07. Marketing Email Campaign.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.simplefilter('ignore')\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import auc, roc_curve, classification_report\n",
    "\n",
    "import h2o\n",
    "from h2o.frame import H2OFrame\n",
    "from h2o.estimators.random_forest import H2ORandomForestEstimator\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>email_id</th>\n",
       "      <th>email_text</th>\n",
       "      <th>email_version</th>\n",
       "      <th>hour</th>\n",
       "      <th>weekday</th>\n",
       "      <th>user_country</th>\n",
       "      <th>user_past_purchases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>85120</td>\n",
       "      <td>short_email</td>\n",
       "      <td>personalized</td>\n",
       "      <td>2</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>US</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>966622</td>\n",
       "      <td>long_email</td>\n",
       "      <td>personalized</td>\n",
       "      <td>12</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>UK</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>777221</td>\n",
       "      <td>long_email</td>\n",
       "      <td>personalized</td>\n",
       "      <td>11</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>US</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>493711</td>\n",
       "      <td>short_email</td>\n",
       "      <td>generic</td>\n",
       "      <td>6</td>\n",
       "      <td>Monday</td>\n",
       "      <td>UK</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>106887</td>\n",
       "      <td>long_email</td>\n",
       "      <td>generic</td>\n",
       "      <td>14</td>\n",
       "      <td>Monday</td>\n",
       "      <td>US</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   email_id   email_text email_version  hour    weekday user_country  \\\n",
       "0     85120  short_email  personalized     2     Sunday           US   \n",
       "1    966622   long_email  personalized    12     Sunday           UK   \n",
       "2    777221   long_email  personalized    11  Wednesday           US   \n",
       "3    493711  short_email       generic     6     Monday           UK   \n",
       "4    106887   long_email       generic    14     Monday           US   \n",
       "\n",
       "   user_past_purchases  \n",
       "0                    5  \n",
       "1                    2  \n",
       "2                    2  \n",
       "3                    1  \n",
       "4                    6  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read `email_table.csv`\n",
    "email_table = pd.read_csv('./data/email/email_table.csv')\n",
    "email_table.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 100000 entries, 0 to 99999\n",
      "Data columns (total 7 columns):\n",
      "email_id               100000 non-null int64\n",
      "email_text             100000 non-null object\n",
      "email_version          100000 non-null object\n",
      "hour                   100000 non-null int64\n",
      "weekday                100000 non-null object\n",
      "user_country           100000 non-null object\n",
      "user_past_purchases    100000 non-null int64\n",
      "dtypes: int64(3), object(4)\n",
      "memory usage: 5.3+ MB\n"
     ]
    }
   ],
   "source": [
    "# basic information\n",
    "email_table.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "email_id               0\n",
       "email_text             0\n",
       "email_version          0\n",
       "hour                   0\n",
       "weekday                0\n",
       "user_country           0\n",
       "user_past_purchases    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check missing values\n",
    "email_table.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "        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>email_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>284534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>609056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>220820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>905936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>164034</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   email_id\n",
       "0    284534\n",
       "1    609056\n",
       "2    220820\n",
       "3    905936\n",
       "4    164034"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read email_opened_table.csv\n",
    "email_opened = pd.read_csv('./data/email/email_opened_table.csv')\n",
    "email_opened.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10345 entries, 0 to 10344\n",
      "Data columns (total 1 columns):\n",
      "email_id    10345 non-null int64\n",
      "dtypes: int64(1)\n",
      "memory usage: 80.9 KB\n"
     ]
    }
   ],
   "source": [
    "# basic information\n",
    "email_opened.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>email_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>609056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>870980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>935124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>158501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>177561</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   email_id\n",
       "0    609056\n",
       "1    870980\n",
       "2    935124\n",
       "3    158501\n",
       "4    177561"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read link_clicked_table.csv\n",
    "link_table = pd.read_csv('./data/email/link_clicked_table.csv')\n",
    "link_table.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2119 entries, 0 to 2118\n",
      "Data columns (total 1 columns):\n",
      "email_id    2119 non-null int64\n",
      "dtypes: int64(1)\n",
      "memory usage: 16.6 KB\n"
     ]
    }
   ],
   "source": [
    "# basic information\n",
    "link_table.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "email_table.csv:\t 100000\n",
      "email_opened_table.csv:\t 10345\n",
      "link_clicked_table.csv:\t 2119\n"
     ]
    }
   ],
   "source": [
    "# check uniqueness of email_id in three tables\n",
    "print('email_table.csv:\\t', len(email_table['email_id'].unique()))\n",
    "print('email_opened_table.csv:\\t', len(email_opened['email_id'].unique()))\n",
    "print('link_clicked_table.csv:\\t', len(link_table['email_id'].unique()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>email_id</th>\n",
       "      <th>email_text</th>\n",
       "      <th>email_version</th>\n",
       "      <th>hour</th>\n",
       "      <th>weekday</th>\n",
       "      <th>user_country</th>\n",
       "      <th>user_past_purchases</th>\n",
       "      <th>opened</th>\n",
       "      <th>clicked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>85120</td>\n",
       "      <td>short_email</td>\n",
       "      <td>personalized</td>\n",
       "      <td>2</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>US</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>966622</td>\n",
       "      <td>long_email</td>\n",
       "      <td>personalized</td>\n",
       "      <td>12</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>UK</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>777221</td>\n",
       "      <td>long_email</td>\n",
       "      <td>personalized</td>\n",
       "      <td>11</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>US</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>493711</td>\n",
       "      <td>short_email</td>\n",
       "      <td>generic</td>\n",
       "      <td>6</td>\n",
       "      <td>Monday</td>\n",
       "      <td>UK</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>106887</td>\n",
       "      <td>long_email</td>\n",
       "      <td>generic</td>\n",
       "      <td>14</td>\n",
       "      <td>Monday</td>\n",
       "      <td>US</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   email_id   email_text email_version  hour    weekday user_country  \\\n",
       "0     85120  short_email  personalized     2     Sunday           US   \n",
       "1    966622   long_email  personalized    12     Sunday           UK   \n",
       "2    777221   long_email  personalized    11  Wednesday           US   \n",
       "3    493711  short_email       generic     6     Monday           UK   \n",
       "4    106887   long_email       generic    14     Monday           US   \n",
       "\n",
       "   user_past_purchases  opened  clicked  \n",
       "0                    5       0        0  \n",
       "1                    2       1        1  \n",
       "2                    2       0        0  \n",
       "3                    1       0        0  \n",
       "4                    6       0        0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create new columns `opened` and `clicked`\n",
    "email_opened['opened'] = 1\n",
    "link_table['clicked'] = 1\n",
    "data = pd.merge(left=email_table, right=email_opened, how='left', on='email_id')\n",
    "data = pd.merge(left=data, right=link_table, how='left', on='email_id')\n",
    "data = data.fillna(value=0)\n",
    "data['opened'] = data['opened'].astype(int)\n",
    "data['clicked'] = data['clicked'].astype(int)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Opened user percentage:    10.3450%\n",
      "Clicked user percentage:    2.1190%\n"
     ]
    }
   ],
   "source": [
    "print('{0:25s} {1:>8.4f}%'.format('Opened user percentage:', data['opened'].mean() * 100))\n",
    "print('{0:25s} {1:>8.4f}%'.format('Clicked user percentage:', data['clicked'].mean() * 100))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "clicked\n",
       "0    0.97881\n",
       "1    0.02119\n",
       "Name: email_id, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby('clicked')['email_id'].count() / len(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clearly, the data is highly imbalanced:\n",
    "* $2.12\\%$ of all the email is clicked. \n",
    "* $97.88\\%$ of all the email is not clicked. \n",
    "\n",
    "The imbalance of the data is a major challange for similar problems."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualization of `email_text`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='email_text', data=data, ax=ax[0])\n",
    "ax[0].set_xlabel('Email Text', fontsize=12)\n",
    "ax[0].set_ylabel('Count', fontsize=12)\n",
    "ax[0].set_title('Count Plot of Email Text', fontsize=16)\n",
    "\n",
    "sns.barplot(x='email_text', y='clicked', data=data, ax=ax[1])\n",
    "ax[1].set_xlabel('Email Text', fontsize=12)\n",
    "ax[1].set_ylabel('Click Through Rate', fontsize=12)\n",
    "ax[1].set_title('Click Through Rate vs. Email Text', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualization of `email_version`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='email_version', data=data, ax=ax[0])\n",
    "ax[0].set_xlabel('Email Version', fontsize=12)\n",
    "ax[0].set_ylabel('Count', fontsize=12)\n",
    "ax[0].set_title('Count Plot of Email Version', fontsize=16)\n",
    "\n",
    "sns.barplot(x='email_version', y='clicked', data=data, ax=ax[1])\n",
    "ax[1].set_xlabel('Email Version', fontsize=12)\n",
    "ax[1].set_ylabel('Click Through Rate', fontsize=12)\n",
    "ax[1].set_title('Click Through Rate vs. Email Version', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualization of `hour`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='hour', data=data, ax=ax[0])\n",
    "ax[0].set_xlabel('Email Sent Hour', fontsize=12)\n",
    "ax[0].set_ylabel('Count', fontsize=12)\n",
    "ax[0].set_title('Count Plot of Email Sent Hour', fontsize=16)\n",
    "\n",
    "sns.barplot(x='hour', y='clicked', data=data, ax=ax[1])\n",
    "ax[1].set_xlabel('Email Sent Hour', fontsize=12)\n",
    "ax[1].set_ylabel('Click Through Rate', fontsize=12)\n",
    "ax[1].set_title('Click Through Rate vs. Email Sent Hour', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualization of `weekday`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='weekday', data=data, ax=ax[0])\n",
    "ax[0].set_xlabel('Email Sent Weekday', fontsize=12)\n",
    "ax[0].set_ylabel('Count', fontsize=12)\n",
    "ax[0].set_title('Count Plot of Email Sent Weekday', fontsize=16)\n",
    "\n",
    "sns.barplot(x='weekday', y='clicked', data=data, ax=ax[1])\n",
    "ax[1].set_xlabel('Email Sent Weekday', fontsize=12)\n",
    "ax[1].set_ylabel('Click Through Rate', fontsize=12)\n",
    "ax[1].set_title('Click Through Rate vs. Email Sent Weekday', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualization of `user_country`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='user_country', data=data, ax=ax[0])\n",
    "ax[0].set_xlabel('User Country', fontsize=12)\n",
    "ax[0].set_ylabel('Count', fontsize=12)\n",
    "ax[0].set_title('Count Plot of User Country', fontsize=16)\n",
    "\n",
    "sns.barplot(x='user_country', y='clicked', data=data, ax=ax[1])\n",
    "ax[1].set_xlabel('User Country', fontsize=12)\n",
    "ax[1].set_ylabel('Click Through Rate', fontsize=12)\n",
    "ax[1].set_title('Click Through Rate vs. User Country', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualization of `user_past_purchases`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='user_past_purchases', data=data, ax=ax[0])\n",
    "ax[0].set_xlabel('User Past Purchases', fontsize=12)\n",
    "ax[0].set_ylabel('Count', fontsize=12)\n",
    "ax[0].set_title('Count Plot of User Past Purchases', fontsize=16)\n",
    "\n",
    "sns.barplot(x='user_past_purchases', y='clicked', data=data, ax=ax[1])\n",
    "ax[1].set_xlabel('User Past Purchases', fontsize=12)\n",
    "ax[1].set_ylabel('Click Through Rate', fontsize=12)\n",
    "ax[1].set_title('Click Through Rate vs. User Past Purchases', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clearly, different features have different influence on the user click-through-rate. Now, let's try to build some machine learning models to try to predict the click probability. In this notebook, I only implement the Random Forest model with the default parameter settings without advanced optimization, such as grid search and so on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking whether there is an H2O instance running at http://localhost:54321..... not found.\n",
      "Attempting to start a local H2O server...\n",
      "  Java Version: openjdk version \"1.8.0_121\"; OpenJDK Runtime Environment (Zulu 8.20.0.5-macosx) (build 1.8.0_121-b15); OpenJDK 64-Bit Server VM (Zulu 8.20.0.5-macosx) (build 25.121-b15, mixed mode)\n",
      "  Starting server from /anaconda3/lib/python3.6/site-packages/h2o/backend/bin/h2o.jar\n",
      "  Ice root: /var/folders/fk/r5jtwkwx7rnc3ylykxjwpyq00000gp/T/tmpma5u5nb6\n",
      "  JVM stdout: /var/folders/fk/r5jtwkwx7rnc3ylykxjwpyq00000gp/T/tmpma5u5nb6/h2o_jifuzhao_started_from_python.out\n",
      "  JVM stderr: /var/folders/fk/r5jtwkwx7rnc3ylykxjwpyq00000gp/T/tmpma5u5nb6/h2o_jifuzhao_started_from_python.err\n",
      "  Server is running at http://127.0.0.1:54321\n",
      "Connecting to H2O server at http://127.0.0.1:54321... successful.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div style=\"overflow:auto\"><table style=\"width:50%\"><tr><td>H2O cluster uptime:</td>\n",
       "<td>03 secs</td></tr>\n",
       "<tr><td>H2O cluster timezone:</td>\n",
       "<td>America/Chicago</td></tr>\n",
       "<tr><td>H2O data parsing timezone:</td>\n",
       "<td>UTC</td></tr>\n",
       "<tr><td>H2O cluster version:</td>\n",
       "<td>3.20.0.1</td></tr>\n",
       "<tr><td>H2O cluster version age:</td>\n",
       "<td>8 days </td></tr>\n",
       "<tr><td>H2O cluster name:</td>\n",
       "<td>H2O_from_python_jifuzhao_2lksx7</td></tr>\n",
       "<tr><td>H2O cluster total nodes:</td>\n",
       "<td>1</td></tr>\n",
       "<tr><td>H2O cluster free memory:</td>\n",
       "<td>3.556 Gb</td></tr>\n",
       "<tr><td>H2O cluster total cores:</td>\n",
       "<td>4</td></tr>\n",
       "<tr><td>H2O cluster allowed cores:</td>\n",
       "<td>4</td></tr>\n",
       "<tr><td>H2O cluster status:</td>\n",
       "<td>accepting new members, healthy</td></tr>\n",
       "<tr><td>H2O connection url:</td>\n",
       "<td>http://127.0.0.1:54321</td></tr>\n",
       "<tr><td>H2O connection proxy:</td>\n",
       "<td>None</td></tr>\n",
       "<tr><td>H2O internal security:</td>\n",
       "<td>False</td></tr>\n",
       "<tr><td>H2O API Extensions:</td>\n",
       "<td>XGBoost, Algos, AutoML, Core V3, Core V4</td></tr>\n",
       "<tr><td>Python version:</td>\n",
       "<td>3.6.5 final</td></tr></table></div>"
      ],
      "text/plain": [
       "--------------------------  ----------------------------------------\n",
       "H2O cluster uptime:         03 secs\n",
       "H2O cluster timezone:       America/Chicago\n",
       "H2O data parsing timezone:  UTC\n",
       "H2O cluster version:        3.20.0.1\n",
       "H2O cluster version age:    8 days\n",
       "H2O cluster name:           H2O_from_python_jifuzhao_2lksx7\n",
       "H2O cluster total nodes:    1\n",
       "H2O cluster free memory:    3.556 Gb\n",
       "H2O cluster total cores:    4\n",
       "H2O cluster allowed cores:  4\n",
       "H2O cluster status:         accepting new members, healthy\n",
       "H2O connection url:         http://127.0.0.1:54321\n",
       "H2O connection proxy:\n",
       "H2O internal security:      False\n",
       "H2O API Extensions:         XGBoost, Algos, AutoML, Core V3, Core V4\n",
       "Python version:             3.6.5 final\n",
       "--------------------------  ----------------------------------------"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Initialize H2O cluster\n",
    "h2o.init()\n",
    "h2o.remove_all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parse progress: |█████████████████████████████████████████████████████████| 100%\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead>\n",
       "<tr><th>       </th><th>email_id         </th><th>email_text  </th><th>email_version  </th><th>hour              </th><th>weekday  </th><th>user_country  </th><th>user_past_purchases  </th><th>opened            </th><th>clicked  </th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td>type   </td><td>int              </td><td>enum        </td><td>enum           </td><td>int               </td><td>enum     </td><td>enum          </td><td>int                  </td><td>int               </td><td>enum     </td></tr>\n",
       "<tr><td>mins   </td><td>8.0              </td><td>            </td><td>               </td><td>1.0               </td><td>         </td><td>              </td><td>0.0                  </td><td>0.0               </td><td>         </td></tr>\n",
       "<tr><td>mean   </td><td>498690.1961600027</td><td>            </td><td>               </td><td>9.059300000000045 </td><td>         </td><td>              </td><td>3.878450000000022    </td><td>0.10345           </td><td>         </td></tr>\n",
       "<tr><td>maxs   </td><td>999998.0         </td><td>            </td><td>               </td><td>24.0              </td><td>         </td><td>              </td><td>22.0                 </td><td>1.0               </td><td>         </td></tr>\n",
       "<tr><td>sigma  </td><td>289230.7275342937</td><td>            </td><td>               </td><td>4.4396374417069655</td><td>         </td><td>              </td><td>3.1961097835771355   </td><td>0.3045472459081676</td><td>         </td></tr>\n",
       "<tr><td>zeros  </td><td>0                </td><td>            </td><td>               </td><td>0                 </td><td>         </td><td>              </td><td>13877                </td><td>89655             </td><td>         </td></tr>\n",
       "<tr><td>missing</td><td>0                </td><td>0           </td><td>0              </td><td>0                 </td><td>0        </td><td>0             </td><td>0                    </td><td>0                 </td><td>0        </td></tr>\n",
       "<tr><td>0      </td><td>85120.0          </td><td>short_email </td><td>personalized   </td><td>2.0               </td><td>Sunday   </td><td>US            </td><td>5.0                  </td><td>0.0               </td><td>0        </td></tr>\n",
       "<tr><td>1      </td><td>966622.0         </td><td>long_email  </td><td>personalized   </td><td>12.0              </td><td>Sunday   </td><td>UK            </td><td>2.0                  </td><td>1.0               </td><td>1        </td></tr>\n",
       "<tr><td>2      </td><td>777221.0         </td><td>long_email  </td><td>personalized   </td><td>11.0              </td><td>Wednesday</td><td>US            </td><td>2.0                  </td><td>0.0               </td><td>0        </td></tr>\n",
       "<tr><td>3      </td><td>493711.0         </td><td>short_email </td><td>generic        </td><td>6.0               </td><td>Monday   </td><td>UK            </td><td>1.0                  </td><td>0.0               </td><td>0        </td></tr>\n",
       "<tr><td>4      </td><td>106887.0         </td><td>long_email  </td><td>generic        </td><td>14.0              </td><td>Monday   </td><td>US            </td><td>6.0                  </td><td>0.0               </td><td>0        </td></tr>\n",
       "<tr><td>5      </td><td>684440.0         </td><td>long_email  </td><td>personalized   </td><td>6.0               </td><td>Sunday   </td><td>UK            </td><td>3.0                  </td><td>0.0               </td><td>0        </td></tr>\n",
       "<tr><td>6      </td><td>139620.0         </td><td>short_email </td><td>personalized   </td><td>9.0               </td><td>Saturday </td><td>US            </td><td>8.0                  </td><td>1.0               </td><td>0        </td></tr>\n",
       "<tr><td>7      </td><td>694933.0         </td><td>long_email  </td><td>generic        </td><td>8.0               </td><td>Saturday </td><td>US            </td><td>2.0                  </td><td>0.0               </td><td>0        </td></tr>\n",
       "<tr><td>8      </td><td>485760.0         </td><td>long_email  </td><td>personalized   </td><td>5.0               </td><td>Monday   </td><td>US            </td><td>4.0                  </td><td>0.0               </td><td>0        </td></tr>\n",
       "<tr><td>9      </td><td>592665.0         </td><td>short_email </td><td>personalized   </td><td>23.0              </td><td>Wednesday</td><td>US            </td><td>3.0                  </td><td>0.0               </td><td>0        </td></tr>\n",
       "</tbody>\n",
       "</table>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Transform to H2O Frame, and make sure the target variable is categorical\n",
    "h2o_df = H2OFrame(data)\n",
    "h2o_df['clicked'] = h2o_df['clicked'].asfactor()\n",
    "\n",
    "h2o_df.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split into 75% training and 25% test dataset\n",
    "strat_split = h2o_df['clicked'].stratified_split(test_frac=0.25, seed=42)\n",
    "\n",
    "train = h2o_df[strat_split == 'train']\n",
    "test = h2o_df[strat_split == 'test']\n",
    "\n",
    "feature = ['email_text', 'email_version', 'hour', 'weekday', 'user_country', 'user_past_purchases']\n",
    "target = 'clicked'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "drf Model Build progress: |███████████████████████████████████████████████| 100%\n"
     ]
    }
   ],
   "source": [
    "# Build random forest model\n",
    "model = H2ORandomForestEstimator(balance_classes=True, ntrees=100, max_depth=10, \n",
    "                                 mtries=-1, seed=42, score_each_iteration=True)\n",
    "model.train(x=feature, y=target, training_frame=train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Feature importance\n",
    "importance = model.varimp(use_pandas=True)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 5))\n",
    "sns.barplot(x='scaled_importance', y='variable', data=importance)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "drf prediction progress: |████████████████████████████████████████████████| 100%\n",
      "drf prediction progress: |████████████████████████████████████████████████| 100%\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/sklearn/metrics/classification.py:1135: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.98      1.00      0.99     24470\n",
      "          1       0.00      0.00      0.00       530\n",
      "\n",
      "avg / total       0.96      0.98      0.97     25000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Make predictions\n",
    "train_true = train.as_data_frame()['clicked'].values\n",
    "test_true = test.as_data_frame()['clicked'].values\n",
    "train_pred = model.predict(train).as_data_frame()['p1'].values\n",
    "test_pred = model.predict(test).as_data_frame()['p1'].values\n",
    "\n",
    "train_fpr, train_tpr, _ = roc_curve(train_true, train_pred)\n",
    "test_fpr, test_tpr, _ = roc_curve(test_true, test_pred)\n",
    "train_auc = np.round(auc(train_fpr, train_tpr), 3)\n",
    "test_auc = np.round(auc(test_fpr, test_tpr), 3)\n",
    "\n",
    "# Classification report\n",
    "print(classification_report(y_true=test_true, y_pred=(test_pred > 0.5).astype(int)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ROC curves\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(train_fpr, train_tpr, label='Train AUC: ' + str(train_auc))\n",
    "ax.plot(test_fpr, test_tpr, label='Test AUC: ' + str(test_auc))\n",
    "ax.set_xlabel('False Positive Rate', fontsize=12)\n",
    "ax.set_ylabel('True Positive Rate', fontsize=12)\n",
    "ax.legend(fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PartialDependencePlot progress: |█████████████████████████████████████████| 100%\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x1080 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Partial dependence plot\n",
    "_ = model.partial_plot(train, cols=feature, figsize=(8, 15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H2O session _sid_8665 closed.\n"
     ]
    }
   ],
   "source": [
    "# Shutdown h2o instance\n",
    "h2o.cluster().shutdown()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It seems that currently there are some overfitting, which could be solved with grid search."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on the model built previously, the company can send email to selected users that are predicted to have higher probability to click the link. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To test it, we can conduct A/B test to see if the built model can actually help improve the click-through-rate.\n",
    "* Randomly assign users to two groups, Control group and Experiment group.\n",
    "* In Control group, still use the old email-campaign strategy, i.e., just send emails to all users in Control group.\n",
    "* In Experiment group, use my model to predict whether the user will click the link or not. and only send emails to those users whose predictive result is positive.\n",
    "* Preform a one-tail unpaired t-test to test whether Experiement group's population proportion is higher than Control group's population proportion."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See visualization and partial dependence plot for details, which should be very clear."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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