SageMaker XG-Boost Regression.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "M27qF7CTrBqc"
   },
   "source": [
    "# SageMaker XG-Boost Regression: Life Expectancy Prediction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Trains an XG-Boost model to predict life expectancy using SageMaker. This data was initially obtained from World Health Organization (WHO) and United Nations Website. Data contains features like year, status, life expectancy, adult mortality, infant deaths, percentage of expenditure, alcohol etc.\n",
    "\n",
    "- Tasks:\n",
    "    - Split the data into training, vaidation and testing and upload to S3\n",
    "    - Train a regression model using built-in SageMaker XG-boost algorithm \n",
    "    - Assess trained model performance\n",
    "    - Plot trained model predictions vs. ground truth output\n",
    "    - Determine the R2 score\n",
    "\n",
    "- Inputs (Features):\n",
    "    - YEAR\n",
    "    - ADULT MORTALITY\n",
    "    - STATUS\n",
    "    - INFANT DEATHS\n",
    "    - ALCOHOL\n",
    "    - HEPATITIS B\n",
    "\n",
    "- Outputs:\n",
    "    - Life Expectancy (Years)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error\n",
    "from math import sqrt\n",
    "import sagemaker\n",
    "import boto3\n",
    "from sagemaker import Session\n",
    "import os\n",
    "from sagemaker.predictor import csv_serializer, json_deserializer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 1. Perform Exploratory Data Analysis (EDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Read the CSV file \n",
    "life_expectancy_df = pd.read_csv(\"data/Life_Expectancy_Data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Status</th>\n",
       "      <th>Life expectancy</th>\n",
       "      <th>Adult Mortality</th>\n",
       "      <th>infant deaths</th>\n",
       "      <th>Alcohol</th>\n",
       "      <th>percentage expenditure</th>\n",
       "      <th>Hepatitis B</th>\n",
       "      <th>Measles</th>\n",
       "      <th>BMI</th>\n",
       "      <th>...</th>\n",
       "      <th>Polio</th>\n",
       "      <th>Total expenditure</th>\n",
       "      <th>Diphtheria</th>\n",
       "      <th>HIV/AIDS</th>\n",
       "      <th>GDP</th>\n",
       "      <th>Population</th>\n",
       "      <th>thinness  1-19 years</th>\n",
       "      <th>thinness 5-9 years</th>\n",
       "      <th>Income composition of resources</th>\n",
       "      <th>Schooling</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015</td>\n",
       "      <td>Developing</td>\n",
       "      <td>65.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>62</td>\n",
       "      <td>0.01</td>\n",
       "      <td>71.279624</td>\n",
       "      <td>65.0</td>\n",
       "      <td>1154</td>\n",
       "      <td>19.1</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.16</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>584.259210</td>\n",
       "      <td>33736494.0</td>\n",
       "      <td>17.2</td>\n",
       "      <td>17.3</td>\n",
       "      <td>0.479</td>\n",
       "      <td>10.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014</td>\n",
       "      <td>Developing</td>\n",
       "      <td>59.9</td>\n",
       "      <td>271.0</td>\n",
       "      <td>64</td>\n",
       "      <td>0.01</td>\n",
       "      <td>73.523582</td>\n",
       "      <td>62.0</td>\n",
       "      <td>492</td>\n",
       "      <td>18.6</td>\n",
       "      <td>...</td>\n",
       "      <td>58.0</td>\n",
       "      <td>8.18</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>612.696514</td>\n",
       "      <td>327582.0</td>\n",
       "      <td>17.5</td>\n",
       "      <td>17.5</td>\n",
       "      <td>0.476</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013</td>\n",
       "      <td>Developing</td>\n",
       "      <td>59.9</td>\n",
       "      <td>268.0</td>\n",
       "      <td>66</td>\n",
       "      <td>0.01</td>\n",
       "      <td>73.219243</td>\n",
       "      <td>64.0</td>\n",
       "      <td>430</td>\n",
       "      <td>18.1</td>\n",
       "      <td>...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>8.13</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>631.744976</td>\n",
       "      <td>31731688.0</td>\n",
       "      <td>17.7</td>\n",
       "      <td>17.7</td>\n",
       "      <td>0.470</td>\n",
       "      <td>9.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012</td>\n",
       "      <td>Developing</td>\n",
       "      <td>59.5</td>\n",
       "      <td>272.0</td>\n",
       "      <td>69</td>\n",
       "      <td>0.01</td>\n",
       "      <td>78.184215</td>\n",
       "      <td>67.0</td>\n",
       "      <td>2787</td>\n",
       "      <td>17.6</td>\n",
       "      <td>...</td>\n",
       "      <td>67.0</td>\n",
       "      <td>8.52</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>669.959000</td>\n",
       "      <td>3696958.0</td>\n",
       "      <td>17.9</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.463</td>\n",
       "      <td>9.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2011</td>\n",
       "      <td>Developing</td>\n",
       "      <td>59.2</td>\n",
       "      <td>275.0</td>\n",
       "      <td>71</td>\n",
       "      <td>0.01</td>\n",
       "      <td>7.097109</td>\n",
       "      <td>68.0</td>\n",
       "      <td>3013</td>\n",
       "      <td>17.2</td>\n",
       "      <td>...</td>\n",
       "      <td>68.0</td>\n",
       "      <td>7.87</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>63.537231</td>\n",
       "      <td>2978599.0</td>\n",
       "      <td>18.2</td>\n",
       "      <td>18.2</td>\n",
       "      <td>0.454</td>\n",
       "      <td>9.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2010</td>\n",
       "      <td>Developing</td>\n",
       "      <td>58.8</td>\n",
       "      <td>279.0</td>\n",
       "      <td>74</td>\n",
       "      <td>0.01</td>\n",
       "      <td>79.679367</td>\n",
       "      <td>66.0</td>\n",
       "      <td>1989</td>\n",
       "      <td>16.7</td>\n",
       "      <td>...</td>\n",
       "      <td>66.0</td>\n",
       "      <td>9.20</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>553.328940</td>\n",
       "      <td>2883167.0</td>\n",
       "      <td>18.4</td>\n",
       "      <td>18.4</td>\n",
       "      <td>0.448</td>\n",
       "      <td>9.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year      Status  Life expectancy   Adult Mortality  infant deaths  \\\n",
       "0  2015  Developing              65.0            263.0             62   \n",
       "1  2014  Developing              59.9            271.0             64   \n",
       "2  2013  Developing              59.9            268.0             66   \n",
       "3  2012  Developing              59.5            272.0             69   \n",
       "4  2011  Developing              59.2            275.0             71   \n",
       "5  2010  Developing              58.8            279.0             74   \n",
       "\n",
       "   Alcohol  percentage expenditure  Hepatitis B  Measles    BMI   ...  Polio  \\\n",
       "0     0.01               71.279624         65.0      1154   19.1  ...    6.0   \n",
       "1     0.01               73.523582         62.0       492   18.6  ...   58.0   \n",
       "2     0.01               73.219243         64.0       430   18.1  ...   62.0   \n",
       "3     0.01               78.184215         67.0      2787   17.6  ...   67.0   \n",
       "4     0.01                7.097109         68.0      3013   17.2  ...   68.0   \n",
       "5     0.01               79.679367         66.0      1989   16.7  ...   66.0   \n",
       "\n",
       "   Total expenditure  Diphtheria    HIV/AIDS         GDP  Population  \\\n",
       "0               8.16         65.0        0.1  584.259210  33736494.0   \n",
       "1               8.18         62.0        0.1  612.696514    327582.0   \n",
       "2               8.13         64.0        0.1  631.744976  31731688.0   \n",
       "3               8.52         67.0        0.1  669.959000   3696958.0   \n",
       "4               7.87         68.0        0.1   63.537231   2978599.0   \n",
       "5               9.20         66.0        0.1  553.328940   2883167.0   \n",
       "\n",
       "    thinness  1-19 years   thinness 5-9 years  \\\n",
       "0                   17.2                 17.3   \n",
       "1                   17.5                 17.5   \n",
       "2                   17.7                 17.7   \n",
       "3                   17.9                 18.0   \n",
       "4                   18.2                 18.2   \n",
       "5                   18.4                 18.4   \n",
       "\n",
       "   Income composition of resources  Schooling  \n",
       "0                            0.479       10.1  \n",
       "1                            0.476       10.0  \n",
       "2                            0.470        9.9  \n",
       "3                            0.463        9.8  \n",
       "4                            0.454        9.5  \n",
       "5                            0.448        9.2  \n",
       "\n",
       "[6 rows x 21 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the top 6 instances\n",
    "life_expectancy_df.head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2938 entries, 0 to 2937\n",
      "Data columns (total 21 columns):\n",
      " #   Column                           Non-Null Count  Dtype  \n",
      "---  ------                           --------------  -----  \n",
      " 0   Year                             2938 non-null   int64  \n",
      " 1   Status                           2938 non-null   object \n",
      " 2   Life expectancy                  2928 non-null   float64\n",
      " 3   Adult Mortality                  2928 non-null   float64\n",
      " 4   infant deaths                    2938 non-null   int64  \n",
      " 5   Alcohol                          2744 non-null   float64\n",
      " 6   percentage expenditure           2938 non-null   float64\n",
      " 7   Hepatitis B                      2385 non-null   float64\n",
      " 8   Measles                          2938 non-null   int64  \n",
      " 9    BMI                             2904 non-null   float64\n",
      " 10  under-five deaths                2938 non-null   int64  \n",
      " 11  Polio                            2919 non-null   float64\n",
      " 12  Total expenditure                2712 non-null   float64\n",
      " 13  Diphtheria                       2919 non-null   float64\n",
      " 14   HIV/AIDS                        2938 non-null   float64\n",
      " 15  GDP                              2490 non-null   float64\n",
      " 16  Population                       2286 non-null   float64\n",
      " 17   thinness  1-19 years            2904 non-null   float64\n",
      " 18   thinness 5-9 years              2904 non-null   float64\n",
      " 19  Income composition of resources  2771 non-null   float64\n",
      " 20  Schooling                        2775 non-null   float64\n",
      "dtypes: float64(16), int64(4), object(1)\n",
      "memory usage: 482.1+ KB\n"
     ]
    }
   ],
   "source": [
    "life_expectancy_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Life expectancy</th>\n",
       "      <th>Adult Mortality</th>\n",
       "      <th>infant deaths</th>\n",
       "      <th>Alcohol</th>\n",
       "      <th>percentage expenditure</th>\n",
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       "      <th>BMI</th>\n",
       "      <th>under-five deaths</th>\n",
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       "      <th>Total expenditure</th>\n",
       "      <th>Diphtheria</th>\n",
       "      <th>HIV/AIDS</th>\n",
       "      <th>GDP</th>\n",
       "      <th>Population</th>\n",
       "      <th>thinness  1-19 years</th>\n",
       "      <th>thinness 5-9 years</th>\n",
       "      <th>Income composition of resources</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>count</th>\n",
       "      <td>2938.000000</td>\n",
       "      <td>2928.000000</td>\n",
       "      <td>2928.000000</td>\n",
       "      <td>2938.000000</td>\n",
       "      <td>2744.000000</td>\n",
       "      <td>2938.000000</td>\n",
       "      <td>2385.000000</td>\n",
       "      <td>2938.000000</td>\n",
       "      <td>2904.000000</td>\n",
       "      <td>2938.000000</td>\n",
       "      <td>2919.000000</td>\n",
       "      <td>2712.00000</td>\n",
       "      <td>2919.000000</td>\n",
       "      <td>2938.000000</td>\n",
       "      <td>2490.000000</td>\n",
       "      <td>2.286000e+03</td>\n",
       "      <td>2904.000000</td>\n",
       "      <td>2904.000000</td>\n",
       "      <td>2771.000000</td>\n",
       "      <td>2775.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2007.518720</td>\n",
       "      <td>69.224932</td>\n",
       "      <td>164.796448</td>\n",
       "      <td>30.303948</td>\n",
       "      <td>4.602861</td>\n",
       "      <td>738.251295</td>\n",
       "      <td>80.940461</td>\n",
       "      <td>2419.592240</td>\n",
       "      <td>38.321247</td>\n",
       "      <td>42.035739</td>\n",
       "      <td>82.550188</td>\n",
       "      <td>5.93819</td>\n",
       "      <td>82.324084</td>\n",
       "      <td>1.742103</td>\n",
       "      <td>7483.158469</td>\n",
       "      <td>1.275338e+07</td>\n",
       "      <td>4.839704</td>\n",
       "      <td>4.870317</td>\n",
       "      <td>0.627551</td>\n",
       "      <td>11.992793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.613841</td>\n",
       "      <td>9.523867</td>\n",
       "      <td>124.292079</td>\n",
       "      <td>117.926501</td>\n",
       "      <td>4.052413</td>\n",
       "      <td>1987.914858</td>\n",
       "      <td>25.070016</td>\n",
       "      <td>11467.272489</td>\n",
       "      <td>20.044034</td>\n",
       "      <td>160.445548</td>\n",
       "      <td>23.428046</td>\n",
       "      <td>2.49832</td>\n",
       "      <td>23.716912</td>\n",
       "      <td>5.077785</td>\n",
       "      <td>14270.169342</td>\n",
       "      <td>6.101210e+07</td>\n",
       "      <td>4.420195</td>\n",
       "      <td>4.508882</td>\n",
       "      <td>0.210904</td>\n",
       "      <td>3.358920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2000.000000</td>\n",
       "      <td>36.300000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.37000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>1.681350</td>\n",
       "      <td>3.400000e+01</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2004.000000</td>\n",
       "      <td>63.100000</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.877500</td>\n",
       "      <td>4.685343</td>\n",
       "      <td>77.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.300000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>4.26000</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>463.935626</td>\n",
       "      <td>1.957932e+05</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.493000</td>\n",
       "      <td>10.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2008.000000</td>\n",
       "      <td>72.100000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.755000</td>\n",
       "      <td>64.912906</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>43.500000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>5.75500</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>1766.947595</td>\n",
       "      <td>1.386542e+06</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>0.677000</td>\n",
       "      <td>12.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2012.000000</td>\n",
       "      <td>75.700000</td>\n",
       "      <td>228.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>7.702500</td>\n",
       "      <td>441.534144</td>\n",
       "      <td>97.000000</td>\n",
       "      <td>360.250000</td>\n",
       "      <td>56.200000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>97.000000</td>\n",
       "      <td>7.49250</td>\n",
       "      <td>97.000000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>5910.806335</td>\n",
       "      <td>7.420359e+06</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>0.779000</td>\n",
       "      <td>14.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2015.000000</td>\n",
       "      <td>89.000000</td>\n",
       "      <td>723.000000</td>\n",
       "      <td>1800.000000</td>\n",
       "      <td>17.870000</td>\n",
       "      <td>19479.911610</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>212183.000000</td>\n",
       "      <td>87.300000</td>\n",
       "      <td>2500.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>17.60000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>50.600000</td>\n",
       "      <td>119172.741800</td>\n",
       "      <td>1.293859e+09</td>\n",
       "      <td>27.700000</td>\n",
       "      <td>28.600000</td>\n",
       "      <td>0.948000</td>\n",
       "      <td>20.700000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Year  Life expectancy   Adult Mortality  infant deaths  \\\n",
       "count  2938.000000       2928.000000      2928.000000    2938.000000   \n",
       "mean   2007.518720         69.224932       164.796448      30.303948   \n",
       "std       4.613841          9.523867       124.292079     117.926501   \n",
       "min    2000.000000         36.300000         1.000000       0.000000   \n",
       "25%    2004.000000         63.100000        74.000000       0.000000   \n",
       "50%    2008.000000         72.100000       144.000000       3.000000   \n",
       "75%    2012.000000         75.700000       228.000000      22.000000   \n",
       "max    2015.000000         89.000000       723.000000    1800.000000   \n",
       "\n",
       "           Alcohol  percentage expenditure  Hepatitis B       Measles   \\\n",
       "count  2744.000000             2938.000000  2385.000000    2938.000000   \n",
       "mean      4.602861              738.251295    80.940461    2419.592240   \n",
       "std       4.052413             1987.914858    25.070016   11467.272489   \n",
       "min       0.010000                0.000000     1.000000       0.000000   \n",
       "25%       0.877500                4.685343    77.000000       0.000000   \n",
       "50%       3.755000               64.912906    92.000000      17.000000   \n",
       "75%       7.702500              441.534144    97.000000     360.250000   \n",
       "max      17.870000            19479.911610    99.000000  212183.000000   \n",
       "\n",
       "              BMI   under-five deaths         Polio  Total expenditure  \\\n",
       "count  2904.000000         2938.000000  2919.000000         2712.00000   \n",
       "mean     38.321247           42.035739    82.550188            5.93819   \n",
       "std      20.044034          160.445548    23.428046            2.49832   \n",
       "min       1.000000            0.000000     3.000000            0.37000   \n",
       "25%      19.300000            0.000000    78.000000            4.26000   \n",
       "50%      43.500000            4.000000    93.000000            5.75500   \n",
       "75%      56.200000           28.000000    97.000000            7.49250   \n",
       "max      87.300000         2500.000000    99.000000           17.60000   \n",
       "\n",
       "       Diphtheria      HIV/AIDS            GDP    Population  \\\n",
       "count  2919.000000  2938.000000    2490.000000  2.286000e+03   \n",
       "mean     82.324084     1.742103    7483.158469  1.275338e+07   \n",
       "std      23.716912     5.077785   14270.169342  6.101210e+07   \n",
       "min       2.000000     0.100000       1.681350  3.400000e+01   \n",
       "25%      78.000000     0.100000     463.935626  1.957932e+05   \n",
       "50%      93.000000     0.100000    1766.947595  1.386542e+06   \n",
       "75%      97.000000     0.800000    5910.806335  7.420359e+06   \n",
       "max      99.000000    50.600000  119172.741800  1.293859e+09   \n",
       "\n",
       "        thinness  1-19 years   thinness 5-9 years  \\\n",
       "count            2904.000000          2904.000000   \n",
       "mean                4.839704             4.870317   \n",
       "std                 4.420195             4.508882   \n",
       "min                 0.100000             0.100000   \n",
       "25%                 1.600000             1.500000   \n",
       "50%                 3.300000             3.300000   \n",
       "75%                 7.200000             7.200000   \n",
       "max                27.700000            28.600000   \n",
       "\n",
       "       Income composition of resources    Schooling  \n",
       "count                      2771.000000  2775.000000  \n",
       "mean                          0.627551    11.992793  \n",
       "std                           0.210904     3.358920  \n",
       "min                           0.000000     0.000000  \n",
       "25%                           0.493000    10.100000  \n",
       "50%                           0.677000    12.300000  \n",
       "75%                           0.779000    14.300000  \n",
       "max                           0.948000    20.700000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "life_expectancy_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x2000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show life expectancy info on a histogram\n",
    "life_expectancy_df.hist(bins = 30, figsize = (20,20), color = 'r');\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x2000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the correlation matrix\n",
    "plt.figure(figsize = (20,20))\n",
    "corr_matrix = life_expectancy_df.corr()\n",
    "sns.heatmap(corr_matrix, annot = True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "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>Year</th>\n",
       "      <th>Life expectancy</th>\n",
       "      <th>Adult Mortality</th>\n",
       "      <th>infant deaths</th>\n",
       "      <th>Alcohol</th>\n",
       "      <th>percentage expenditure</th>\n",
       "      <th>Hepatitis B</th>\n",
       "      <th>Measles</th>\n",
       "      <th>BMI</th>\n",
       "      <th>under-five deaths</th>\n",
       "      <th>...</th>\n",
       "      <th>Diphtheria</th>\n",
       "      <th>HIV/AIDS</th>\n",
       "      <th>GDP</th>\n",
       "      <th>Population</th>\n",
       "      <th>thinness  1-19 years</th>\n",
       "      <th>thinness 5-9 years</th>\n",
       "      <th>Income composition of resources</th>\n",
       "      <th>Schooling</th>\n",
       "      <th>Status_Developed</th>\n",
       "      <th>Status_Developing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015</td>\n",
       "      <td>65.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>62</td>\n",
       "      <td>0.01</td>\n",
       "      <td>71.279624</td>\n",
       "      <td>65.0</td>\n",
       "      <td>1154</td>\n",
       "      <td>19.1</td>\n",
       "      <td>83</td>\n",
       "      <td>...</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>584.259210</td>\n",
       "      <td>33736494.0</td>\n",
       "      <td>17.2</td>\n",
       "      <td>17.3</td>\n",
       "      <td>0.479</td>\n",
       "      <td>10.1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014</td>\n",
       "      <td>59.9</td>\n",
       "      <td>271.0</td>\n",
       "      <td>64</td>\n",
       "      <td>0.01</td>\n",
       "      <td>73.523582</td>\n",
       "      <td>62.0</td>\n",
       "      <td>492</td>\n",
       "      <td>18.6</td>\n",
       "      <td>86</td>\n",
       "      <td>...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>612.696514</td>\n",
       "      <td>327582.0</td>\n",
       "      <td>17.5</td>\n",
       "      <td>17.5</td>\n",
       "      <td>0.476</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013</td>\n",
       "      <td>59.9</td>\n",
       "      <td>268.0</td>\n",
       "      <td>66</td>\n",
       "      <td>0.01</td>\n",
       "      <td>73.219243</td>\n",
       "      <td>64.0</td>\n",
       "      <td>430</td>\n",
       "      <td>18.1</td>\n",
       "      <td>89</td>\n",
       "      <td>...</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>631.744976</td>\n",
       "      <td>31731688.0</td>\n",
       "      <td>17.7</td>\n",
       "      <td>17.7</td>\n",
       "      <td>0.470</td>\n",
       "      <td>9.9</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012</td>\n",
       "      <td>59.5</td>\n",
       "      <td>272.0</td>\n",
       "      <td>69</td>\n",
       "      <td>0.01</td>\n",
       "      <td>78.184215</td>\n",
       "      <td>67.0</td>\n",
       "      <td>2787</td>\n",
       "      <td>17.6</td>\n",
       "      <td>93</td>\n",
       "      <td>...</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>669.959000</td>\n",
       "      <td>3696958.0</td>\n",
       "      <td>17.9</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.463</td>\n",
       "      <td>9.8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2011</td>\n",
       "      <td>59.2</td>\n",
       "      <td>275.0</td>\n",
       "      <td>71</td>\n",
       "      <td>0.01</td>\n",
       "      <td>7.097109</td>\n",
       "      <td>68.0</td>\n",
       "      <td>3013</td>\n",
       "      <td>17.2</td>\n",
       "      <td>97</td>\n",
       "      <td>...</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>63.537231</td>\n",
       "      <td>2978599.0</td>\n",
       "      <td>18.2</td>\n",
       "      <td>18.2</td>\n",
       "      <td>0.454</td>\n",
       "      <td>9.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2933</th>\n",
       "      <td>2004</td>\n",
       "      <td>44.3</td>\n",
       "      <td>723.0</td>\n",
       "      <td>27</td>\n",
       "      <td>4.36</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>68.0</td>\n",
       "      <td>31</td>\n",
       "      <td>27.1</td>\n",
       "      <td>42</td>\n",
       "      <td>...</td>\n",
       "      <td>65.0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>454.366654</td>\n",
       "      <td>12777511.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>9.4</td>\n",
       "      <td>0.407</td>\n",
       "      <td>9.2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2934</th>\n",
       "      <td>2003</td>\n",
       "      <td>44.5</td>\n",
       "      <td>715.0</td>\n",
       "      <td>26</td>\n",
       "      <td>4.06</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.0</td>\n",
       "      <td>998</td>\n",
       "      <td>26.7</td>\n",
       "      <td>41</td>\n",
       "      <td>...</td>\n",
       "      <td>68.0</td>\n",
       "      <td>36.7</td>\n",
       "      <td>453.351155</td>\n",
       "      <td>12633897.0</td>\n",
       "      <td>9.8</td>\n",
       "      <td>9.9</td>\n",
       "      <td>0.418</td>\n",
       "      <td>9.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2935</th>\n",
       "      <td>2002</td>\n",
       "      <td>44.8</td>\n",
       "      <td>73.0</td>\n",
       "      <td>25</td>\n",
       "      <td>4.43</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>73.0</td>\n",
       "      <td>304</td>\n",
       "      <td>26.3</td>\n",
       "      <td>40</td>\n",
       "      <td>...</td>\n",
       "      <td>71.0</td>\n",
       "      <td>39.8</td>\n",
       "      <td>57.348340</td>\n",
       "      <td>125525.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.427</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2936</th>\n",
       "      <td>2001</td>\n",
       "      <td>45.3</td>\n",
       "      <td>686.0</td>\n",
       "      <td>25</td>\n",
       "      <td>1.72</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>76.0</td>\n",
       "      <td>529</td>\n",
       "      <td>25.9</td>\n",
       "      <td>39</td>\n",
       "      <td>...</td>\n",
       "      <td>75.0</td>\n",
       "      <td>42.1</td>\n",
       "      <td>548.587312</td>\n",
       "      <td>12366165.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.427</td>\n",
       "      <td>9.8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2937</th>\n",
       "      <td>2000</td>\n",
       "      <td>46.0</td>\n",
       "      <td>665.0</td>\n",
       "      <td>24</td>\n",
       "      <td>1.68</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1483</td>\n",
       "      <td>25.5</td>\n",
       "      <td>39</td>\n",
       "      <td>...</td>\n",
       "      <td>78.0</td>\n",
       "      <td>43.5</td>\n",
       "      <td>547.358879</td>\n",
       "      <td>12222251.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>0.434</td>\n",
       "      <td>9.8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2938 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Year  Life expectancy   Adult Mortality  infant deaths  Alcohol  \\\n",
       "0     2015              65.0            263.0             62     0.01   \n",
       "1     2014              59.9            271.0             64     0.01   \n",
       "2     2013              59.9            268.0             66     0.01   \n",
       "3     2012              59.5            272.0             69     0.01   \n",
       "4     2011              59.2            275.0             71     0.01   \n",
       "...    ...               ...              ...            ...      ...   \n",
       "2933  2004              44.3            723.0             27     4.36   \n",
       "2934  2003              44.5            715.0             26     4.06   \n",
       "2935  2002              44.8             73.0             25     4.43   \n",
       "2936  2001              45.3            686.0             25     1.72   \n",
       "2937  2000              46.0            665.0             24     1.68   \n",
       "\n",
       "      percentage expenditure  Hepatitis B  Measles    BMI   \\\n",
       "0                  71.279624         65.0      1154   19.1   \n",
       "1                  73.523582         62.0       492   18.6   \n",
       "2                  73.219243         64.0       430   18.1   \n",
       "3                  78.184215         67.0      2787   17.6   \n",
       "4                   7.097109         68.0      3013   17.2   \n",
       "...                      ...          ...       ...    ...   \n",
       "2933                0.000000         68.0        31   27.1   \n",
       "2934                0.000000          7.0       998   26.7   \n",
       "2935                0.000000         73.0       304   26.3   \n",
       "2936                0.000000         76.0       529   25.9   \n",
       "2937                0.000000         79.0      1483   25.5   \n",
       "\n",
       "      under-five deaths   ...  Diphtheria    HIV/AIDS         GDP  Population  \\\n",
       "0                     83  ...         65.0        0.1  584.259210  33736494.0   \n",
       "1                     86  ...         62.0        0.1  612.696514    327582.0   \n",
       "2                     89  ...         64.0        0.1  631.744976  31731688.0   \n",
       "3                     93  ...         67.0        0.1  669.959000   3696958.0   \n",
       "4                     97  ...         68.0        0.1   63.537231   2978599.0   \n",
       "...                  ...  ...          ...        ...         ...         ...   \n",
       "2933                  42  ...         65.0       33.6  454.366654  12777511.0   \n",
       "2934                  41  ...         68.0       36.7  453.351155  12633897.0   \n",
       "2935                  40  ...         71.0       39.8   57.348340    125525.0   \n",
       "2936                  39  ...         75.0       42.1  548.587312  12366165.0   \n",
       "2937                  39  ...         78.0       43.5  547.358879  12222251.0   \n",
       "\n",
       "       thinness  1-19 years   thinness 5-9 years  \\\n",
       "0                      17.2                 17.3   \n",
       "1                      17.5                 17.5   \n",
       "2                      17.7                 17.7   \n",
       "3                      17.9                 18.0   \n",
       "4                      18.2                 18.2   \n",
       "...                     ...                  ...   \n",
       "2933                    9.4                  9.4   \n",
       "2934                    9.8                  9.9   \n",
       "2935                    1.2                  1.3   \n",
       "2936                    1.6                  1.7   \n",
       "2937                   11.0                 11.2   \n",
       "\n",
       "      Income composition of resources  Schooling  Status_Developed  \\\n",
       "0                               0.479       10.1                 0   \n",
       "1                               0.476       10.0                 0   \n",
       "2                               0.470        9.9                 0   \n",
       "3                               0.463        9.8                 0   \n",
       "4                               0.454        9.5                 0   \n",
       "...                               ...        ...               ...   \n",
       "2933                            0.407        9.2                 0   \n",
       "2934                            0.418        9.5                 0   \n",
       "2935                            0.427       10.0                 0   \n",
       "2936                            0.427        9.8                 0   \n",
       "2937                            0.434        9.8                 0   \n",
       "\n",
       "      Status_Developing  \n",
       "0                     1  \n",
       "1                     1  \n",
       "2                     1  \n",
       "3                     1  \n",
       "4                     1  \n",
       "...                 ...  \n",
       "2933                  1  \n",
       "2934                  1  \n",
       "2935                  1  \n",
       "2936                  1  \n",
       "2937                  1  \n",
       "\n",
       "[2938 rows x 22 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Perform One-Hot Encoding on 'Status' column\n",
    "life_expectancy_df = pd.get_dummies(life_expectancy_df, columns=['Status'])\n",
    "life_expectancy_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Replace null values with the average value for that column\n",
    "life_expectancy_df = life_expectancy_df.apply(lambda x: x.fillna(x.mean()),axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Year                               0\n",
       "Life expectancy                    0\n",
       "Adult Mortality                    0\n",
       "infant deaths                      0\n",
       "Alcohol                            0\n",
       "percentage expenditure             0\n",
       "Hepatitis B                        0\n",
       "Measles                            0\n",
       " BMI                               0\n",
       "under-five deaths                  0\n",
       "Polio                              0\n",
       "Total expenditure                  0\n",
       "Diphtheria                         0\n",
       " HIV/AIDS                          0\n",
       "GDP                                0\n",
       "Population                         0\n",
       " thinness  1-19 years              0\n",
       " thinness 5-9 years                0\n",
       "Income composition of resources    0\n",
       "Schooling                          0\n",
       "Status_Developed                   0\n",
       "Status_Developing                  0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Confirm null values have been replaced\n",
    "life_expectancy_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2938,)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Correct name of 'Life expectancy ' column to 'Life expectancy'\n",
    "life_expectancy_df = life_expectancy_df.rename(columns={'Life expectancy ':'Life expectancy'})\n",
    "life_expectancy_df['Life expectancy'].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Life expectancy</th>\n",
       "      <th>Year</th>\n",
       "      <th>Adult Mortality</th>\n",
       "      <th>infant deaths</th>\n",
       "      <th>Alcohol</th>\n",
       "      <th>percentage expenditure</th>\n",
       "      <th>Hepatitis B</th>\n",
       "      <th>Measles</th>\n",
       "      <th>BMI</th>\n",
       "      <th>under-five deaths</th>\n",
       "      <th>...</th>\n",
       "      <th>Diphtheria</th>\n",
       "      <th>HIV/AIDS</th>\n",
       "      <th>GDP</th>\n",
       "      <th>Population</th>\n",
       "      <th>thinness  1-19 years</th>\n",
       "      <th>thinness 5-9 years</th>\n",
       "      <th>Income composition of resources</th>\n",
       "      <th>Schooling</th>\n",
       "      <th>Status_Developed</th>\n",
       "      <th>Status_Developing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>65.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>263.0</td>\n",
       "      <td>62</td>\n",
       "      <td>0.01</td>\n",
       "      <td>71.279624</td>\n",
       "      <td>65.0</td>\n",
       "      <td>1154</td>\n",
       "      <td>19.1</td>\n",
       "      <td>83</td>\n",
       "      <td>...</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>584.259210</td>\n",
       "      <td>33736494.0</td>\n",
       "      <td>17.2</td>\n",
       "      <td>17.3</td>\n",
       "      <td>0.479</td>\n",
       "      <td>10.1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>59.9</td>\n",
       "      <td>2014</td>\n",
       "      <td>271.0</td>\n",
       "      <td>64</td>\n",
       "      <td>0.01</td>\n",
       "      <td>73.523582</td>\n",
       "      <td>62.0</td>\n",
       "      <td>492</td>\n",
       "      <td>18.6</td>\n",
       "      <td>86</td>\n",
       "      <td>...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>612.696514</td>\n",
       "      <td>327582.0</td>\n",
       "      <td>17.5</td>\n",
       "      <td>17.5</td>\n",
       "      <td>0.476</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>59.9</td>\n",
       "      <td>2013</td>\n",
       "      <td>268.0</td>\n",
       "      <td>66</td>\n",
       "      <td>0.01</td>\n",
       "      <td>73.219243</td>\n",
       "      <td>64.0</td>\n",
       "      <td>430</td>\n",
       "      <td>18.1</td>\n",
       "      <td>89</td>\n",
       "      <td>...</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>631.744976</td>\n",
       "      <td>31731688.0</td>\n",
       "      <td>17.7</td>\n",
       "      <td>17.7</td>\n",
       "      <td>0.470</td>\n",
       "      <td>9.9</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>59.5</td>\n",
       "      <td>2012</td>\n",
       "      <td>272.0</td>\n",
       "      <td>69</td>\n",
       "      <td>0.01</td>\n",
       "      <td>78.184215</td>\n",
       "      <td>67.0</td>\n",
       "      <td>2787</td>\n",
       "      <td>17.6</td>\n",
       "      <td>93</td>\n",
       "      <td>...</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>669.959000</td>\n",
       "      <td>3696958.0</td>\n",
       "      <td>17.9</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.463</td>\n",
       "      <td>9.8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>59.2</td>\n",
       "      <td>2011</td>\n",
       "      <td>275.0</td>\n",
       "      <td>71</td>\n",
       "      <td>0.01</td>\n",
       "      <td>7.097109</td>\n",
       "      <td>68.0</td>\n",
       "      <td>3013</td>\n",
       "      <td>17.2</td>\n",
       "      <td>97</td>\n",
       "      <td>...</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>63.537231</td>\n",
       "      <td>2978599.0</td>\n",
       "      <td>18.2</td>\n",
       "      <td>18.2</td>\n",
       "      <td>0.454</td>\n",
       "      <td>9.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>58.8</td>\n",
       "      <td>2010</td>\n",
       "      <td>279.0</td>\n",
       "      <td>74</td>\n",
       "      <td>0.01</td>\n",
       "      <td>79.679367</td>\n",
       "      <td>66.0</td>\n",
       "      <td>1989</td>\n",
       "      <td>16.7</td>\n",
       "      <td>102</td>\n",
       "      <td>...</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>553.328940</td>\n",
       "      <td>2883167.0</td>\n",
       "      <td>18.4</td>\n",
       "      <td>18.4</td>\n",
       "      <td>0.448</td>\n",
       "      <td>9.2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Life expectancy  Year  Adult Mortality  infant deaths  Alcohol  \\\n",
       "0             65.0  2015            263.0             62     0.01   \n",
       "1             59.9  2014            271.0             64     0.01   \n",
       "2             59.9  2013            268.0             66     0.01   \n",
       "3             59.5  2012            272.0             69     0.01   \n",
       "4             59.2  2011            275.0             71     0.01   \n",
       "5             58.8  2010            279.0             74     0.01   \n",
       "\n",
       "   percentage expenditure  Hepatitis B  Measles    BMI   under-five deaths   \\\n",
       "0               71.279624         65.0      1154   19.1                  83   \n",
       "1               73.523582         62.0       492   18.6                  86   \n",
       "2               73.219243         64.0       430   18.1                  89   \n",
       "3               78.184215         67.0      2787   17.6                  93   \n",
       "4                7.097109         68.0      3013   17.2                  97   \n",
       "5               79.679367         66.0      1989   16.7                 102   \n",
       "\n",
       "   ...  Diphtheria    HIV/AIDS         GDP  Population   thinness  1-19 years  \\\n",
       "0  ...         65.0        0.1  584.259210  33736494.0                   17.2   \n",
       "1  ...         62.0        0.1  612.696514    327582.0                   17.5   \n",
       "2  ...         64.0        0.1  631.744976  31731688.0                   17.7   \n",
       "3  ...         67.0        0.1  669.959000   3696958.0                   17.9   \n",
       "4  ...         68.0        0.1   63.537231   2978599.0                   18.2   \n",
       "5  ...         66.0        0.1  553.328940   2883167.0                   18.4   \n",
       "\n",
       "    thinness 5-9 years  Income composition of resources  Schooling  \\\n",
       "0                 17.3                            0.479       10.1   \n",
       "1                 17.5                            0.476       10.0   \n",
       "2                 17.7                            0.470        9.9   \n",
       "3                 18.0                            0.463        9.8   \n",
       "4                 18.2                            0.454        9.5   \n",
       "5                 18.4                            0.448        9.2   \n",
       "\n",
       "   Status_Developed  Status_Developing  \n",
       "0                 0                  1  \n",
       "1                 0                  1  \n",
       "2                 0                  1  \n",
       "3                 0                  1  \n",
       "4                 0                  1  \n",
       "5                 0                  1  \n",
       "\n",
       "[6 rows x 22 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Shift column 'Life expectancy' to first position\n",
    "first_column = life_expectancy_df.pop('Life expectancy')\n",
    "life_expectancy_df.insert(0, 'Life expectancy', first_column)\n",
    "\n",
    "life_expectancy_df.head(6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Split the data into training, test and validation datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Assign all features except life expectancy to X\n",
    "X = life_expectancy_df.drop(columns = ['Life expectancy'])\n",
    "\n",
    "# Assign Life expectancy feature to y\n",
    "y = life_expectancy_df['Life expectancy']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2938, 1)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert to numpy arrays\n",
    "X = np.array(X).astype('float32')\n",
    "y = np.array(y).astype('float32')\n",
    "\n",
    "# reshaping the array from (1000,) to (1000, 1)\n",
    "y = y.reshape(-1,1)\n",
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Split into training data and test data\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.4)\n",
    "\n",
    "# Split into training data and validation data\n",
    "X_test, X_val, y_test, y_val = train_test_split(X_test, y_test, test_size = 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1762, 21)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(588, 21)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(588, 21)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_val.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Convert the array into dataframe in a way that target variable is set as the first column and followed by feature columns\n",
    "# This is because sagemaker built-in algorithm expects the data in this format.\n",
    "\n",
    "train_data = pd.DataFrame({'Target': y_train[:,0]})\n",
    "for i in range(X_train.shape[1]):\n",
    "    train_data[i] = X_train[:,i]\n",
    "    \n",
    "val_data = pd.DataFrame({'Target':y_val[:,0]})\n",
    "for i in range(X_val.shape[1]):\n",
    "    val_data[i] = X_val[:,i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Target</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>...</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>76.699997</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.830000</td>\n",
       "      <td>91.139717</td>\n",
       "      <td>97.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.100000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>633.794983</td>\n",
       "      <td>367.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.1</td>\n",
       "      <td>0.653000</td>\n",
       "      <td>11.600000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76.199997</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.602861</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>78.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.200001</td>\n",
       "      <td>7.0</td>\n",
       "      <td>...</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>625.622253</td>\n",
       "      <td>16144368.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.739000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>75.199997</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.160000</td>\n",
       "      <td>1380.228149</td>\n",
       "      <td>98.00000</td>\n",
       "      <td>11.0</td>\n",
       "      <td>55.599998</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>15846.476562</td>\n",
       "      <td>12753375.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>5.9</td>\n",
       "      <td>0.803000</td>\n",
       "      <td>13.900000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>51.799999</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>227.0</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>80.94046</td>\n",
       "      <td>8072.0</td>\n",
       "      <td>15.300000</td>\n",
       "      <td>332.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>7483.158691</td>\n",
       "      <td>12753375.0</td>\n",
       "      <td>12.2</td>\n",
       "      <td>12.1</td>\n",
       "      <td>0.627551</td>\n",
       "      <td>11.992793</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>73.599998</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.920000</td>\n",
       "      <td>1088.244995</td>\n",
       "      <td>89.00000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>57.900002</td>\n",
       "      <td>7.0</td>\n",
       "      <td>...</td>\n",
       "      <td>91.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>6268.691895</td>\n",
       "      <td>145844.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>3.2</td>\n",
       "      <td>0.712000</td>\n",
       "      <td>13.200000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>73.099998</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.910000</td>\n",
       "      <td>843.787720</td>\n",
       "      <td>8.00000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>54.700001</td>\n",
       "      <td>7.0</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>5759.643066</td>\n",
       "      <td>12795.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>3.2</td>\n",
       "      <td>0.703000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Target       0      1      2         3            4         5       6  \\\n",
       "0  76.699997  2010.0   73.0    0.0  1.830000    91.139717  97.00000     0.0   \n",
       "1  76.199997  2015.0  118.0    6.0  4.602861     0.000000  78.00000     0.0   \n",
       "2  75.199997  2004.0   83.0    0.0  2.160000  1380.228149  98.00000    11.0   \n",
       "3  51.799999  2001.0   34.0  227.0  1.900000     0.000000  80.94046  8072.0   \n",
       "4  73.599998  2014.0  154.0    6.0  5.920000  1088.244995  89.00000     0.0   \n",
       "5  73.099998  2011.0   16.0    6.0  5.910000   843.787720   8.00000     2.0   \n",
       "\n",
       "           7      8  ...    11   12            13          14    15    16  \\\n",
       "0  22.100000    0.0  ...  96.0  0.1    633.794983       367.0  14.0  14.1   \n",
       "1  54.200001    7.0  ...  78.0  0.1    625.622253  16144368.0   1.2   1.1   \n",
       "2  55.599998    0.0  ...  98.0  0.1  15846.476562  12753375.0   6.1   5.9   \n",
       "3  15.300000  332.0  ...   3.0  2.4   7483.158691  12753375.0  12.2  12.1   \n",
       "4  57.900002    7.0  ...  91.0  0.3   6268.691895    145844.0   3.3   3.2   \n",
       "5  54.700001    7.0  ...  84.0  0.7   5759.643066     12795.0   3.3   3.2   \n",
       "\n",
       "         17         18   19   20  \n",
       "0  0.653000  11.600000  0.0  1.0  \n",
       "1  0.739000  14.000000  0.0  1.0  \n",
       "2  0.803000  13.900000  0.0  1.0  \n",
       "3  0.627551  11.992793  0.0  1.0  \n",
       "4  0.712000  13.200000  0.0  1.0  \n",
       "5  0.703000  13.000000  0.0  1.0  \n",
       "\n",
       "[6 rows x 22 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>69.099998</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>4.602861</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>78.00000</td>\n",
       "      <td>15099.0</td>\n",
       "      <td>27.400000</td>\n",
       "      <td>136.0</td>\n",
       "      <td>...</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3336.166748</td>\n",
       "      <td>258162112.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.686</td>\n",
       "      <td>12.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>54.599998</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>345.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>2.048575</td>\n",
       "      <td>80.94046</td>\n",
       "      <td>1833.0</td>\n",
       "      <td>17.100000</td>\n",
       "      <td>22.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.3</td>\n",
       "      <td>26.639465</td>\n",
       "      <td>511177.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>9.1</td>\n",
       "      <td>0.426</td>\n",
       "      <td>9.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>81.099998</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11.800000</td>\n",
       "      <td>6415.357422</td>\n",
       "      <td>51.00000</td>\n",
       "      <td>1541.0</td>\n",
       "      <td>59.599998</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>41631.132812</td>\n",
       "      <td>647744.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.879</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>65.400002</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>17.482937</td>\n",
       "      <td>92.00000</td>\n",
       "      <td>190.0</td>\n",
       "      <td>19.799999</td>\n",
       "      <td>65.0</td>\n",
       "      <td>...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>987.736572</td>\n",
       "      <td>5155896.0</td>\n",
       "      <td>13.1</td>\n",
       "      <td>13.3</td>\n",
       "      <td>0.515</td>\n",
       "      <td>8.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>88.000000</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.500000</td>\n",
       "      <td>17028.527344</td>\n",
       "      <td>95.00000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>59.599998</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>115761.578125</td>\n",
       "      <td>518347.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.894</td>\n",
       "      <td>13.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>81.000000</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.550000</td>\n",
       "      <td>9495.541016</td>\n",
       "      <td>80.94046</td>\n",
       "      <td>39.0</td>\n",
       "      <td>52.799999</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>93.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>53255.976562</td>\n",
       "      <td>7389625.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.895</td>\n",
       "      <td>15.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Target       0      1      2          3             4         5  \\\n",
       "0  69.099998  2015.0  176.0  114.0   4.602861      0.000000  78.00000   \n",
       "1  54.599998  2001.0  345.0   14.0   0.950000      2.048575  80.94046   \n",
       "2  81.099998  2009.0   88.0    3.0  11.800000   6415.357422  51.00000   \n",
       "3  65.400002  2010.0   29.0   49.0   0.300000     17.482937  92.00000   \n",
       "4  88.000000  2011.0   72.0    0.0  11.500000  17028.527344  95.00000   \n",
       "5  81.000000  2004.0   69.0    0.0  10.550000   9495.541016  80.94046   \n",
       "\n",
       "         6          7      8  ...    11   12             13           14  \\\n",
       "0  15099.0  27.400000  136.0  ...  78.0  0.3    3336.166748  258162112.0   \n",
       "1   1833.0  17.100000   22.0  ...   5.0  5.3      26.639465     511177.0   \n",
       "2   1541.0  59.599998    3.0  ...  98.0  0.1   41631.132812     647744.0   \n",
       "3    190.0  19.799999   65.0  ...   9.0  0.5     987.736572    5155896.0   \n",
       "4      6.0  59.599998    0.0  ...  99.0  0.1  115761.578125     518347.0   \n",
       "5     39.0  52.799999    0.0  ...  93.0  0.1   53255.976562    7389625.0   \n",
       "\n",
       "     15    16     17    18   19   20  \n",
       "0   1.4   1.2  0.686  12.9  0.0  1.0  \n",
       "1   9.2   9.1  0.426   9.4  0.0  1.0  \n",
       "2   0.6   0.6  0.879  16.0  0.0  1.0  \n",
       "3  13.1  13.3  0.515   8.8  0.0  1.0  \n",
       "4   0.9   0.9  0.894  13.9  1.0  0.0  \n",
       "5   0.6   0.4  0.895  15.1  1.0  0.0  \n",
       "\n",
       "[6 rows x 22 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val_data.head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# save train_data and validation_data as csv files.\n",
    "train_data.to_csv('tmp/train.csv', header = False, index = False)\n",
    "val_data.to_csv('tmp/validation.csv', header = False, index = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 3. Upload training and validation data to S3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "bucket = Session().default_bucket() \n",
    "prefix = 'XGBoost-Regressor'\n",
    "key = 'XGBoost-Regressor'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "uploaded training data location: s3://sagemaker-us-east-1-628298263648/XGBoost-Regressor/train/XGBoost-Regressor\n"
     ]
    }
   ],
   "source": [
    "# Read the data from csv file and upload it to S3\n",
    "with open('tmp/train.csv','rb') as f:\n",
    "    boto3.Session().resource('s3').Bucket(bucket).Object(os.path.join(prefix, 'train', key)).upload_fileobj(f)\n",
    "\n",
    "# Print S3 Training data location\n",
    "s3_train_data = 's3://{}/{}/train/{}'.format(bucket, prefix, key)\n",
    "print('uploaded training data location: {}'.format(s3_train_data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "uploaded validation data location: s3://sagemaker-us-east-1-628298263648/XGBoost-Regressor/validation/XGBoost-Regressor\n"
     ]
    }
   ],
   "source": [
    "# Read the data from csv file and upload it to S3\n",
    "with open('tmp/validation.csv','rb') as f:\n",
    "    boto3.Session().resource('s3').Bucket(bucket).Object(os.path.join(prefix, 'validation', key)).upload_fileobj(f)\n",
    "    \n",
    "# Print S3 Validation data location\n",
    "s3_validation_data = 's3://{}/{}/validation/{}'.format(bucket, prefix, key)\n",
    "print('uploaded validation data location: {}'.format(s3_validation_data))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 3. Train SageMaker Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "arn:aws:iam::628298263648:role/AmazonSageMaker-ExecutionRole-SageMaker-S3-FullAccess\n"
     ]
    }
   ],
   "source": [
    "# Create Sagemaker session\n",
    "sagemaker_session = sagemaker.Session()\n",
    "\n",
    "# Roles give learning and hosting access to the data\n",
    "role = sagemaker.get_execution_role()\n",
    "print(role)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training artifacts will be uploaded to: s3://sagemaker-us-east-1-628298263648/XGBoost-Regressor/output\n"
     ]
    }
   ],
   "source": [
    "output_location = 's3://{}/{}/output'.format(bucket, prefix)\n",
    "print('training artifacts will be uploaded to: {}'.format(output_location))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Get the training container of sagemaker built-in algorithms\n",
    "container = sagemaker.image_uris.retrieve(\"xgboost\", boto3.Session().region_name, version='1.0-1')\n",
    "\n",
    "# Create regressor\n",
    "regressor = sagemaker.estimator.Estimator(container,\n",
    "                                       role, \n",
    "                                       instance_count = 1, \n",
    "                                       instance_type = 'ml.m4.xlarge',\n",
    "                                       output_path = output_location,\n",
    "                                       sagemaker_session = sagemaker_session)\n",
    "\n",
    "# Set hyper-parameters to improve the performance of the model\n",
    "regressor.set_hyperparameters(max_depth = 5,\n",
    "                           objective = 'reg:squarederror',\n",
    "                           colsample_bytree = 0.3,\n",
    "                           alpha = 10,\n",
    "                           eta = 0.1,\n",
    "                           num_round = 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:sagemaker:Creating training-job with name: sagemaker-xgboost-2023-05-07-18-07-43-423\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-05-07 18:07:44 Starting - Starting the training job......\n",
      "2023-05-07 18:08:26 Starting - Preparing the instances for training.........\n",
      "2023-05-07 18:10:04 Downloading - Downloading input data...\n",
      "2023-05-07 18:10:34 Training - Downloading the training image...\n",
      "2023-05-07 18:11:20 Training - Training image download completed. Training in progress....\n",
      "2023-05-07 18:11:45 Uploading - Uploading generated training model\u001b[34m[2023-05-07 18:11:36.665 ip-10-0-172-199.ec2.internal:7 INFO utils.py:27] RULE_JOB_STOP_SIGNAL_FILENAME: None\u001b[0m\n",
      "\u001b[34mINFO:sagemaker-containers:Imported framework sagemaker_xgboost_container.training\u001b[0m\n",
      "\u001b[34mINFO:sagemaker-containers:Failed to parse hyperparameter objective value reg:squarederror to Json.\u001b[0m\n",
      "\u001b[34mReturning the value itself\u001b[0m\n",
      "\u001b[34mINFO:sagemaker-containers:No GPUs detected (normal if no gpus installed)\u001b[0m\n",
      "\u001b[34mINFO:sagemaker_xgboost_container.training:Running XGBoost Sagemaker in algorithm mode\u001b[0m\n",
      "\u001b[34mINFO:root:Determined delimiter of CSV input is ','\u001b[0m\n",
      "\u001b[34mINFO:root:Determined delimiter of CSV input is ','\u001b[0m\n",
      "\u001b[34mINFO:root:Determined delimiter of CSV input is ','\u001b[0m\n",
      "\u001b[34mINFO:root:Determined delimiter of CSV input is ','\u001b[0m\n",
      "\u001b[34mINFO:root:Single node training.\u001b[0m\n",
      "\u001b[34m[18:11:36] 1762x21 matrix with 37002 entries loaded from /opt/ml/input/data/train?format=csv&label_column=0&delimiter=,\u001b[0m\n",
      "\u001b[34m[18:11:36] 588x21 matrix with 12348 entries loaded from /opt/ml/input/data/validation?format=csv&label_column=0&delimiter=,\u001b[0m\n",
      "\u001b[34m[2023-05-07 18:11:36.771 ip-10-0-172-199.ec2.internal:7 INFO json_config.py:91] Creating hook from json_config at /opt/ml/input/config/debughookconfig.json.\u001b[0m\n",
      "\u001b[34m[2023-05-07 18:11:36.771 ip-10-0-172-199.ec2.internal:7 INFO hook.py:201] tensorboard_dir has not been set for the hook. SMDebug will not be exporting tensorboard summaries.\u001b[0m\n",
      "\u001b[34m[2023-05-07 18:11:36.772 ip-10-0-172-199.ec2.internal:7 INFO profiler_config_parser.py:102] User has disabled profiler.\u001b[0m\n",
      "\u001b[34m[2023-05-07 18:11:36.773 ip-10-0-172-199.ec2.internal:7 INFO hook.py:255] Saving to /opt/ml/output/tensors\u001b[0m\n",
      "\u001b[34m[2023-05-07 18:11:36.773 ip-10-0-172-199.ec2.internal:7 INFO state_store.py:77] The checkpoint config file /opt/ml/input/config/checkpointconfig.json does not exist.\u001b[0m\n",
      "\u001b[34mINFO:root:Debug hook created from config\u001b[0m\n",
      "\u001b[34mINFO:root:Train matrix has 1762 rows\u001b[0m\n",
      "\u001b[34mINFO:root:Validation matrix has 588 rows\u001b[0m\n",
      "\u001b[34m[18:11:36] WARNING: /workspace/src/learner.cc:328: \u001b[0m\n",
      "\u001b[34mParameters: { num_round } might not be used.\n",
      "  This may not be accurate due to some parameters are only used in language bindings but\n",
      "  passed down to XGBoost core.  Or some parameters are not used but slip through this\n",
      "  verification. Please open an issue if you find above cases.\u001b[0m\n",
      "\u001b[34m[0]#011train-rmse:62.51177#011validation-rmse:62.08412\u001b[0m\n",
      "\u001b[34m[2023-05-07 18:11:36.787 ip-10-0-172-199.ec2.internal:7 INFO hook.py:423] Monitoring the collections: metrics\u001b[0m\n",
      "\u001b[34m[2023-05-07 18:11:36.790 ip-10-0-172-199.ec2.internal:7 INFO hook.py:486] Hook is writing from the hook with pid: 7\u001b[0m\n",
      "\u001b[34m[1]#011train-rmse:56.32941#011validation-rmse:55.95034\u001b[0m\n",
      "\u001b[34m[2]#011train-rmse:50.78261#011validation-rmse:50.44631\u001b[0m\n",
      "\u001b[34m[3]#011train-rmse:45.76104#011validation-rmse:45.45344\u001b[0m\n",
      "\u001b[34m[4]#011train-rmse:41.24264#011validation-rmse:40.99726\u001b[0m\n",
      "\u001b[34m[5]#011train-rmse:37.20047#011validation-rmse:36.99652\u001b[0m\n",
      "\u001b[34m[6]#011train-rmse:33.54424#011validation-rmse:33.32787\u001b[0m\n",
      "\u001b[34m[7]#011train-rmse:30.24326#011validation-rmse:30.06716\u001b[0m\n",
      "\u001b[34m[8]#011train-rmse:27.27244#011validation-rmse:27.12804\u001b[0m\n",
      "\u001b[34m[9]#011train-rmse:24.59460#011validation-rmse:24.47189\u001b[0m\n",
      "\u001b[34m[10]#011train-rmse:22.19080#011validation-rmse:22.09761\u001b[0m\n",
      "\u001b[34m[11]#011train-rmse:20.03127#011validation-rmse:19.96512\u001b[0m\n",
      "\u001b[34m[12]#011train-rmse:18.10062#011validation-rmse:18.06090\u001b[0m\n",
      "\u001b[34m[13]#011train-rmse:16.35290#011validation-rmse:16.33425\u001b[0m\n",
      "\u001b[34m[14]#011train-rmse:14.78481#011validation-rmse:14.78982\u001b[0m\n",
      "\u001b[34m[15]#011train-rmse:13.36684#011validation-rmse:13.39355\u001b[0m\n",
      "\u001b[34m[16]#011train-rmse:12.10552#011validation-rmse:12.12731\u001b[0m\n",
      "\u001b[34m[17]#011train-rmse:10.97873#011validation-rmse:11.01471\u001b[0m\n",
      "\u001b[34m[18]#011train-rmse:9.94750#011validation-rmse:9.99915\u001b[0m\n",
      "\u001b[34m[19]#011train-rmse:9.01948#011validation-rmse:9.09075\u001b[0m\n",
      "\u001b[34m[20]#011train-rmse:8.19341#011validation-rmse:8.27368\u001b[0m\n",
      "\u001b[34m[21]#011train-rmse:7.46766#011validation-rmse:7.55760\u001b[0m\n",
      "\u001b[34m[22]#011train-rmse:6.81517#011validation-rmse:6.90324\u001b[0m\n",
      "\u001b[34m[23]#011train-rmse:6.22006#011validation-rmse:6.32800\u001b[0m\n",
      "\u001b[34m[24]#011train-rmse:5.71178#011validation-rmse:5.82802\u001b[0m\n",
      "\u001b[34m[25]#011train-rmse:5.24514#011validation-rmse:5.37294\u001b[0m\n",
      "\u001b[34m[26]#011train-rmse:4.83331#011validation-rmse:4.97276\u001b[0m\n",
      "\u001b[34m[27]#011train-rmse:4.47691#011validation-rmse:4.61806\u001b[0m\n",
      "\u001b[34m[28]#011train-rmse:4.15674#011validation-rmse:4.30878\u001b[0m\n",
      "\u001b[34m[29]#011train-rmse:3.85387#011validation-rmse:4.02737\u001b[0m\n",
      "\u001b[34m[30]#011train-rmse:3.60681#011validation-rmse:3.78976\u001b[0m\n",
      "\u001b[34m[31]#011train-rmse:3.38694#011validation-rmse:3.58294\u001b[0m\n",
      "\u001b[34m[32]#011train-rmse:3.20405#011validation-rmse:3.40885\u001b[0m\n",
      "\u001b[34m[33]#011train-rmse:3.02094#011validation-rmse:3.24391\u001b[0m\n",
      "\u001b[34m[34]#011train-rmse:2.87515#011validation-rmse:3.10992\u001b[0m\n",
      "\u001b[34m[35]#011train-rmse:2.74433#011validation-rmse:2.99133\u001b[0m\n",
      "\u001b[34m[36]#011train-rmse:2.62360#011validation-rmse:2.88507\u001b[0m\n",
      "\u001b[34m[37]#011train-rmse:2.52653#011validation-rmse:2.79236\u001b[0m\n",
      "\u001b[34m[38]#011train-rmse:2.44571#011validation-rmse:2.71701\u001b[0m\n",
      "\u001b[34m[39]#011train-rmse:2.37699#011validation-rmse:2.65332\u001b[0m\n",
      "\u001b[34m[40]#011train-rmse:2.31112#011validation-rmse:2.59348\u001b[0m\n",
      "\u001b[34m[41]#011train-rmse:2.25862#011validation-rmse:2.54627\u001b[0m\n",
      "\u001b[34m[42]#011train-rmse:2.21411#011validation-rmse:2.50612\u001b[0m\n",
      "\u001b[34m[43]#011train-rmse:2.15361#011validation-rmse:2.46377\u001b[0m\n",
      "\u001b[34m[44]#011train-rmse:2.10711#011validation-rmse:2.42563\u001b[0m\n",
      "\u001b[34m[45]#011train-rmse:2.07474#011validation-rmse:2.40164\u001b[0m\n",
      "\u001b[34m[46]#011train-rmse:2.05224#011validation-rmse:2.38416\u001b[0m\n",
      "\u001b[34m[47]#011train-rmse:2.01156#011validation-rmse:2.36068\u001b[0m\n",
      "\u001b[34m[48]#011train-rmse:1.98944#011validation-rmse:2.34096\u001b[0m\n",
      "\u001b[34m[49]#011train-rmse:1.95963#011validation-rmse:2.32151\u001b[0m\n",
      "\u001b[34m[50]#011train-rmse:1.93585#011validation-rmse:2.30199\u001b[0m\n",
      "\u001b[34m[51]#011train-rmse:1.91717#011validation-rmse:2.28653\u001b[0m\n",
      "\u001b[34m[52]#011train-rmse:1.89614#011validation-rmse:2.27364\u001b[0m\n",
      "\u001b[34m[53]#011train-rmse:1.88443#011validation-rmse:2.26714\u001b[0m\n",
      "\u001b[34m[54]#011train-rmse:1.87015#011validation-rmse:2.25685\u001b[0m\n",
      "\u001b[34m[55]#011train-rmse:1.85840#011validation-rmse:2.24823\u001b[0m\n",
      "\u001b[34m[56]#011train-rmse:1.84691#011validation-rmse:2.23836\u001b[0m\n",
      "\u001b[34m[57]#011train-rmse:1.82928#011validation-rmse:2.22732\u001b[0m\n",
      "\u001b[34m[58]#011train-rmse:1.80750#011validation-rmse:2.21354\u001b[0m\n",
      "\u001b[34m[59]#011train-rmse:1.79508#011validation-rmse:2.20797\u001b[0m\n",
      "\u001b[34m[60]#011train-rmse:1.77974#011validation-rmse:2.20280\u001b[0m\n",
      "\u001b[34m[61]#011train-rmse:1.76352#011validation-rmse:2.19355\u001b[0m\n",
      "\u001b[34m[62]#011train-rmse:1.74949#011validation-rmse:2.18688\u001b[0m\n",
      "\u001b[34m[63]#011train-rmse:1.73695#011validation-rmse:2.17842\u001b[0m\n",
      "\u001b[34m[64]#011train-rmse:1.72646#011validation-rmse:2.17252\u001b[0m\n",
      "\u001b[34m[65]#011train-rmse:1.72025#011validation-rmse:2.16848\u001b[0m\n",
      "\u001b[34m[66]#011train-rmse:1.71446#011validation-rmse:2.16549\u001b[0m\n",
      "\u001b[34m[67]#011train-rmse:1.70845#011validation-rmse:2.16262\u001b[0m\n",
      "\u001b[34m[68]#011train-rmse:1.70396#011validation-rmse:2.15989\u001b[0m\n",
      "\u001b[34m[69]#011train-rmse:1.68833#011validation-rmse:2.14833\u001b[0m\n",
      "\u001b[34m[70]#011train-rmse:1.67810#011validation-rmse:2.14748\u001b[0m\n",
      "\u001b[34m[71]#011train-rmse:1.67024#011validation-rmse:2.14226\u001b[0m\n",
      "\u001b[34m[72]#011train-rmse:1.65648#011validation-rmse:2.13517\u001b[0m\n",
      "\u001b[34m[73]#011train-rmse:1.64743#011validation-rmse:2.13234\u001b[0m\n",
      "\u001b[34m[74]#011train-rmse:1.64092#011validation-rmse:2.12894\u001b[0m\n",
      "\u001b[34m[75]#011train-rmse:1.63381#011validation-rmse:2.12474\u001b[0m\n",
      "\u001b[34m[76]#011train-rmse:1.62742#011validation-rmse:2.12322\u001b[0m\n",
      "\u001b[34m[77]#011train-rmse:1.62193#011validation-rmse:2.12018\u001b[0m\n",
      "\u001b[34m[78]#011train-rmse:1.61258#011validation-rmse:2.11567\u001b[0m\n",
      "\u001b[34m[79]#011train-rmse:1.60590#011validation-rmse:2.11412\u001b[0m\n",
      "\u001b[34m[80]#011train-rmse:1.59836#011validation-rmse:2.11207\u001b[0m\n",
      "\u001b[34m[81]#011train-rmse:1.59073#011validation-rmse:2.11066\u001b[0m\n",
      "\u001b[34m[82]#011train-rmse:1.58530#011validation-rmse:2.11014\u001b[0m\n",
      "\u001b[34m[83]#011train-rmse:1.58105#011validation-rmse:2.10900\u001b[0m\n",
      "\u001b[34m[84]#011train-rmse:1.57219#011validation-rmse:2.10567\u001b[0m\n",
      "\u001b[34m[85]#011train-rmse:1.56269#011validation-rmse:2.10001\u001b[0m\n",
      "\u001b[34m[86]#011train-rmse:1.55871#011validation-rmse:2.09661\u001b[0m\n",
      "\u001b[34m[87]#011train-rmse:1.54625#011validation-rmse:2.09109\u001b[0m\n",
      "\u001b[34m[88]#011train-rmse:1.53972#011validation-rmse:2.08855\u001b[0m\n",
      "\u001b[34m[89]#011train-rmse:1.53410#011validation-rmse:2.08765\u001b[0m\n",
      "\u001b[34m[90]#011train-rmse:1.52865#011validation-rmse:2.08507\u001b[0m\n",
      "\u001b[34m[91]#011train-rmse:1.52035#011validation-rmse:2.08261\u001b[0m\n",
      "\u001b[34m[92]#011train-rmse:1.51547#011validation-rmse:2.08154\u001b[0m\n",
      "\u001b[34m[93]#011train-rmse:1.50740#011validation-rmse:2.07822\u001b[0m\n",
      "\u001b[34m[94]#011train-rmse:1.50003#011validation-rmse:2.07412\u001b[0m\n",
      "\u001b[34m[95]#011train-rmse:1.48994#011validation-rmse:2.06541\u001b[0m\n",
      "\u001b[34m[96]#011train-rmse:1.48435#011validation-rmse:2.06390\u001b[0m\n",
      "\u001b[34m[97]#011train-rmse:1.47750#011validation-rmse:2.06384\u001b[0m\n",
      "\u001b[34m[98]#011train-rmse:1.46996#011validation-rmse:2.06256\u001b[0m\n",
      "\u001b[34m[99]#011train-rmse:1.46358#011validation-rmse:2.06170\u001b[0m\n",
      "\n",
      "2023-05-07 18:11:56 Completed - Training job completed\n",
      "Training seconds: 112\n",
      "Billable seconds: 112\n"
     ]
    }
   ],
   "source": [
    "# Train the regressor using training data and validation data\n",
    "train_input = sagemaker.session.TrainingInput(s3_data = s3_train_data, content_type='csv',s3_data_type = 'S3Prefix')\n",
    "valid_input = sagemaker.session.TrainingInput(s3_data = s3_validation_data, content_type='csv',s3_data_type = 'S3Prefix')\n",
    "\n",
    "data_channels = {'train': train_input,'validation': valid_input}\n",
    "\n",
    "regressor.fit(data_channels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Deploy the SageMaker ML Model and Assess Performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:sagemaker:Creating model with name: sagemaker-xgboost-2023-05-07-18-13-48-830\n",
      "INFO:sagemaker:Creating endpoint-config with name sagemaker-xgboost-2023-05-07-18-13-48-830\n",
      "INFO:sagemaker:Creating endpoint with name sagemaker-xgboost-2023-05-07-18-13-48-830\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------!"
     ]
    }
   ],
   "source": [
    "# Deploy the model\n",
    "predictor = regressor.deploy(initial_instance_count = 1, instance_type = \"ml.m4.xlarge\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'sagemaker-xgboost-2023-05-07-18-13-48-830'"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictor.endpoint_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:sagemaker.deprecations:The csv_serializer has been renamed in sagemaker>=2.\n",
      "See: https://sagemaker.readthedocs.io/en/stable/v2.html for details.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
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      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictor.serializer = csv_serializer\n",
    "predictions = predictor.predict(X_test)\n",
    "predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def bytes_2_array(x):\n",
    "    l = str(x).split(',') # Splits based on ','\n",
    "    l[0] = l[0][2:] # Remove unwanted characters like  (b,',') from first element\n",
    "    l[-1] = l[-1][:-1] # Remove unwanted last character (')\n",
    "    # Convert Strings to Floats\n",
    "    for i in range(len(l)):\n",
    "        l[i] = float(l[i])\n",
    "    # Convert list to array\n",
    "    l = np.array(l).astype('float32')\n",
    "    # reshape one-dimensional array to two-dimensional array\n",
    "    return l.reshape(-1,1)\n",
    "\n",
    "predicted_values = bytes_2_array(predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(588, 1)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predicted_values.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot predictions vs ground truth data\n",
    "plt.scatter(predicted_values, y_test)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE = 2.086 \n",
      "MSE = 4.352109 \n",
      "MAE = 1.4729538 \n",
      "R2 = 0.9524206612312542 \n",
      "Adjusted R2 = 0.9506553500755234\n"
     ]
    }
   ],
   "source": [
    "k = X_test.shape[1]\n",
    "n = len(X_test)\n",
    "RMSE = float(format(np.sqrt(mean_squared_error(y_test, predicted_values)),'.3f'))\n",
    "MSE = mean_squared_error(y_test, predicted_values)\n",
    "MAE = mean_absolute_error(y_test, predicted_values)\n",
    "r2 = r2_score(y_test, predicted_values)\n",
    "adj_r2 = 1-(1-r2)*(n-1)/(n-k-1)\n",
    "\n",
    "print('RMSE =',RMSE, '\\nMSE =',MSE, '\\nMAE =',MAE, '\\nR2 =', r2, '\\nAdjusted R2 =', adj_r2) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Cleanup - Delete the SageMaker Endpoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:sagemaker:Deleting endpoint configuration with name: sagemaker-xgboost-2023-05-07-18-13-48-830\n",
      "INFO:sagemaker:Deleting endpoint with name: sagemaker-xgboost-2023-05-07-18-13-48-830\n"
     ]
    }
   ],
   "source": [
    "# Delete the end-point\n",
    "predictor.delete_endpoint()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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