{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "___\n", "\n", "\n", "___\n", "
Copyright by Pierian Data Inc.
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For more information, visit us at www.pieriandata.com
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Supervised Learning Capstone Project - Tree Methods Focus - SOLUTIONS\n", "\n", "\n", "\n", "## Make sure to review the introduction video to understand the 3 ways of approaching this project exercise!\n", "\n", "----\n", "\n", "**Ways to approach the project:**\n", " 1. Open a new notebook, read in the data, and then analyze and visualize whatever you want, then create a predictive model.\n", " 2. Use this notebook as a general guide, completing the tasks in bold shown below.\n", " 3. Skip to the solutions notebook and video, and treat project at a more relaxing code along walkthrough lecture series.\n", "\n", "------\n", "------\n", "\n", "## GOAL: Create a model to predict whether or not a customer will Churn .\n", "\n", "----\n", "----\n", "\n", "\n", "## Complete the Tasks in Bold Below!\n", "\n", "## Part 0: Imports and Read in the Data\n", "\n", "**TASK: Run the filled out cells below to import libraries and read in your data. The data file is \"Telco-Customer-Churn.csv\"**" ] }, { "cell_type": "code", "execution_count": 132, "metadata": {}, "outputs": [], "source": [ "# RUN THESE CELLS TO START THE PROJECT!\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns" ] }, { "cell_type": "code", "execution_count": 133, "metadata": {}, "outputs": [], "source": [ "df = pd.read_csv('../DATA/Telco-Customer-Churn.csv')" ] }, { "cell_type": "code", "execution_count": 134, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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customerIDgenderSeniorCitizenPartnerDependentstenurePhoneServiceMultipleLinesInternetServiceOnlineSecurity...DeviceProtectionTechSupportStreamingTVStreamingMoviesContractPaperlessBillingPaymentMethodMonthlyChargesTotalChargesChurn
07590-VHVEGFemale0YesNo1NoNo phone serviceDSLNo...NoNoNoNoMonth-to-monthYesElectronic check29.8529.85No
15575-GNVDEMale0NoNo34YesNoDSLYes...YesNoNoNoOne yearNoMailed check56.951889.50No
23668-QPYBKMale0NoNo2YesNoDSLYes...NoNoNoNoMonth-to-monthYesMailed check53.85108.15Yes
37795-CFOCWMale0NoNo45NoNo phone serviceDSLYes...YesYesNoNoOne yearNoBank transfer (automatic)42.301840.75No
49237-HQITUFemale0NoNo2YesNoFiber opticNo...NoNoNoNoMonth-to-monthYesElectronic check70.70151.65Yes
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5 rows × 21 columns

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" ], "text/plain": [ " customerID gender SeniorCitizen Partner Dependents tenure PhoneService \\\n", "0 7590-VHVEG Female 0 Yes No 1 No \n", "1 5575-GNVDE Male 0 No No 34 Yes \n", "2 3668-QPYBK Male 0 No No 2 Yes \n", "3 7795-CFOCW Male 0 No No 45 No \n", "4 9237-HQITU Female 0 No No 2 Yes \n", "\n", " MultipleLines InternetService OnlineSecurity ... DeviceProtection \\\n", "0 No phone service DSL No ... No \n", "1 No DSL Yes ... Yes \n", "2 No DSL Yes ... No \n", "3 No phone service DSL Yes ... Yes \n", "4 No Fiber optic No ... No \n", "\n", " TechSupport StreamingTV StreamingMovies Contract PaperlessBilling \\\n", "0 No No No Month-to-month Yes \n", "1 No No No One year No \n", "2 No No No Month-to-month Yes \n", "3 Yes No No One year No \n", "4 No No No Month-to-month Yes \n", "\n", " PaymentMethod MonthlyCharges TotalCharges Churn \n", "0 Electronic check 29.85 29.85 No \n", "1 Mailed check 56.95 1889.50 No \n", "2 Mailed check 53.85 108.15 Yes \n", "3 Bank transfer (automatic) 42.30 1840.75 No \n", "4 Electronic check 70.70 151.65 Yes \n", "\n", "[5 rows x 21 columns]" ] }, "execution_count": 134, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Part 1: Quick Data Check\n", "\n", "**TASK: Confirm quickly with .info() methods the datatypes and non-null values in your dataframe.**" ] }, { "cell_type": "code", "execution_count": 135, "metadata": {}, "outputs": [], "source": [ "# CODE HERE" ] }, { "cell_type": "code", "execution_count": 136, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 7032 entries, 0 to 7031\n", "Data columns (total 21 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 customerID 7032 non-null object \n", " 1 gender 7032 non-null object \n", " 2 SeniorCitizen 7032 non-null int64 \n", " 3 Partner 7032 non-null object \n", " 4 Dependents 7032 non-null object \n", " 5 tenure 7032 non-null int64 \n", " 6 PhoneService 7032 non-null object \n", " 7 MultipleLines 7032 non-null object \n", " 8 InternetService 7032 non-null object \n", " 9 OnlineSecurity 7032 non-null object \n", " 10 OnlineBackup 7032 non-null object \n", " 11 DeviceProtection 7032 non-null object \n", " 12 TechSupport 7032 non-null object \n", " 13 StreamingTV 7032 non-null object \n", " 14 StreamingMovies 7032 non-null object \n", " 15 Contract 7032 non-null object \n", " 16 PaperlessBilling 7032 non-null object \n", " 17 PaymentMethod 7032 non-null object \n", " 18 MonthlyCharges 7032 non-null float64\n", " 19 TotalCharges 7032 non-null float64\n", " 20 Churn 7032 non-null object \n", "dtypes: float64(2), int64(2), object(17)\n", "memory usage: 1.1+ MB\n" ] } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Get a quick statistical summary of the numeric columns with .describe() , you should notice that many columns are categorical, meaning you will eventually need to convert them to dummy variables.**" ] }, { "cell_type": "code", "execution_count": 137, "metadata": {}, "outputs": [], "source": [ "# CODE HERE" ] }, { "cell_type": "code", "execution_count": 138, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SeniorCitizentenureMonthlyChargesTotalCharges
count7032.0000007032.0000007032.0000007032.000000
mean0.16240032.42178664.7982082283.300441
std0.36884424.54526030.0859742266.771362
min0.0000001.00000018.25000018.800000
25%0.0000009.00000035.587500401.450000
50%0.00000029.00000070.3500001397.475000
75%0.00000055.00000089.8625003794.737500
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" ], "text/plain": [ " SeniorCitizen tenure MonthlyCharges TotalCharges\n", "count 7032.000000 7032.000000 7032.000000 7032.000000\n", "mean 0.162400 32.421786 64.798208 2283.300441\n", "std 0.368844 24.545260 30.085974 2266.771362\n", "min 0.000000 1.000000 18.250000 18.800000\n", "25% 0.000000 9.000000 35.587500 401.450000\n", "50% 0.000000 29.000000 70.350000 1397.475000\n", "75% 0.000000 55.000000 89.862500 3794.737500\n", "max 1.000000 72.000000 118.750000 8684.800000" ] }, "execution_count": 138, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Part 2: Exploratory Data Analysis\n", "\n", "## General Feature Exploration\n", "\n", "**TASK: Confirm that there are no NaN cells by displaying NaN values per feature column.**" ] }, { "cell_type": "code", "execution_count": 139, "metadata": {}, "outputs": [], "source": [ "# CODE HERE" ] }, { "cell_type": "code", "execution_count": 140, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "customerID 0\n", "gender 0\n", "SeniorCitizen 0\n", "Partner 0\n", "Dependents 0\n", "tenure 0\n", "PhoneService 0\n", "MultipleLines 0\n", "InternetService 0\n", "OnlineSecurity 0\n", "OnlineBackup 0\n", "DeviceProtection 0\n", "TechSupport 0\n", "StreamingTV 0\n", "StreamingMovies 0\n", "Contract 0\n", "PaperlessBilling 0\n", "PaymentMethod 0\n", "MonthlyCharges 0\n", "TotalCharges 0\n", "Churn 0\n", "dtype: int64" ] }, "execution_count": 140, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK:Display the balance of the class labels (Churn) with a Count Plot.**" ] }, { "cell_type": "code", "execution_count": 141, "metadata": {}, "outputs": [], "source": [ "# CODE HERE" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Explore the distrbution of TotalCharges between Churn categories with a Box Plot or Violin Plot.**" ] }, { "cell_type": "code", "execution_count": 143, "metadata": {}, "outputs": [], "source": [ "# CODE HERE" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Create a boxplot showing the distribution of TotalCharges per Contract type, also add in a hue coloring based on the Churn class.**" ] }, { "cell_type": "code", "execution_count": 145, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Create a bar plot showing the correlation of the following features to the class label. Keep in mind, for the categorical features, you will need to convert them into dummy variables first, as you can only calculate correlation for numeric features.**\n", "\n", " ['gender', 'SeniorCitizen', 'Partner', 'Dependents','PhoneService', 'MultipleLines', \n", " 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport', 'InternetService',\n", " 'StreamingTV', 'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod']\n", "\n", "***Note, we specifically listed only the features above, you should not check the correlation for every feature, as some features have too many unique instances for such an analysis, such as customerID***" ] }, { "cell_type": "code", "execution_count": 147, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": 148, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['customerID', 'gender', 'SeniorCitizen', 'Partner', 'Dependents',\n", " 'tenure', 'PhoneService', 'MultipleLines', 'InternetService',\n", " 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport',\n", " 'StreamingTV', 'StreamingMovies', 'Contract', 'PaperlessBilling',\n", " 'PaymentMethod', 'MonthlyCharges', 'TotalCharges', 'Churn'],\n", " dtype='object')" ] }, "execution_count": 148, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "code", "execution_count": 149, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 150, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Contract_Two year -0.301552\n", "StreamingMovies_No internet service -0.227578\n", "StreamingTV_No internet service -0.227578\n", "TechSupport_No internet service -0.227578\n", "DeviceProtection_No internet service -0.227578\n", "OnlineBackup_No internet service -0.227578\n", "OnlineSecurity_No internet service -0.227578\n", "InternetService_No -0.227578\n", "PaperlessBilling_No -0.191454\n", "Contract_One year -0.178225\n", "OnlineSecurity_Yes -0.171270\n", "TechSupport_Yes -0.164716\n", "Dependents_Yes -0.163128\n", "Partner_Yes -0.149982\n", "PaymentMethod_Credit card (automatic) -0.134687\n", "InternetService_DSL -0.124141\n", "PaymentMethod_Bank transfer (automatic) -0.118136\n", "PaymentMethod_Mailed check -0.090773\n", "OnlineBackup_Yes -0.082307\n", "DeviceProtection_Yes -0.066193\n", "MultipleLines_No -0.032654\n", "MultipleLines_No phone service -0.011691\n", "PhoneService_No -0.011691\n", "gender_Male -0.008545\n", "gender_Female 0.008545\n", "PhoneService_Yes 0.011691\n", "MultipleLines_Yes 0.040033\n", "StreamingMovies_Yes 0.060860\n", "StreamingTV_Yes 0.063254\n", "StreamingTV_No 0.128435\n", "StreamingMovies_No 0.130920\n", "Partner_No 0.149982\n", "SeniorCitizen 0.150541\n", "Dependents_No 0.163128\n", "PaperlessBilling_Yes 0.191454\n", "DeviceProtection_No 0.252056\n", "OnlineBackup_No 0.267595\n", "PaymentMethod_Electronic check 0.301455\n", "InternetService_Fiber optic 0.307463\n", "TechSupport_No 0.336877\n", "OnlineSecurity_No 0.342235\n", "Contract_Month-to-month 0.404565\n", "Name: Churn_Yes, dtype: float64" ] }, "execution_count": 150, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "---\n", "\n", "# Part 3: Churn Analysis\n", "\n", "**This section focuses on segementing customers based on their tenure, creating \"cohorts\", allowing us to examine differences between customer cohort segments.**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: What are the 3 contract types available?**" ] }, { "cell_type": "code", "execution_count": 152, "metadata": {}, "outputs": [], "source": [ "# CODE HERE" ] }, { "cell_type": "code", "execution_count": 153, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['Month-to-month', 'One year', 'Two year'], dtype=object)" ] }, "execution_count": 153, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Create a histogram displaying the distribution of 'tenure' column, which is the amount of months a customer was or has been on a customer.**" ] }, { "cell_type": "code", "execution_count": 154, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Now use the seaborn documentation as a guide to create histograms separated by two additional features, Churn and Contract.**" ] }, { "cell_type": "code", "execution_count": 156, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Display a scatter plot of Total Charges versus Monthly Charges, and color hue by Churn.**" ] }, { "cell_type": "code", "execution_count": 158, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": 159, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['customerID', 'gender', 'SeniorCitizen', 'Partner', 'Dependents',\n", " 'tenure', 'PhoneService', 'MultipleLines', 'InternetService',\n", " 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport',\n", " 'StreamingTV', 'StreamingMovies', 'Contract', 'PaperlessBilling',\n", " 'PaymentMethod', 'MonthlyCharges', 'TotalCharges', 'Churn'],\n", " dtype='object')" ] }, "execution_count": 159, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Creating Cohorts based on Tenure\n", "\n", "**Let's begin by treating each unique tenure length, 1 month, 2 month, 3 month...N months as its own cohort.**\n", "\n", "**TASK: Treating each unique tenure group as a cohort, calculate the Churn rate (percentage that had Yes Churn) per cohort. For example, the cohort that has had a tenure of 1 month should have a Churn rate of 61.99%. You should have cohorts 1-72 months with a general trend of the longer the tenure of the cohort, the less of a churn rate. This makes sense as you are less likely to stop service the longer you've had it.**" ] }, { "cell_type": "code", "execution_count": 161, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": 162, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 163, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 164, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "tenure\n", "1 61.990212\n", "2 51.680672\n", "3 47.000000\n", "4 47.159091\n", "5 48.120301\n", " ... \n", "68 9.000000\n", "69 8.421053\n", "70 9.243697\n", "71 3.529412\n", "72 1.657459\n", "Name: customerID, Length: 72, dtype: float64" ] }, "execution_count": 164, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Now that you have Churn Rate per tenure group 1-72 months, create a plot showing churn rate per months of tenure.**" ] }, { "cell_type": "code", "execution_count": 165, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Broader Cohort Groups\n", "**TASK: Based on the tenure column values, create a new column called Tenure Cohort that creates 4 separate categories:**\n", " * '0-12 Months'\n", " * '24-48 Months'\n", " * '12-24 Months'\n", " * 'Over 48 Months' " ] }, { "cell_type": "code", "execution_count": 167, "metadata": {}, "outputs": [], "source": [ "# CODE HERE" ] }, { "cell_type": "code", "execution_count": 168, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 169, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 170, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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tenureTenure Cohort
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" ], "text/plain": [ " tenure Tenure Cohort\n", "0 1 0-12 Months\n", "1 34 24-48 Months\n", "2 2 0-12 Months\n", "3 45 24-48 Months\n", "4 2 0-12 Months\n", "5 8 0-12 Months\n", "6 22 12-24 Months\n", "7 10 0-12 Months\n", "8 28 24-48 Months\n", "9 62 Over 48 Months" ] }, "execution_count": 170, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Create a scatterplot of Total Charges versus Monthly Charts,colored by Tenure Cohort defined in the previous task.**" ] }, { "cell_type": "code", "execution_count": 171, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Create a count plot showing the churn count per cohort.**" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# CODE HERE" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Create a grid of Count Plots showing counts per Tenure Cohort, separated out by contract type and colored by the Churn hue.**" ] }, { "cell_type": "code", "execution_count": 174, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "-----\n", "\n", "# Part 4: Predictive Modeling\n", "\n", "**Let's explore 4 different tree based methods: A Single Decision Tree, Random Forest, AdaBoost, Gradient Boosting. Feel free to add any other supervised learning models to your comparisons!**\n", "\n", "\n", "## Single Decision Tree" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK : Separate out the data into X features and Y label. Create dummy variables where necessary and note which features are not useful and should be dropped.**" ] }, { "cell_type": "code", "execution_count": 178, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": 181, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 182, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Perform a train test split, holding out 10% of the data for testing. We'll use a random_state of 101 in the solutions notebook/video.**" ] }, { "cell_type": "code", "execution_count": 183, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": 184, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 185, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Decision Tree Perfomance. Complete the following tasks:**\n", " 1. Train a single decision tree model (feel free to grid search for optimal hyperparameters).\n", " 2. Evaluate performance metrics from decision tree, including classification report and plotting a confusion matrix.\n", " 2. Calculate feature importances from the decision tree.\n", " 4. OPTIONAL: Plot your tree, note, the tree could be huge depending on your pruning, so it may crash your notebook if you display it with plot_tree." ] }, { "cell_type": "code", "execution_count": 222, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 227, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " No 0.87 0.89 0.88 557\n", " Yes 0.55 0.49 0.52 147\n", "\n", " accuracy 0.81 704\n", " macro avg 0.71 0.69 0.70 704\n", "weighted avg 0.80 0.81 0.81 704\n", "\n" ] } ], "source": [] }, { "cell_type": "code", "execution_count": 228, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 228, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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"text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [] }, { "cell_type": "code", "execution_count": 231, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Random Forest\n", "\n", "**TASK: Create a Random Forest model and create a classification report and confusion matrix from its predicted results on the test set.**" ] }, { "cell_type": "code", "execution_count": 259, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": 269, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " No 0.86 0.89 0.87 557\n", " Yes 0.52 0.44 0.48 147\n", "\n", " accuracy 0.80 704\n", " macro avg 0.69 0.67 0.68 704\n", "weighted avg 0.79 0.80 0.79 704\n", "\n" ] } ], "source": [] }, { "cell_type": "code", "execution_count": 270, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 270, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Boosted Trees\n", "\n", "**TASK: Use AdaBoost or Gradient Boosting to create a model and report back the classification report and plot a confusion matrix for its predicted results**" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#CODE HERE" ] }, { "cell_type": "code", "execution_count": 292, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " No 0.88 0.90 0.89 557\n", " Yes 0.60 0.54 0.57 147\n", "\n", " accuracy 0.83 704\n", " macro avg 0.74 0.72 0.73 704\n", "weighted avg 0.82 0.83 0.83 704\n", "\n" ] } ], "source": [] }, { "cell_type": "code", "execution_count": 293, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 293, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**TASK: Analyze your results, which model performed best for you?**" ] }, { "cell_type": "code", "execution_count": 294, "metadata": {}, "outputs": [], "source": [ "# With base models, we got best performance from an AdaBoostClassifier, but note, we didn't do any gridsearching AND most models performed about the same on the data set." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Great job!" ] } ], "metadata": { "anaconda-cloud": {}, "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": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 1 }