Customer Churn Prediction using XGBoost with Amazon SageMaker.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Customer Churn Prediction using XGBoost with Amazon SageMaker"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Losing customers is costly for any business. Identifying unhappy customers early on gives you a chance to offer them incentives to stay. This notebook describes using machine learning (ML) for the automated identification of unhappy customers, also known as customer churn prediction. ML models rarely give perfect predictions though, so this notebook is also about how to incorporate the relative costs of prediction mistakes when determining the financial outcome of using ML.\n",
    "\n",
    "We use an example of churn that is familiar to all of us–leaving a mobile phone operator. Seems like I can always find fault with my provider du jour! And if my provider knows that I’m thinking of leaving, it can offer timely incentives–I can always use a phone upgrade or perhaps have a new feature activated–and I might just stick around. Incentives are often much more cost effective than losing and reacquiring a customer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np                                # For matrix operations and numerical processing\n",
    "import pandas as pd                               # For munging tabular data\n",
    "import matplotlib.pyplot as plt                   # For charts and visualizations\n",
    "import matplotlib.ticker as ticker\n",
    "%matplotlib inline\n",
    "\n",
    "from IPython.display import Image                 # For displaying images in the notebook\n",
    "from IPython.display import display               # For displaying outputs in the notebook\n",
    "from time import gmtime, strftime                 # For labeling SageMaker models, endpoints, etc.\n",
    "import time\n",
    "import sys                                        # For writing outputs to notebook\n",
    "import math                                       # For ceiling function\n",
    "import json                                       # For parsing hosting outputs\n",
    "import os                                         # For manipulating filepath names\n",
    "import boto3\n",
    "import botocore\n",
    "from botocore.exceptions import ClientError\n",
    "\n",
    "import csv\n",
    "import io\n",
    "import re\n",
    "import s3fs\n",
    "import mxnet as mx\n",
    "import seaborn as sns\n",
    "import pickle\n",
    "import gzip\n",
    "import urllib\n",
    "import csv\n",
    "\n",
    "import cv2\n",
    "\n",
    "import sagemaker                                 \n",
    "from sagemaker.predictor import csv_serializer \n",
    "from sagemaker.predictor import json_deserializer\n",
    "import sagemaker.amazon.common as smac\n",
    "from sagemaker import get_execution_role"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Preparation (Specifying Sagemaker roles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sagemaker session : <sagemaker.session.Session object at 0x00000159CD493E48>\n",
      "S3 bucket : sagemaker-us-west-2-570447867175\n",
      "Prefix : xgboost-churn\n",
      "Region selected : us-west-2\n",
      "IAM role : arn:aws:iam::570447867175:role/SageMakerNotebookRole\n"
     ]
    }
   ],
   "source": [
    "sess   = sagemaker.Session()\n",
    "bucket = sess.default_bucket()                     \n",
    "prefix = 'xgboost-churn'\n",
    "region = boto3.Session().region_name\n",
    "role = 'arn:aws:iam::570447867175:role/SageMakerNotebookRole' # pass your IAM role name\n",
    "\n",
    "print('Sagemaker session :', sess)\n",
    "print('S3 bucket :', bucket)\n",
    "print('Prefix :', prefix)\n",
    "print('Region selected :', region)\n",
    "print('IAM role :', role)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'get_image_uri' method will be deprecated in favor of 'ImageURIProvider' class in SageMaker Python SDK v2.\n",
      "WARNING:root:There is a more up to date SageMaker XGBoost image. To use the newer image, please set 'repo_version'='1.0-1'. For example:\n",
      "\tget_image_uri(region, 'xgboost', '1.0-1').\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "433757028032.dkr.ecr.us-west-2.amazonaws.com/xgboost:1\n"
     ]
    }
   ],
   "source": [
    "from sagemaker.amazon.amazon_estimator import get_image_uri\n",
    "container = get_image_uri(region, 'xgboost')\n",
    "print(container)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Load Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dataset is publicly available and was mentioned in the book [Discovering Knowledge in Data](https://www.amazon.com/dp/0470908742/) by Daniel T. Larose"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mobile operators have historical records on which customers ultimately ended up churning and which continued using the service. We can use this historical information to construct an ML model of one mobile operator’s churn using a process called training. After training the model, we can pass the profile information of an arbitrary customer (the same profile information that we used to train the model) to the model, and have the model predict whether this customer is going to churn. Of course, we expect the model to make mistakes–after all, predicting the future is tricky business! But I’ll also show how to deal with prediction errors.\n",
    "\n",
    "The dataset we use is publicly available and was mentioned in the book Discovering Knowledge in Data by Daniel T. Larose. It is attributed by the author to the University of California Irvine Repository of Machine Learning Datasets. Let's download and read that dataset in now:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Or Wget method\n",
    "# !wget http://dataminingconsultant.com/DKD2e_data_sets.zip\n",
    "# !unzip -o DKD2e_data_sets.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>State</th>\n",
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       "      <th>CustServ Calls</th>\n",
       "      <th>Churn?</th>\n",
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       "      <th>0</th>\n",
       "      <td>KS</td>\n",
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       "      <td>265.1</td>\n",
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       "      <td>45.07</td>\n",
       "      <td>197.4</td>\n",
       "      <td>99</td>\n",
       "      <td>16.78</td>\n",
       "      <td>244.7</td>\n",
       "      <td>91</td>\n",
       "      <td>11.01</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.70</td>\n",
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       "      <td>False.</td>\n",
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       "      <th>1</th>\n",
       "      <td>OH</td>\n",
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       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26</td>\n",
       "      <td>161.6</td>\n",
       "      <td>123</td>\n",
       "      <td>27.47</td>\n",
       "      <td>195.5</td>\n",
       "      <td>103</td>\n",
       "      <td>16.62</td>\n",
       "      <td>254.4</td>\n",
       "      <td>103</td>\n",
       "      <td>11.45</td>\n",
       "      <td>13.7</td>\n",
       "      <td>3</td>\n",
       "      <td>3.70</td>\n",
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       "      <td>False.</td>\n",
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       "      <td>NJ</td>\n",
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       "      <td>358-1921</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>243.4</td>\n",
       "      <td>114</td>\n",
       "      <td>41.38</td>\n",
       "      <td>121.2</td>\n",
       "      <td>110</td>\n",
       "      <td>10.30</td>\n",
       "      <td>162.6</td>\n",
       "      <td>104</td>\n",
       "      <td>7.32</td>\n",
       "      <td>12.2</td>\n",
       "      <td>5</td>\n",
       "      <td>3.29</td>\n",
       "      <td>0</td>\n",
       "      <td>False.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>OH</td>\n",
       "      <td>84</td>\n",
       "      <td>408</td>\n",
       "      <td>375-9999</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>299.4</td>\n",
       "      <td>71</td>\n",
       "      <td>50.90</td>\n",
       "      <td>61.9</td>\n",
       "      <td>88</td>\n",
       "      <td>5.26</td>\n",
       "      <td>196.9</td>\n",
       "      <td>89</td>\n",
       "      <td>8.86</td>\n",
       "      <td>6.6</td>\n",
       "      <td>7</td>\n",
       "      <td>1.78</td>\n",
       "      <td>2</td>\n",
       "      <td>False.</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>OK</td>\n",
       "      <td>75</td>\n",
       "      <td>415</td>\n",
       "      <td>330-6626</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>166.7</td>\n",
       "      <td>113</td>\n",
       "      <td>28.34</td>\n",
       "      <td>148.3</td>\n",
       "      <td>122</td>\n",
       "      <td>12.61</td>\n",
       "      <td>186.9</td>\n",
       "      <td>121</td>\n",
       "      <td>8.41</td>\n",
       "      <td>10.1</td>\n",
       "      <td>3</td>\n",
       "      <td>2.73</td>\n",
       "      <td>3</td>\n",
       "      <td>False.</td>\n",
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       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>3328</th>\n",
       "      <td>AZ</td>\n",
       "      <td>192</td>\n",
       "      <td>415</td>\n",
       "      <td>414-4276</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>36</td>\n",
       "      <td>156.2</td>\n",
       "      <td>77</td>\n",
       "      <td>26.55</td>\n",
       "      <td>215.5</td>\n",
       "      <td>126</td>\n",
       "      <td>18.32</td>\n",
       "      <td>279.1</td>\n",
       "      <td>83</td>\n",
       "      <td>12.56</td>\n",
       "      <td>9.9</td>\n",
       "      <td>6</td>\n",
       "      <td>2.67</td>\n",
       "      <td>2</td>\n",
       "      <td>False.</td>\n",
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       "    <tr>\n",
       "      <th>3329</th>\n",
       "      <td>WV</td>\n",
       "      <td>68</td>\n",
       "      <td>415</td>\n",
       "      <td>370-3271</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>231.1</td>\n",
       "      <td>57</td>\n",
       "      <td>39.29</td>\n",
       "      <td>153.4</td>\n",
       "      <td>55</td>\n",
       "      <td>13.04</td>\n",
       "      <td>191.3</td>\n",
       "      <td>123</td>\n",
       "      <td>8.61</td>\n",
       "      <td>9.6</td>\n",
       "      <td>4</td>\n",
       "      <td>2.59</td>\n",
       "      <td>3</td>\n",
       "      <td>False.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3330</th>\n",
       "      <td>RI</td>\n",
       "      <td>28</td>\n",
       "      <td>510</td>\n",
       "      <td>328-8230</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>180.8</td>\n",
       "      <td>109</td>\n",
       "      <td>30.74</td>\n",
       "      <td>288.8</td>\n",
       "      <td>58</td>\n",
       "      <td>24.55</td>\n",
       "      <td>191.9</td>\n",
       "      <td>91</td>\n",
       "      <td>8.64</td>\n",
       "      <td>14.1</td>\n",
       "      <td>6</td>\n",
       "      <td>3.81</td>\n",
       "      <td>2</td>\n",
       "      <td>False.</td>\n",
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       "    <tr>\n",
       "      <th>3331</th>\n",
       "      <td>CT</td>\n",
       "      <td>184</td>\n",
       "      <td>510</td>\n",
       "      <td>364-6381</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>213.8</td>\n",
       "      <td>105</td>\n",
       "      <td>36.35</td>\n",
       "      <td>159.6</td>\n",
       "      <td>84</td>\n",
       "      <td>13.57</td>\n",
       "      <td>139.2</td>\n",
       "      <td>137</td>\n",
       "      <td>6.26</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2</td>\n",
       "      <td>False.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3332</th>\n",
       "      <td>TN</td>\n",
       "      <td>74</td>\n",
       "      <td>415</td>\n",
       "      <td>400-4344</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>25</td>\n",
       "      <td>234.4</td>\n",
       "      <td>113</td>\n",
       "      <td>39.85</td>\n",
       "      <td>265.9</td>\n",
       "      <td>82</td>\n",
       "      <td>22.60</td>\n",
       "      <td>241.4</td>\n",
       "      <td>77</td>\n",
       "      <td>10.86</td>\n",
       "      <td>13.7</td>\n",
       "      <td>4</td>\n",
       "      <td>3.70</td>\n",
       "      <td>0</td>\n",
       "      <td>False.</td>\n",
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       "<p>3333 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     State  Account Length  Area Code     Phone Int'l Plan VMail Plan  \\\n",
       "0       KS             128        415  382-4657         no        yes   \n",
       "1       OH             107        415  371-7191         no        yes   \n",
       "2       NJ             137        415  358-1921         no         no   \n",
       "3       OH              84        408  375-9999        yes         no   \n",
       "4       OK              75        415  330-6626        yes         no   \n",
       "...    ...             ...        ...       ...        ...        ...   \n",
       "3328    AZ             192        415  414-4276         no        yes   \n",
       "3329    WV              68        415  370-3271         no         no   \n",
       "3330    RI              28        510  328-8230         no         no   \n",
       "3331    CT             184        510  364-6381        yes         no   \n",
       "3332    TN              74        415  400-4344         no        yes   \n",
       "\n",
       "      VMail Message  Day Mins  Day Calls  Day Charge  Eve Mins  Eve Calls  \\\n",
       "0                25     265.1        110       45.07     197.4         99   \n",
       "1                26     161.6        123       27.47     195.5        103   \n",
       "2                 0     243.4        114       41.38     121.2        110   \n",
       "3                 0     299.4         71       50.90      61.9         88   \n",
       "4                 0     166.7        113       28.34     148.3        122   \n",
       "...             ...       ...        ...         ...       ...        ...   \n",
       "3328             36     156.2         77       26.55     215.5        126   \n",
       "3329              0     231.1         57       39.29     153.4         55   \n",
       "3330              0     180.8        109       30.74     288.8         58   \n",
       "3331              0     213.8        105       36.35     159.6         84   \n",
       "3332             25     234.4        113       39.85     265.9         82   \n",
       "\n",
       "      Eve Charge  Night Mins  Night Calls  Night Charge  Intl Mins  \\\n",
       "0          16.78       244.7           91         11.01       10.0   \n",
       "1          16.62       254.4          103         11.45       13.7   \n",
       "2          10.30       162.6          104          7.32       12.2   \n",
       "3           5.26       196.9           89          8.86        6.6   \n",
       "4          12.61       186.9          121          8.41       10.1   \n",
       "...          ...         ...          ...           ...        ...   \n",
       "3328       18.32       279.1           83         12.56        9.9   \n",
       "3329       13.04       191.3          123          8.61        9.6   \n",
       "3330       24.55       191.9           91          8.64       14.1   \n",
       "3331       13.57       139.2          137          6.26        5.0   \n",
       "3332       22.60       241.4           77         10.86       13.7   \n",
       "\n",
       "      Intl Calls  Intl Charge  CustServ Calls  Churn?  \n",
       "0              3         2.70               1  False.  \n",
       "1              3         3.70               1  False.  \n",
       "2              5         3.29               0  False.  \n",
       "3              7         1.78               2  False.  \n",
       "4              3         2.73               3  False.  \n",
       "...          ...          ...             ...     ...  \n",
       "3328           6         2.67               2  False.  \n",
       "3329           4         2.59               3  False.  \n",
       "3330           6         3.81               2  False.  \n",
       "3331          10         1.35               2  False.  \n",
       "3332           4         3.70               0  False.  \n",
       "\n",
       "[3333 rows x 21 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "churn = pd.read_csv('./data/churn.txt')\n",
    "pd.set_option('display.max_columns', 500)\n",
    "churn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### The last attribute, Churn?, is known as the target attribute–the attribute that we want the ML model to predict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. EDA and Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <th>col_0</th>\n",
       "      <th>% observations</th>\n",
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       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AK</th>\n",
       "      <td>0.015602</td>\n",
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       "      <th>AL</th>\n",
       "      <td>0.024002</td>\n",
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       "      <th>AR</th>\n",
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       "      <th>CA</th>\n",
       "      <td>0.010201</td>\n",
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       "      <td>0.019802</td>\n",
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       "      <th>GA</th>\n",
       "      <td>0.016202</td>\n",
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       "      <th>HI</th>\n",
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       "      <th>KS</th>\n",
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       "      <th>KY</th>\n",
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       "      <td>0.018602</td>\n",
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       "      <td>0.016802</td>\n",
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       "      <th>NV</th>\n",
       "      <td>0.019802</td>\n",
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       "      <th>NY</th>\n",
       "      <td>0.024902</td>\n",
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       "      <th>OH</th>\n",
       "      <td>0.023402</td>\n",
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       "      <th>OK</th>\n",
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       "      <th>OR</th>\n",
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       "      <td>0.015902</td>\n",
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       "      <td>0.031803</td>\n",
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       "      <th>WY</th>\n",
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       "col_0  % observations\n",
       "State                \n",
       "AK           0.015602\n",
       "AL           0.024002\n",
       "AR           0.016502\n",
       "AZ           0.019202\n",
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       "      <td>101.064806</td>\n",
       "      <td>437.182418</td>\n",
       "      <td>8.099010</td>\n",
       "      <td>179.775098</td>\n",
       "      <td>100.435644</td>\n",
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       "      <td>10.237294</td>\n",
       "      <td>4.479448</td>\n",
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       "      <td>1.562856</td>\n",
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       "      <td>13.688365</td>\n",
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       "      <td>2.461214</td>\n",
       "      <td>0.753773</td>\n",
       "      <td>1.315491</td>\n",
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       "      <th>min</th>\n",
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       "      <td>408.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>23.200000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>1.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>74.000000</td>\n",
       "      <td>408.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>143.700000</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>24.430000</td>\n",
       "      <td>166.600000</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>14.160000</td>\n",
       "      <td>167.000000</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>7.520000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>101.000000</td>\n",
       "      <td>415.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>179.400000</td>\n",
       "      <td>101.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>201.400000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>17.120000</td>\n",
       "      <td>201.200000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>9.050000</td>\n",
       "      <td>10.300000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.780000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>127.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>216.400000</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>36.790000</td>\n",
       "      <td>235.300000</td>\n",
       "      <td>114.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>235.300000</td>\n",
       "      <td>113.000000</td>\n",
       "      <td>10.590000</td>\n",
       "      <td>12.100000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.270000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>243.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>350.800000</td>\n",
       "      <td>165.000000</td>\n",
       "      <td>59.640000</td>\n",
       "      <td>363.700000</td>\n",
       "      <td>170.000000</td>\n",
       "      <td>30.910000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>175.000000</td>\n",
       "      <td>17.770000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Account Length    Area Code  VMail Message     Day Mins    Day Calls  \\\n",
       "count     3333.000000  3333.000000    3333.000000  3333.000000  3333.000000   \n",
       "mean       101.064806   437.182418       8.099010   179.775098   100.435644   \n",
       "std         39.822106    42.371290      13.688365    54.467389    20.069084   \n",
       "min          1.000000   408.000000       0.000000     0.000000     0.000000   \n",
       "25%         74.000000   408.000000       0.000000   143.700000    87.000000   \n",
       "50%        101.000000   415.000000       0.000000   179.400000   101.000000   \n",
       "75%        127.000000   510.000000      20.000000   216.400000   114.000000   \n",
       "max        243.000000   510.000000      51.000000   350.800000   165.000000   \n",
       "\n",
       "        Day Charge     Eve Mins    Eve Calls   Eve Charge   Night Mins  \\\n",
       "count  3333.000000  3333.000000  3333.000000  3333.000000  3333.000000   \n",
       "mean     30.562307   200.980348   100.114311    17.083540   200.872037   \n",
       "std       9.259435    50.713844    19.922625     4.310668    50.573847   \n",
       "min       0.000000     0.000000     0.000000     0.000000    23.200000   \n",
       "25%      24.430000   166.600000    87.000000    14.160000   167.000000   \n",
       "50%      30.500000   201.400000   100.000000    17.120000   201.200000   \n",
       "75%      36.790000   235.300000   114.000000    20.000000   235.300000   \n",
       "max      59.640000   363.700000   170.000000    30.910000   395.000000   \n",
       "\n",
       "       Night Calls  Night Charge    Intl Mins   Intl Calls  Intl Charge  \\\n",
       "count  3333.000000   3333.000000  3333.000000  3333.000000  3333.000000   \n",
       "mean    100.107711      9.039325    10.237294     4.479448     2.764581   \n",
       "std      19.568609      2.275873     2.791840     2.461214     0.753773   \n",
       "min      33.000000      1.040000     0.000000     0.000000     0.000000   \n",
       "25%      87.000000      7.520000     8.500000     3.000000     2.300000   \n",
       "50%     100.000000      9.050000    10.300000     4.000000     2.780000   \n",
       "75%     113.000000     10.590000    12.100000     6.000000     3.270000   \n",
       "max     175.000000     17.770000    20.000000    20.000000     5.400000   \n",
       "\n",
       "       CustServ Calls  \n",
       "count     3333.000000  \n",
       "mean         1.562856  \n",
       "std          1.315491  \n",
       "min          0.000000  \n",
       "25%          1.000000  \n",
       "50%          1.000000  \n",
       "75%          2.000000  \n",
       "max          9.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Frequency tables for each categorical feature\n",
    "for column in churn.select_dtypes(include=['object']).columns:\n",
    "    display(pd.crosstab(index=churn[column], columns='% observations', normalize='columns'))\n",
    "\n",
    "# Histograms for each numeric features\n",
    "display(churn.describe())\n",
    "\n",
    "hist = churn.hist(bins=30, sharey=True, figsize=(10, 10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Things that could be found:\n",
    "- 'State' appears to be quite evenly distributed \\\n",
    "\n",
    "- 'Phone' takes on too many unique values to be of any practical use. It's possible parsing out the prefix could have some value, but without more context on how these are allocated, we should avoid using it \\\n",
    "\n",
    "- Only **14%** of customers churned, so there is some class imabalance, but nothing extreme \\\n",
    "\n",
    "- Most of the numeric features are quite well distributed, with many showing bell-like gaussianity. VMail Message being a notable exception (and Area Code showing up as a feature we should convert to non-numeric)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "churn = churn.drop('Phone', axis=1)\n",
    "churn['Area Code'] = churn['Area Code'].astype(object)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Next let's look at the Correlation between each of the features and our target."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Churn?</th>\n",
       "      <th>False.</th>\n",
       "      <th>True.</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AK</th>\n",
       "      <td>0.017193</td>\n",
       "      <td>0.006211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>0.025263</td>\n",
       "      <td>0.016563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AR</th>\n",
       "      <td>0.015439</td>\n",
       "      <td>0.022774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AZ</th>\n",
       "      <td>0.021053</td>\n",
       "      <td>0.008282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>0.008772</td>\n",
       "      <td>0.018634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CO</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.018634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CT</th>\n",
       "      <td>0.021754</td>\n",
       "      <td>0.024845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DC</th>\n",
       "      <td>0.017193</td>\n",
       "      <td>0.010352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DE</th>\n",
       "      <td>0.018246</td>\n",
       "      <td>0.018634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FL</th>\n",
       "      <td>0.019298</td>\n",
       "      <td>0.016563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GA</th>\n",
       "      <td>0.016140</td>\n",
       "      <td>0.016563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HI</th>\n",
       "      <td>0.017544</td>\n",
       "      <td>0.006211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IA</th>\n",
       "      <td>0.014386</td>\n",
       "      <td>0.006211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <td>0.022456</td>\n",
       "      <td>0.018634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IL</th>\n",
       "      <td>0.018596</td>\n",
       "      <td>0.010352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IN</th>\n",
       "      <td>0.021754</td>\n",
       "      <td>0.018634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KS</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.026915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KY</th>\n",
       "      <td>0.017895</td>\n",
       "      <td>0.016563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LA</th>\n",
       "      <td>0.016491</td>\n",
       "      <td>0.008282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>0.018947</td>\n",
       "      <td>0.022774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MD</th>\n",
       "      <td>0.018596</td>\n",
       "      <td>0.035197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ME</th>\n",
       "      <td>0.017193</td>\n",
       "      <td>0.026915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MI</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.033126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MN</th>\n",
       "      <td>0.024211</td>\n",
       "      <td>0.031056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO</th>\n",
       "      <td>0.019649</td>\n",
       "      <td>0.014493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MS</th>\n",
       "      <td>0.017895</td>\n",
       "      <td>0.028986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT</th>\n",
       "      <td>0.018947</td>\n",
       "      <td>0.028986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NC</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.022774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ND</th>\n",
       "      <td>0.019649</td>\n",
       "      <td>0.012422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NE</th>\n",
       "      <td>0.019649</td>\n",
       "      <td>0.010352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NH</th>\n",
       "      <td>0.016491</td>\n",
       "      <td>0.018634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NJ</th>\n",
       "      <td>0.017544</td>\n",
       "      <td>0.037267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NM</th>\n",
       "      <td>0.019649</td>\n",
       "      <td>0.012422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NV</th>\n",
       "      <td>0.018246</td>\n",
       "      <td>0.028986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NY</th>\n",
       "      <td>0.023860</td>\n",
       "      <td>0.031056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OH</th>\n",
       "      <td>0.023860</td>\n",
       "      <td>0.020704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OK</th>\n",
       "      <td>0.018246</td>\n",
       "      <td>0.018634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OR</th>\n",
       "      <td>0.023509</td>\n",
       "      <td>0.022774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PA</th>\n",
       "      <td>0.012982</td>\n",
       "      <td>0.016563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RI</th>\n",
       "      <td>0.020702</td>\n",
       "      <td>0.012422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>0.016140</td>\n",
       "      <td>0.028986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SD</th>\n",
       "      <td>0.018246</td>\n",
       "      <td>0.016563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN</th>\n",
       "      <td>0.016842</td>\n",
       "      <td>0.010352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TX</th>\n",
       "      <td>0.018947</td>\n",
       "      <td>0.037267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UT</th>\n",
       "      <td>0.021754</td>\n",
       "      <td>0.020704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VA</th>\n",
       "      <td>0.025263</td>\n",
       "      <td>0.010352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VT</th>\n",
       "      <td>0.022807</td>\n",
       "      <td>0.016563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WA</th>\n",
       "      <td>0.018246</td>\n",
       "      <td>0.028986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WI</th>\n",
       "      <td>0.024912</td>\n",
       "      <td>0.014493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WV</th>\n",
       "      <td>0.033684</td>\n",
       "      <td>0.020704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WY</th>\n",
       "      <td>0.023860</td>\n",
       "      <td>0.018634</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "Churn?    False.     True.\n",
       "State                     \n",
       "AK      0.017193  0.006211\n",
       "AL      0.025263  0.016563\n",
       "AR      0.015439  0.022774\n",
       "AZ      0.021053  0.008282\n",
       "CA      0.008772  0.018634\n",
       "CO      0.020000  0.018634\n",
       "CT      0.021754  0.024845\n",
       "DC      0.017193  0.010352\n",
       "DE      0.018246  0.018634\n",
       "FL      0.019298  0.016563\n",
       "GA      0.016140  0.016563\n",
       "HI      0.017544  0.006211\n",
       "IA      0.014386  0.006211\n",
       "ID      0.022456  0.018634\n",
       "IL      0.018596  0.010352\n",
       "IN      0.021754  0.018634\n",
       "KS      0.020000  0.026915\n",
       "KY      0.017895  0.016563\n",
       "LA      0.016491  0.008282\n",
       "MA      0.018947  0.022774\n",
       "MD      0.018596  0.035197\n",
       "ME      0.017193  0.026915\n",
       "MI      0.020000  0.033126\n",
       "MN      0.024211  0.031056\n",
       "MO      0.019649  0.014493\n",
       "MS      0.017895  0.028986\n",
       "MT      0.018947  0.028986\n",
       "NC      0.020000  0.022774\n",
       "ND      0.019649  0.012422\n",
       "NE      0.019649  0.010352\n",
       "NH      0.016491  0.018634\n",
       "NJ      0.017544  0.037267\n",
       "NM      0.019649  0.012422\n",
       "NV      0.018246  0.028986\n",
       "NY      0.023860  0.031056\n",
       "OH      0.023860  0.020704\n",
       "OK      0.018246  0.018634\n",
       "OR      0.023509  0.022774\n",
       "PA      0.012982  0.016563\n",
       "RI      0.020702  0.012422\n",
       "SC      0.016140  0.028986\n",
       "SD      0.018246  0.016563\n",
       "TN      0.016842  0.010352\n",
       "TX      0.018947  0.037267\n",
       "UT      0.021754  0.020704\n",
       "VA      0.025263  0.010352\n",
       "VT      0.022807  0.016563\n",
       "WA      0.018246  0.028986\n",
       "WI      0.024912  0.014493\n",
       "WV      0.033684  0.020704\n",
       "WY      0.023860  0.018634"
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       "Churn?       False.     True.\n",
       "Area Code                    \n",
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       "      <th>False.</th>\n",
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       "Churn?        False.     True.\n",
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       "      <th>Churn?</th>\n",
       "      <th>False.</th>\n",
       "      <th>True.</th>\n",
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       "      <th>VMail Plan</th>\n",
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       "Churn?        False.     True.\n",
       "VMail Plan                    \n",
       "no          0.704561  0.834369\n",
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     "text": [
      "Account Length\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "VMail Message\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Day Mins\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Day Calls\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Day Charge\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Eve Mins\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Eve Calls\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Eve Charge\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Night Mins\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Night Calls\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Night Charge\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Intl Mins\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Intl Calls\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Intl Charge\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CustServ Calls\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for column in churn.select_dtypes(include=['object']).columns:\n",
    "    if column != 'Churn?':\n",
    "        display(pd.crosstab(index=churn[column], columns=churn['Churn?'], normalize='columns'))\n",
    "\n",
    "for column in churn.select_dtypes(exclude=['object']).columns:\n",
    "    print(column)\n",
    "    hist = churn[[column, 'Churn?']].hist(by='Churn?', bins=30)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interestingly we see that churners appear:\n",
    "\n",
    "- Fairly evenly distributed geographically \\\n",
    "\n",
    "- More likely to have an international plan \\\n",
    "\n",
    "- Less likely to have a voicemail plan \\\n",
    "\n",
    "- To exhibit some bimodality in daily minutes (either higher or lower than the average for non-churners) \\\n",
    "\n",
    "- To have a larger number of customer service calls (which makes sense as we'd expect customers who experience lots of problems may be more likely to churn)\n",
    "\n",
    "In addition, we see that churners take on very similar distributions for features like Day Mins and Day Charge. That's not surprising as we'd expect minutes spent talking to correlate with charges. Let's dig deeper into the relationships between our features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "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>Account Length</th>\n",
       "      <th>VMail Message</th>\n",
       "      <th>Day Mins</th>\n",
       "      <th>Day Calls</th>\n",
       "      <th>Day Charge</th>\n",
       "      <th>Eve Mins</th>\n",
       "      <th>Eve Calls</th>\n",
       "      <th>Eve Charge</th>\n",
       "      <th>Night Mins</th>\n",
       "      <th>Night Calls</th>\n",
       "      <th>Night Charge</th>\n",
       "      <th>Intl Mins</th>\n",
       "      <th>Intl Calls</th>\n",
       "      <th>Intl Charge</th>\n",
       "      <th>CustServ Calls</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Account Length</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.006216</td>\n",
       "      <td>0.038470</td>\n",
       "      <td>0.006214</td>\n",
       "      <td>-0.006757</td>\n",
       "      <td>0.019260</td>\n",
       "      <td>-0.006745</td>\n",
       "      <td>-0.008955</td>\n",
       "      <td>-0.013176</td>\n",
       "      <td>-0.008960</td>\n",
       "      <td>0.009514</td>\n",
       "      <td>0.020661</td>\n",
       "      <td>0.009546</td>\n",
       "      <td>-0.003796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VMail Message</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000778</td>\n",
       "      <td>-0.009548</td>\n",
       "      <td>0.000776</td>\n",
       "      <td>0.017562</td>\n",
       "      <td>-0.005864</td>\n",
       "      <td>0.017578</td>\n",
       "      <td>0.007681</td>\n",
       "      <td>0.007123</td>\n",
       "      <td>0.007663</td>\n",
       "      <td>0.002856</td>\n",
       "      <td>0.013957</td>\n",
       "      <td>0.002884</td>\n",
       "      <td>-0.013263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day Mins</th>\n",
       "      <td>0.006216</td>\n",
       "      <td>0.000778</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.006750</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.007043</td>\n",
       "      <td>0.015769</td>\n",
       "      <td>0.007029</td>\n",
       "      <td>0.004323</td>\n",
       "      <td>0.022972</td>\n",
       "      <td>0.004300</td>\n",
       "      <td>-0.010155</td>\n",
       "      <td>0.008033</td>\n",
       "      <td>-0.010092</td>\n",
       "      <td>-0.013423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day Calls</th>\n",
       "      <td>0.038470</td>\n",
       "      <td>-0.009548</td>\n",
       "      <td>0.006750</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.006753</td>\n",
       "      <td>-0.021451</td>\n",
       "      <td>0.006462</td>\n",
       "      <td>-0.021449</td>\n",
       "      <td>0.022938</td>\n",
       "      <td>-0.019557</td>\n",
       "      <td>0.022927</td>\n",
       "      <td>0.021565</td>\n",
       "      <td>0.004574</td>\n",
       "      <td>0.021666</td>\n",
       "      <td>-0.018942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day Charge</th>\n",
       "      <td>0.006214</td>\n",
       "      <td>0.000776</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.006753</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.007050</td>\n",
       "      <td>0.015769</td>\n",
       "      <td>0.007036</td>\n",
       "      <td>0.004324</td>\n",
       "      <td>0.022972</td>\n",
       "      <td>0.004301</td>\n",
       "      <td>-0.010157</td>\n",
       "      <td>0.008032</td>\n",
       "      <td>-0.010094</td>\n",
       "      <td>-0.013427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eve Mins</th>\n",
       "      <td>-0.006757</td>\n",
       "      <td>0.017562</td>\n",
       "      <td>0.007043</td>\n",
       "      <td>-0.021451</td>\n",
       "      <td>0.007050</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.012584</td>\n",
       "      <td>0.007586</td>\n",
       "      <td>-0.012593</td>\n",
       "      <td>-0.011035</td>\n",
       "      <td>0.002541</td>\n",
       "      <td>-0.011067</td>\n",
       "      <td>-0.012985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eve Calls</th>\n",
       "      <td>0.019260</td>\n",
       "      <td>-0.005864</td>\n",
       "      <td>0.015769</td>\n",
       "      <td>0.006462</td>\n",
       "      <td>0.015769</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.011423</td>\n",
       "      <td>-0.002093</td>\n",
       "      <td>0.007710</td>\n",
       "      <td>-0.002056</td>\n",
       "      <td>0.008703</td>\n",
       "      <td>0.017434</td>\n",
       "      <td>0.008674</td>\n",
       "      <td>0.002423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eve Charge</th>\n",
       "      <td>-0.006745</td>\n",
       "      <td>0.017578</td>\n",
       "      <td>0.007029</td>\n",
       "      <td>-0.021449</td>\n",
       "      <td>0.007036</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.011423</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.012592</td>\n",
       "      <td>0.007596</td>\n",
       "      <td>-0.012601</td>\n",
       "      <td>-0.011043</td>\n",
       "      <td>0.002541</td>\n",
       "      <td>-0.011074</td>\n",
       "      <td>-0.012987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Night Mins</th>\n",
       "      <td>-0.008955</td>\n",
       "      <td>0.007681</td>\n",
       "      <td>0.004323</td>\n",
       "      <td>0.022938</td>\n",
       "      <td>0.004324</td>\n",
       "      <td>-0.012584</td>\n",
       "      <td>-0.002093</td>\n",
       "      <td>-0.012592</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.011204</td>\n",
       "      <td>0.999999</td>\n",
       "      <td>-0.015207</td>\n",
       "      <td>-0.012353</td>\n",
       "      <td>-0.015180</td>\n",
       "      <td>-0.009288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Night Calls</th>\n",
       "      <td>-0.013176</td>\n",
       "      <td>0.007123</td>\n",
       "      <td>0.022972</td>\n",
       "      <td>-0.019557</td>\n",
       "      <td>0.022972</td>\n",
       "      <td>0.007586</td>\n",
       "      <td>0.007710</td>\n",
       "      <td>0.007596</td>\n",
       "      <td>0.011204</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.011188</td>\n",
       "      <td>-0.013605</td>\n",
       "      <td>0.000305</td>\n",
       "      <td>-0.013630</td>\n",
       "      <td>-0.012802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Night Charge</th>\n",
       "      <td>-0.008960</td>\n",
       "      <td>0.007663</td>\n",
       "      <td>0.004300</td>\n",
       "      <td>0.022927</td>\n",
       "      <td>0.004301</td>\n",
       "      <td>-0.012593</td>\n",
       "      <td>-0.002056</td>\n",
       "      <td>-0.012601</td>\n",
       "      <td>0.999999</td>\n",
       "      <td>0.011188</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.015214</td>\n",
       "      <td>-0.012329</td>\n",
       "      <td>-0.015186</td>\n",
       "      <td>-0.009277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Intl Mins</th>\n",
       "      <td>0.009514</td>\n",
       "      <td>0.002856</td>\n",
       "      <td>-0.010155</td>\n",
       "      <td>0.021565</td>\n",
       "      <td>-0.010157</td>\n",
       "      <td>-0.011035</td>\n",
       "      <td>0.008703</td>\n",
       "      <td>-0.011043</td>\n",
       "      <td>-0.015207</td>\n",
       "      <td>-0.013605</td>\n",
       "      <td>-0.015214</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.032304</td>\n",
       "      <td>0.999993</td>\n",
       "      <td>-0.009640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Intl Calls</th>\n",
       "      <td>0.020661</td>\n",
       "      <td>0.013957</td>\n",
       "      <td>0.008033</td>\n",
       "      <td>0.004574</td>\n",
       "      <td>0.008032</td>\n",
       "      <td>0.002541</td>\n",
       "      <td>0.017434</td>\n",
       "      <td>0.002541</td>\n",
       "      <td>-0.012353</td>\n",
       "      <td>0.000305</td>\n",
       "      <td>-0.012329</td>\n",
       "      <td>0.032304</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.032372</td>\n",
       "      <td>-0.017561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Intl Charge</th>\n",
       "      <td>0.009546</td>\n",
       "      <td>0.002884</td>\n",
       "      <td>-0.010092</td>\n",
       "      <td>0.021666</td>\n",
       "      <td>-0.010094</td>\n",
       "      <td>-0.011067</td>\n",
       "      <td>0.008674</td>\n",
       "      <td>-0.011074</td>\n",
       "      <td>-0.015180</td>\n",
       "      <td>-0.013630</td>\n",
       "      <td>-0.015186</td>\n",
       "      <td>0.999993</td>\n",
       "      <td>0.032372</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.009675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CustServ Calls</th>\n",
       "      <td>-0.003796</td>\n",
       "      <td>-0.013263</td>\n",
       "      <td>-0.013423</td>\n",
       "      <td>-0.018942</td>\n",
       "      <td>-0.013427</td>\n",
       "      <td>-0.012985</td>\n",
       "      <td>0.002423</td>\n",
       "      <td>-0.012987</td>\n",
       "      <td>-0.009288</td>\n",
       "      <td>-0.012802</td>\n",
       "      <td>-0.009277</td>\n",
       "      <td>-0.009640</td>\n",
       "      <td>-0.017561</td>\n",
       "      <td>-0.009675</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Account Length  VMail Message  Day Mins  Day Calls  \\\n",
       "Account Length        1.000000      -0.004628  0.006216   0.038470   \n",
       "VMail Message        -0.004628       1.000000  0.000778  -0.009548   \n",
       "Day Mins              0.006216       0.000778  1.000000   0.006750   \n",
       "Day Calls             0.038470      -0.009548  0.006750   1.000000   \n",
       "Day Charge            0.006214       0.000776  1.000000   0.006753   \n",
       "Eve Mins             -0.006757       0.017562  0.007043  -0.021451   \n",
       "Eve Calls             0.019260      -0.005864  0.015769   0.006462   \n",
       "Eve Charge           -0.006745       0.017578  0.007029  -0.021449   \n",
       "Night Mins           -0.008955       0.007681  0.004323   0.022938   \n",
       "Night Calls          -0.013176       0.007123  0.022972  -0.019557   \n",
       "Night Charge         -0.008960       0.007663  0.004300   0.022927   \n",
       "Intl Mins             0.009514       0.002856 -0.010155   0.021565   \n",
       "Intl Calls            0.020661       0.013957  0.008033   0.004574   \n",
       "Intl Charge           0.009546       0.002884 -0.010092   0.021666   \n",
       "CustServ Calls       -0.003796      -0.013263 -0.013423  -0.018942   \n",
       "\n",
       "                Day Charge  Eve Mins  Eve Calls  Eve Charge  Night Mins  \\\n",
       "Account Length    0.006214 -0.006757   0.019260   -0.006745   -0.008955   \n",
       "VMail Message     0.000776  0.017562  -0.005864    0.017578    0.007681   \n",
       "Day Mins          1.000000  0.007043   0.015769    0.007029    0.004323   \n",
       "Day Calls         0.006753 -0.021451   0.006462   -0.021449    0.022938   \n",
       "Day Charge        1.000000  0.007050   0.015769    0.007036    0.004324   \n",
       "Eve Mins          0.007050  1.000000  -0.011430    1.000000   -0.012584   \n",
       "Eve Calls         0.015769 -0.011430   1.000000   -0.011423   -0.002093   \n",
       "Eve Charge        0.007036  1.000000  -0.011423    1.000000   -0.012592   \n",
       "Night Mins        0.004324 -0.012584  -0.002093   -0.012592    1.000000   \n",
       "Night Calls       0.022972  0.007586   0.007710    0.007596    0.011204   \n",
       "Night Charge      0.004301 -0.012593  -0.002056   -0.012601    0.999999   \n",
       "Intl Mins        -0.010157 -0.011035   0.008703   -0.011043   -0.015207   \n",
       "Intl Calls        0.008032  0.002541   0.017434    0.002541   -0.012353   \n",
       "Intl Charge      -0.010094 -0.011067   0.008674   -0.011074   -0.015180   \n",
       "CustServ Calls   -0.013427 -0.012985   0.002423   -0.012987   -0.009288   \n",
       "\n",
       "                Night Calls  Night Charge  Intl Mins  Intl Calls  Intl Charge  \\\n",
       "Account Length    -0.013176     -0.008960   0.009514    0.020661     0.009546   \n",
       "VMail Message      0.007123      0.007663   0.002856    0.013957     0.002884   \n",
       "Day Mins           0.022972      0.004300  -0.010155    0.008033    -0.010092   \n",
       "Day Calls         -0.019557      0.022927   0.021565    0.004574     0.021666   \n",
       "Day Charge         0.022972      0.004301  -0.010157    0.008032    -0.010094   \n",
       "Eve Mins           0.007586     -0.012593  -0.011035    0.002541    -0.011067   \n",
       "Eve Calls          0.007710     -0.002056   0.008703    0.017434     0.008674   \n",
       "Eve Charge         0.007596     -0.012601  -0.011043    0.002541    -0.011074   \n",
       "Night Mins         0.011204      0.999999  -0.015207   -0.012353    -0.015180   \n",
       "Night Calls        1.000000      0.011188  -0.013605    0.000305    -0.013630   \n",
       "Night Charge       0.011188      1.000000  -0.015214   -0.012329    -0.015186   \n",
       "Intl Mins         -0.013605     -0.015214   1.000000    0.032304     0.999993   \n",
       "Intl Calls         0.000305     -0.012329   0.032304    1.000000     0.032372   \n",
       "Intl Charge       -0.013630     -0.015186   0.999993    0.032372     1.000000   \n",
       "CustServ Calls    -0.012802     -0.009277  -0.009640   -0.017561    -0.009675   \n",
       "\n",
       "                CustServ Calls  \n",
       "Account Length       -0.003796  \n",
       "VMail Message        -0.013263  \n",
       "Day Mins             -0.013423  \n",
       "Day Calls            -0.018942  \n",
       "Day Charge           -0.013427  \n",
       "Eve Mins             -0.012985  \n",
       "Eve Calls             0.002423  \n",
       "Eve Charge           -0.012987  \n",
       "Night Mins           -0.009288  \n",
       "Night Calls          -0.012802  \n",
       "Night Charge         -0.009277  \n",
       "Intl Mins            -0.009640  \n",
       "Intl Calls           -0.017561  \n",
       "Intl Charge          -0.009675  \n",
       "CustServ Calls        1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 225 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(churn.corr())\n",
    "pd.plotting.scatter_matrix(churn, figsize=(12, 12))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove one feature from each of the highly correlated pairs\n",
    "churn = churn.drop(['Day Charge', 'Eve Charge', 'Night Charge', 'Intl Charge'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we've cleaned up our dataset, let's determine which algorithm to use. As mentioned above, there appear to be some variables where both high and low (but not intermediate) values are predictive of churn. In order to accommodate this in an algorithm like linear regression, we'd need to generate polynomial (or bucketed) terms. Instead, let's attempt to model this problem using gradient boosted trees. Amazon SageMaker provides an XGBoost container that we can use to train in a managed, distributed setting, and then host as a real-time prediction endpoint. XGBoost uses gradient boosted trees which naturally account for non-linear relationships between features and the target variable, as well as accommodating complex interactions between features.\n",
    "\n",
    "Amazon SageMaker XGBoost can train on data in either a CSV or LibSVM format. For this example, we'll stick with CSV. It should:\n",
    "\n",
    "- Have the predictor variable in the first column \\\n",
    "- Not have a header row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert our categorical features into numeric features.\n",
    "model_data = pd.get_dummies(churn)\n",
    "model_data = pd.concat([model_data['Churn?_True.'], model_data.drop(['Churn?_False.', 'Churn?_True.'], axis=1)], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Train/Valid/Test split\n",
    "train_data, validation_data, test_data = np.split(model_data.sample(frac=1, random_state=1729), [int(0.7 * len(model_data)), int(0.9 * len(model_data))])\n",
    "train_data.to_csv('train.csv', header=False, index=False)\n",
    "validation_data.to_csv('validation.csv', header=False, index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Upload dataset to S3 Bucket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_channel = prefix + '/train'\n",
    "validation_channel = prefix + '/validation'\n",
    "\n",
    "sess.upload_data(path='train.csv', bucket=bucket, key_prefix=train_channel)\n",
    "sess.upload_data(path='validation.csv', bucket=bucket, key_prefix=validation_channel)\n",
    "\n",
    "s3_train_data = 's3://{}/{}'.format(bucket, train_channel)\n",
    "s3_validation_data = 's3://{}/{}'.format(bucket, validation_channel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:sagemaker:'s3_input' class will be renamed to 'TrainingInput' in SageMaker Python SDK v2.\n",
      "WARNING:sagemaker:'s3_input' class will be renamed to 'TrainingInput' in SageMaker Python SDK v2.\n"
     ]
    }
   ],
   "source": [
    "train_data = sagemaker.session.s3_input(s3_train_data, content_type='csv')\n",
    "validation_data = sagemaker.session.s3_input(s3_validation_data, content_type='csv')\n",
    "\n",
    "data_channels = {'train': train_data, 'validation': validation_data}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Create a Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we're training with the CSV file format, we'll create s3_inputs that our training function can use as a pointer to the files in S3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:Parameter image_name will be renamed to image_uri in SageMaker Python SDK v2.\n"
     ]
    }
   ],
   "source": [
    "xgb = sagemaker.estimator.Estimator(container,\n",
    "                                    role, \n",
    "                                    train_instance_count=1, \n",
    "                                    train_instance_type='ml.m4.xlarge',\n",
    "                                    output_path='s3://{}/{}/output'.format(bucket, prefix),\n",
    "                                    sagemaker_session=sess)\n",
    "xgb.set_hyperparameters(max_depth=5,\n",
    "                        eta=0.2, # Learning Rate\n",
    "                        gamma=4, # controls how aggressively trees are grown. Larger values lead to more conservative models\n",
    "                        min_child_weight=6,\n",
    "                        subsample=0.8,\n",
    "                        silent=0,\n",
    "                        objective='binary:logistic',\n",
    "                        num_round=100) # more rounds should produce a better fit on the training data, but can be computationally expensive or lead to overfitting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6. Start Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-07-13 05:44:00 Starting - Starting the training job...\n",
      "2020-07-13 05:44:02 Starting - Launching requested ML instances......\n",
      "2020-07-13 05:45:12 Starting - Preparing the instances for training......\n",
      "2020-07-13 05:46:30 Downloading - Downloading input data...\n",
      "2020-07-13 05:47:03 Training - Downloading the training image...\n",
      "2020-07-13 05:47:35 Uploading - Uploading generated training model\u001b[34mArguments: train\u001b[0m\n",
      "\u001b[34m[2020-07-13:05:47:30:INFO] Running standalone xgboost training.\u001b[0m\n",
      "\u001b[34m[2020-07-13:05:47:30:INFO] File size need to be processed in the node: 0.46mb. Available memory size in the node: 8488.54mb\u001b[0m\n",
      "\u001b[34m[2020-07-13:05:47:30:INFO] Determined delimiter of CSV input is ','\u001b[0m\n",
      "\u001b[34m[05:47:30] S3DistributionType set as FullyReplicated\u001b[0m\n",
      "\u001b[34m[05:47:30] 2333x69 matrix with 160977 entries loaded from /opt/ml/input/data/train?format=csv&label_column=0&delimiter=,\u001b[0m\n",
      "\u001b[34m[2020-07-13:05:47:30:INFO] Determined delimiter of CSV input is ','\u001b[0m\n",
      "\u001b[34m[05:47:30] S3DistributionType set as FullyReplicated\u001b[0m\n",
      "\u001b[34m[05:47:30] 666x69 matrix with 45954 entries loaded from /opt/ml/input/data/validation?format=csv&label_column=0&delimiter=,\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 22 extra nodes, 4 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[0]#011train-error:0.058723#011validation-error:0.088589\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 18 extra nodes, 4 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[1]#011train-error:0.051436#011validation-error:0.07958\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 22 extra nodes, 2 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[2]#011train-error:0.045864#011validation-error:0.073574\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 22 extra nodes, 2 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[3]#011train-error:0.046292#011validation-error:0.073574\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 22 extra nodes, 2 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[4]#011train-error:0.047578#011validation-error:0.072072\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 24 extra nodes, 2 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[5]#011train-error:0.045435#011validation-error:0.072072\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 20 extra nodes, 2 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[6]#011train-error:0.045006#011validation-error:0.073574\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 16 extra nodes, 6 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[7]#011train-error:0.043721#011validation-error:0.075075\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 18 extra nodes, 4 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[8]#011train-error:0.042006#011validation-error:0.072072\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 16 extra nodes, 16 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[9]#011train-error:0.041149#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 14 extra nodes, 12 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[10]#011train-error:0.039006#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 14 extra nodes, 14 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[11]#011train-error:0.038148#011validation-error:0.064565\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 18 extra nodes, 4 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[12]#011train-error:0.039006#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 8 pruned nodes, max_depth=3\u001b[0m\n",
      "\u001b[34m[13]#011train-error:0.038577#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 14 extra nodes, 8 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[14]#011train-error:0.037291#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 8 extra nodes, 10 pruned nodes, max_depth=3\u001b[0m\n",
      "\u001b[34m[15]#011train-error:0.037291#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 12 extra nodes, 4 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[16]#011train-error:0.036862#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 20 extra nodes, 0 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[17]#011train-error:0.036434#011validation-error:0.064565\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 12 pruned nodes, max_depth=3\u001b[0m\n",
      "\u001b[34m[18]#011train-error:0.036005#011validation-error:0.064565\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 14 extra nodes, 6 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[19]#011train-error:0.034291#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 8 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[20]#011train-error:0.034719#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 16 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[21]#011train-error:0.034291#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 6 extra nodes, 14 pruned nodes, max_depth=3\u001b[0m\n",
      "\u001b[34m[22]#011train-error:0.034291#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 12 extra nodes, 6 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[23]#011train-error:0.032576#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 14 extra nodes, 6 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[24]#011train-error:0.032147#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 8 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[25]#011train-error:0.032147#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 14 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[26]#011train-error:0.031719#011validation-error:0.070571\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 8 extra nodes, 10 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[27]#011train-error:0.030862#011validation-error:0.070571\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 6 extra nodes, 14 pruned nodes, max_depth=3\u001b[0m\n",
      "\u001b[34m[28]#011train-error:0.031719#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 8 extra nodes, 10 pruned nodes, max_depth=3\u001b[0m\n",
      "\u001b[34m[29]#011train-error:0.03129#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 16 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[30]#011train-error:0.03129#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 8 extra nodes, 4 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[31]#011train-error:0.030433#011validation-error:0.070571\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 8 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[32]#011train-error:0.030433#011validation-error:0.070571\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 12 extra nodes, 8 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[33]#011train-error:0.030862#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 12 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[34]#011train-error:0.030862#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 12 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[35]#011train-error:0.030862#011validation-error:0.070571\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 14 extra nodes, 2 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[36]#011train-error:0.029147#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 12 extra nodes, 6 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[37]#011train-error:0.029147#011validation-error:0.064565\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 12 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[38]#011train-error:0.029147#011validation-error:0.064565\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 22 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[39]#011train-error:0.029576#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 14 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[40]#011train-error:0.029147#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 8 extra nodes, 12 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[41]#011train-error:0.030004#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 6 extra nodes, 12 pruned nodes, max_depth=3\u001b[0m\n",
      "\u001b[34m[42]#011train-error:0.02829#011validation-error:0.070571\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 12 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[43]#011train-error:0.02829#011validation-error:0.070571\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 20 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[44]#011train-error:0.02829#011validation-error:0.070571\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 8 extra nodes, 14 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[45]#011train-error:0.02829#011validation-error:0.070571\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 8 extra nodes, 12 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[46]#011train-error:0.02829#011validation-error:0.070571\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 12 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[47]#011train-error:0.02829#011validation-error:0.070571\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 14 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[48]#011train-error:0.027432#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 6 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[49]#011train-error:0.027861#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 18 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[50]#011train-error:0.027432#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 10 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[51]#011train-error:0.027004#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 14 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[52]#011train-error:0.027004#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 20 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[53]#011train-error:0.027004#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 18 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[54]#011train-error:0.027004#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 18 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[55]#011train-error:0.027004#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 12 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[56]#011train-error:0.027004#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 20 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[57]#011train-error:0.027004#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 14 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[58]#011train-error:0.027432#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 18 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[59]#011train-error:0.027004#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 14 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[60]#011train-error:0.027432#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 10 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[61]#011train-error:0.027432#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 16 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[62]#011train-error:0.027432#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 14 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[63]#011train-error:0.027432#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 8 extra nodes, 8 pruned nodes, max_depth=4\u001b[0m\n",
      "\u001b[34m[64]#011train-error:0.026147#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 20 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[65]#011train-error:0.026147#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 18 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[66]#011train-error:0.026147#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 10 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[67]#011train-error:0.026147#011validation-error:0.069069\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 6 extra nodes, 8 pruned nodes, max_depth=3\u001b[0m\n",
      "\u001b[34m[68]#011train-error:0.026147#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 14 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[69]#011train-error:0.026147#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 18 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[70]#011train-error:0.025718#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 16 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[71]#011train-error:0.025718#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 6 extra nodes, 12 pruned nodes, max_depth=3\u001b[0m\n",
      "\u001b[34m[72]#011train-error:0.025289#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 18 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[73]#011train-error:0.024003#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 20 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[74]#011train-error:0.024003#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 20 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[75]#011train-error:0.024003#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 14 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[76]#011train-error:0.024003#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 16 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[77]#011train-error:0.024432#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 16 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[78]#011train-error:0.025289#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 4 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[79]#011train-error:0.025718#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 16 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[80]#011train-error:0.025718#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 4 extra nodes, 14 pruned nodes, max_depth=2\u001b[0m\n",
      "\u001b[34m[81]#011train-error:0.025289#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 18 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[82]#011train-error:0.025718#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 18 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[83]#011train-error:0.025289#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 16 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[84]#011train-error:0.025718#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 16 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[85]#011train-error:0.025289#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 20 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[86]#011train-error:0.025289#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 10 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[87]#011train-error:0.024861#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 14 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[88]#011train-error:0.025289#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 10 extra nodes, 4 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[89]#011train-error:0.024003#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 20 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[90]#011train-error:0.024003#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 14 extra nodes, 0 pruned nodes, max_depth=5\u001b[0m\n",
      "\u001b[34m[91]#011train-error:0.025718#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 14 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[92]#011train-error:0.025718#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 16 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[93]#011train-error:0.025718#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 16 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[94]#011train-error:0.026147#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 12 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[95]#011train-error:0.026147#011validation-error:0.066066\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 4 extra nodes, 16 pruned nodes, max_depth=2\u001b[0m\n",
      "\u001b[34m[96]#011train-error:0.025289#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 14 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[97]#011train-error:0.025289#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 12 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[98]#011train-error:0.025289#011validation-error:0.067568\u001b[0m\n",
      "\u001b[34m[05:47:30] src/tree/updater_prune.cc:74: tree pruning end, 1 roots, 0 extra nodes, 14 pruned nodes, max_depth=0\u001b[0m\n",
      "\u001b[34m[99]#011train-error:0.024861#011validation-error:0.066066\u001b[0m\n",
      "\n",
      "2020-07-13 05:47:41 Completed - Training job completed\n",
      "Training seconds: 71\n",
      "Billable seconds: 71\n"
     ]
    }
   ],
   "source": [
    "xgb.fit(inputs=data_channels, logs=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7. Deploy the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:sagemaker:Parameter image will be renamed to image_uri in SageMaker Python SDK v2.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---------------!"
     ]
    }
   ],
   "source": [
    "xgb_predictor = xgb.deploy(initial_instance_count=1,\n",
    "                           instance_type='ml.p2.xlarge')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8. Evaluating with the Test set (Inference)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have a hosted endpoint running, we can make real-time predictions from our model very easily, simply by making an http POST request. But first, we'll need to setup serializers and deserializers for passing our test_data NumPy arrays to the model behind the endpoint."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "xgb_predictor.content_type = 'text/csv'\n",
    "xgb_predictor.serializer = csv_serializer\n",
    "xgb_predictor.deserializer = None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we'll use a simple function to:\n",
    "\n",
    "- Loop over our test dataset\n",
    "- Split it into mini-batches of rows\n",
    "- Convert those mini-batchs to CSV string payloads\n",
    "- Retrieve mini-batch predictions by invoking the XGBoost endpoint\n",
    "- Collect predictions and convert from the CSV output our model provides into a NumPy array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict(data, rows=500):\n",
    "    split_array = np.array_split(data, int(data.shape[0] / float(rows) + 1))\n",
    "    predictions = ''\n",
    "    for array in split_array:\n",
    "        predictions = ','.join([predictions, xgb_predictor.predict(array).decode('utf-8')])\n",
    "\n",
    "    return np.fromstring(predictions[1:], sep=',')\n",
    "\n",
    "predictions = predict(test_data.values[:, 1:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are many ways to compare the performance of a machine learning model, but let's start by simply by comparing actual to predicted values. In this case, we're simply predicting whether the customer churned (1) or not (0), which produces a simple confusion matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "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>predictions</th>\n",
       "      <th>0.0</th>\n",
       "      <th>1.0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>actual</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>282</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "predictions  0.0  1.0\n",
       "actual               \n",
       "0            282    4\n",
       "1              9   39"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(index=test_data.iloc[:, 0], columns=np.round(predictions), rownames=['actual'], colnames=['predictions'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of the 48 churners, we've correctly predicted 39 of them (true positives). And, we incorrectly predicted 4 customers would churn who then ended up not doing so (false positives). There are also 9 customers who ended up churning, that we predicted would not (false negatives).\n",
    "\n",
    "An important point here is that because of the np.round() function above we are using a simple threshold (or cutoff) of 0.5. Our predictions from xgboost come out as continuous values between 0 and 1 and we force them into the binary classes that we began with. However, because a customer that churns is expected to cost the company more than proactively trying to retain a customer who we think might churn, we should consider adjusting this cutoff. That will almost certainly increase the number of false positives, but it can also be expected to increase the number of true positives and reduce the number of false negatives.\n",
    "\n",
    "To get a rough intuition here, let's look at the continuous values of our predictions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AhiRzwAeBV8H4e+blBySpQWf6aRlJ0jIYd0lqkHGXpAYZd0lqkHGXpAYZd0lqkHGXpAb9H+YdrpbdmHaoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(predictions)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The continuous valued predictions coming from our model tend to skew toward 0 or 1, but there is sufficient mass between 0.1 and 0.9 that adjusting the cutoff should indeed shift a number of customers' predictions. For example..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>1</th>\n",
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       "      <th>Churn?_True.</th>\n",
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      "text/plain": [
       "col_0           0   1\n",
       "Churn?_True.         \n",
       "0             279   7\n",
       "1               8  40"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(index=test_data.iloc[:, 0], columns=np.where(predictions > 0.3, 1, 0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that changing the cutoff from 0.5 to 0.3 results in 1 more true positives, 3 more false positives, and 1 fewer false negatives. The numbers are small overall here, but that's 6-10% of customers overall that are shifting because of a change to the cutoff. Was this the right decision? We may end up retaining 3 extra customers, but we also unnecessarily incentivized 5 more customers who would have stayed. Determining optimal cutoffs is a key step in properly applying machine learning in a real-world setting. Let's discuss this more broadly and then apply a specific, hypothetical solution for our current problem."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 9. Relative cost of errors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correctly understading this part is crucial"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Any practical binary classification problem is likely to produce a similarly sensitive cutoff. That by itself isn’t a problem. After all, if the scores for two classes are really easy to separate, the problem probably isn’t very hard to begin with and might even be solvable with simple rules instead of ML.\n",
    "\n",
    "More important, if I put an ML model into production, there are costs associated with the model erroneously assigning false positives and false negatives. I also need to look at similar costs associated with correct predictions of true positives and true negatives. Because the choice of the cutoff affects all four of these statistics, I need to consider the relative costs to the business for each of these four outcomes for each prediction.\n",
    "\n",
    "Assigning costs\n",
    "What are the costs for our problem of mobile operator churn? The costs, of course, depend on the specific actions that the business takes. Let's make some assumptions here.\n",
    "\n",
    "First, assign the true negatives the cost of 0 dollar. Our model essentially correctly identified a happy customer in this case, and we don’t need to do anything.\n",
    "\n",
    "False negatives are the most problematic, because they incorrectly predict that a churning customer will stay. We lose the customer and will have to pay all the costs of acquiring a replacement customer, including foregone revenue, advertising costs, administrative costs, point of sale costs, and likely a phone hardware subsidy. A quick search on the Internet reveals that such costs typically run in the hundreds of dollars so, for the purposes of this example, let's assume \\$500. This is the cost of false negatives.\n",
    "\n",
    "Finally, for customers that our model identifies as churning, let's assume a retention incentive in the amount of \\$100. If my provider offered me such a concession, I’d certainly think twice before leaving. This is the cost of both true positive and false positive outcomes. In the case of false positives (the customer is happy, but the model mistakenly predicted churn), we will “waste” the 100 dollar concession. We probably could have spent that 100 dollar more effectively, but it's possible we increased the loyalty of an already loyal customer, so that’s not so bad.\n",
    "\n",
    "**Finding the optimal cutoff**\n",
    "It’s clear that false negatives are substantially more costly than false positives. Instead of optimizing for error based on the number of customers, we should be minimizing a cost function that looks like this:\n",
    "\n",
    "txt\n",
    "$500 * FN(C) + $0 * TN(C) + $100 * FP(C) + $100 * TP(C)\n",
    "FN(C) means that the false negative percentage is a function of the cutoff, C, and similar for TN, FP, and TP. We need to find the cutoff, C, where the result of the expression is smallest.\n",
    "\n",
    "A straightforward way to do this, is to simply run a simulation over a large number of possible cutoffs. We test 100 possible values in the for loop below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost is minimized near a cutoff of: 0.46 for a cost of: 8400\n"
     ]
    }
   ],
   "source": [
    "cutoffs = np.arange(0.01, 1, 0.01)\n",
    "costs = []\n",
    "for c in cutoffs:\n",
    "    costs.append(np.sum(np.sum(np.array([[0, 100], [500, 100]]) * \n",
    "                               pd.crosstab(index=test_data.iloc[:, 0], \n",
    "                                           columns=np.where(predictions > c, 1, 0)))))\n",
    "\n",
    "costs = np.array(costs)\n",
    "plt.plot(cutoffs, costs)\n",
    "plt.show()\n",
    "print('Cost is minimized near a cutoff of:', cutoffs[np.argmin(costs)], 'for a cost of:', np.min(costs))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above chart shows how picking a threshold too low results in costs skyrocketing as all customers are given a retention incentive. Meanwhile, setting the threshold too high results in too many lost customers, which ultimately grows to be nearly as costly. The overall cost can be minimized at \\$ 8400 by setting the cutoff to 0.46, which is substantially better than the \\\\$ 20k+ I would expect to lose by not taking any action."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Things to note\n",
    "This notebook showcased how to build a model that predicts whether a customer is likely to churn, and then how to optimally set a threshold that accounts for the cost of true positives, false positives, and false negatives. There are several means of extending it including:\n",
    "\n",
    "- Some customers who receive retention incentives will still churn. Including a probability of churning despite receiving an incentive in our cost function would provide a better ROI on our retention programs. \\\n",
    "\n",
    "- Customers who switch to a lower-priced plan or who deactivate a paid feature represent different kinds of churn that could be modeled separately. \\\n",
    "\n",
    "- Modeling the evolution of customer behavior. If usage is dropping and the number of calls placed to Customer Service is increasing, you are more likely to experience churn then if the trend is the opposite. A customer profile should incorporate behavior trends. \\\n",
    "\n",
    "- Actual training data and monetary cost assignments could be more complex. \\\n",
    "\n",
    "- Multiple models for each type of churn could be needed.\n",
    "\n",
    "These principles described here can be applied to any customer chrun problems"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 10. Close the SageMaker Instance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "sagemaker.Session().delete_endpoint(xgb_predictor.endpoint)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### (optional) 11. Optimizing model for prediction using Neo API\n",
    "Neo API allows to optimize our model for a specific hardware type. When calling compile_model() function, we specify the target instance family (C5) as well as the S3 bucket to which the compiled model would be stored."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:sagemaker:Parameter image will be renamed to image_uri in SageMaker Python SDK v2.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "?.!"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:sagemaker:'create_image_uri' will be deprecated in favor of 'ImageURIProvider' class in SageMaker Python SDK v2.\n"
     ]
    }
   ],
   "source": [
    "output_path = '/'.join(xgb.output_path.split('/')[:-1])\n",
    "compiled_model = xgb.compile_model(target_instance_family='ml_c5', \n",
    "                                   input_shape={'data':[1, 69]},\n",
    "                                   role=role,\n",
    "                                   framework='xgboost',\n",
    "                                   framework_version='latest',\n",
    "                                   output_path=output_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Creating an inference Endpoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:sagemaker.amazon.amazon_estimator:'get_image_uri' method will be deprecated in favor of 'ImageURIProvider' class in SageMaker Python SDK v2.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---------------!"
     ]
    }
   ],
   "source": [
    "# known issue: need to manually specify endpoint name\n",
    "compiled_model.name = 'deployed-xgboost-customer-churn'\n",
    "# There is a known issue where SageMaker SDK locates the incorrect docker image URI for XGBoost\n",
    "# For now, we manually set Image URI\n",
    "compiled_model.image = get_image_uri(region, 'xgboost-neo', repo_version='latest')\n",
    "compiled_predictor = compiled_model.deploy(initial_instance_count = 1, \n",
    "                                           instance_type = 'ml.p2.xlarge')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Making an inference request"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "compiled_predictor.content_type = 'text/csv'\n",
    "compiled_predictor.serializer = csv_serializer\n",
    "compiled_predictor.deserializer = None\n",
    "\n",
    "def optimized_predict(data, rows=500):\n",
    "    split_array = np.array_split(data, int(data.shape[0] / float(rows) + 1))\n",
    "    predictions = ''\n",
    "    for array in split_array:\n",
    "        predictions = ','.join([predictions, compiled_predictor.predict(array).decode('utf-8')])\n",
    "\n",
    "    return np.fromstring(predictions[1:], sep=',')\n",
    "\n",
    "# Predict on test data\n",
    "predictions = optimized_predict(test_data.values[:, 1:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>predictions</th>\n",
       "      <th>0.0</th>\n",
       "      <th>1.0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>actual</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>282</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "predictions  0.0  1.0\n",
       "actual               \n",
       "0            282    4\n",
       "1              9   39"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(index=test_data.iloc[:, 0], columns=np.round(predictions), rownames=['actual'], colnames=['predictions'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AhiRzwAeBV8H4e+blBySpQWf6aRlJ0jIYd0lqkHGXpAYZd0lqkHGXpAYZd0lqkHGXpAb9H+YdrpbdmHaoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(predictions)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Close the Instance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "sagemaker.Session().delete_endpoint(compiled_predictor.endpoint)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reference\n",
    ">https://www.youtube.com/watch?v=D04dxTiDO3E&feature=youtu.be\n",
    ">https://aws.amazon.com/ko/blogs/machine-learning/predicting-customer-churn-with-amazon-machine-learning/"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}