accuracy\"])\n",
    "    \n",
    "    print(\"Run name is \", run_name)\n",
    "\n",
    "    # Log an instance of the trained model for later use\n",
    "    mlflow.xgboost.log_model(xgb_model = xg_model_2, artifact_path=artifact_path)\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's see how the model trained on the SMOTEENN balanced dataset with all the features performs on the 50-50 dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.73      0.81      0.77     35346\n",
      "         1.0       0.79      0.71      0.75     35346\n",
      "\n",
      "    accuracy                           0.76     70692\n",
      "   macro avg       0.76      0.76      0.76     70692\n",
      "weighted avg       0.76      0.76      0.76     70692\n",
      "\n",
      "Run name is  xgboost_all_features_balanced_test_50-50_dataset\n"
     ]
    }
   ],
   "source": [
    "balanced_full_db = pd.read_csv('data/all_features_balanced_db.csv')\n",
    "balanced_full_db = balanced_full_db.drop(columns = ['Unnamed: 0'])\n",
    "balanced_full_db = balanced_full_db.sample(frac = 1)\n",
    "\n",
    "Xf = balanced_full_db.iloc[:,:-1]\n",
    "yf = balanced_full_db.iloc[:,-1]\n",
    "\n",
    "run_name = \"xgboost_all_features_balanced_test_50-50_dataset\"\n",
    "xg_model_2.fit(np.array(Xf), np.array(yf))\n",
    "\n",
    "\n",
    "# Define an artifact path that the model will be saved to.\n",
    "artifact_path = 'xgboost_all_features_balanced_test_50-50_dataset'\n",
    "\n",
    "# Assemble the metrics we're going to write into a collection\n",
    "\n",
    "# pipeline = Pipeline(steps =\n",
    "#  [('model', model)])\n",
    "\n",
    "\n",
    "split_db = pd.read_csv('data/diabetes_binary_5050split_health_indicators_BRFSS2015.csv')\n",
    "# droppable_columns = [\"Fruits\" , \"Veggies\" , \"Sex\" , \"CholCheck\" , \"AnyHealthcare\"]\n",
    "# split_db.drop(columns = droppable_columns, inplace = True)\n",
    "\n",
    "X_test_2 = np.array(split_db.iloc[:, 1:])\n",
    "y_test_2 = np.array(split_db.iloc[:, 0])\n",
    "y_pred_2 = xg_model_2.predict(X_test_2)\n",
    "\n",
    "report_5050 = classification_report(y_test_2, y_pred_2)\n",
    "print(report_5050)\n",
    "xg_metrics_5050 = classification_report(y_test_2, y_pred_2, output_dict = True)\n",
    "\n",
    "\n",
    "with mlflow.start_run(run_name = run_name) as run:\n",
    "    # Log the parameters used for the model fit\n",
    "    mlflow.log_params(xg_params_2)\n",
    "\n",
    "    # Log the error metrics that were calculated during validation\n",
    "    mlflow.log_metrics(xg_metrics_5050['macro avg'])\n",
    "    mlflow.log_metric('accuracy', xg_metrics_5050[\"accuracy\"])\n",
    "    \n",
    "    print(\"Run name is \", run_name)\n",
    "\n",
    "    # Log an instance of the trained model for later use\n",
    "    mlflow.xgboost.log_model(xgb_model = xg_model_2, artifact_path=artifact_path)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's see how a model trained on the unbalanced data performs on this data.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.57      0.99      0.72     35346\n",
      "         1.0       0.96      0.26      0.41     35346\n",
      "\n",
      "    accuracy                           0.62     70692\n",
      "   macro avg       0.76      0.62      0.57     70692\n",
      "weighted avg       0.76      0.62      0.57     70692\n",
      "\n",
      "Run name is  xgboost_all_features_unbalanced_test_50-50_dataset\n"
     ]
    }
   ],
   "source": [
    "\n",
    "run_name = \"xgboost_all_features_unbalanced_test_50-50_dataset\"\n",
    "xg_model_2.fit(np.array(X), np.array(Y))\n",
    "\n",
    "\n",
    "# Define an artifact path that the model will be saved to.\n",
    "artifact_path = 'xgboost_all_features_unbalanced_test_50-50_dataset'\n",
    "\n",
    "# Assemble the metrics we're going to write into a collection\n",
    "\n",
    "# pipeline = Pipeline(steps =\n",
    "#  [('model', model)])\n",
    "\n",
    "\n",
    "split_db = pd.read_csv('data/diabetes_binary_5050split_health_indicators_BRFSS2015.csv')\n",
    "# droppable_columns = [\"Fruits\" , \"Veggies\" , \"Sex\" , \"CholCheck\" , \"AnyHealthcare\"]\n",
    "# split_db.drop(columns = droppable_columns, inplace = True)\n",
    "\n",
    "X_test_2 = np.array(split_db.iloc[:, 1:])\n",
    "y_test_2 = np.array(split_db.iloc[:, 0])\n",
    "y_pred_2 = xg_model_2.predict(X_test_2)\n",
    "\n",
    "report_5050 = classification_report(y_test_2, y_pred_2)\n",
    "print(report_5050)\n",
    "xg_metrics_5050 = classification_report(y_test_2, y_pred_2, output_dict = True)\n",
    "\n",
    "\n",
    "with mlflow.start_run(run_name = run_name) as run:\n",
    "    # Log the parameters used for the model fit\n",
    "    mlflow.log_params(xg_params_2)\n",
    "\n",
    "    # Log the error metrics that were calculated during validation\n",
    "    mlflow.log_metrics(xg_metrics_5050['macro avg'])\n",
    "    mlflow.log_metric('accuracy', xg_metrics_5050[\"accuracy\"])\n",
    "    \n",
    "    print(\"Run name is \", run_name)\n",
    "\n",
    "    # Log an instance of the trained model for later use\n",
    "    mlflow.xgboost.log_model(xgb_model = xg_model_2, artifact_path=artifact_path)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Clearly balancing the data helped, though it does seem like dropping the 5 features led to a slight loss of accuracy on the new dataset. Will investigate this further, for now, let's go with the model trained on the reduced dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "xg_model_2.fit(np.array(Xr), np.array(yr))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "x6JHxOZ8DZ9T"
   },
   "source": [
    "# Save Model by Pickling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "GlO9bBbehN9v"
   },
   "outputs": [],
   "source": [
    "# Use pickle to save model for next usage.\n",
    "import pickle\n",
    "filename = 'diabetes_model_v3.pk'\n",
    "with open('./'+filename, 'wb') as file:\n",
    "    pickle.dump(xg_model_2, file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "z90sFpQ8DiXv"
   },
   "source": [
    "# Load Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "0cYoXRaDnIbx"
   },
   "outputs": [],
   "source": [
    "with open('./'+filename ,'rb') as f:\n",
    "    loaded_model = pickle.load(f)\n",
    "loaded_model.predict(X_test_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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