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Explainable-AI
  • Explainable AI
  • Preface
  • How to use this book?
  • Contents
  • What is Explainable AI?
  • Why do we need Explainablity?
  • Explainable systems and Black box systems
  • Types of Explainability Techniques
  • Explainable Models
    • Linear Regression
      • Assumptions
      • Model
      • Statistical Interpretation
    • Decision Trees
      • How Do They Work?
      • Creating the model
      • Interpretation
  • Explainability Techniques for Classical ML
    • SHAP (SHapley Additive exPlanations)
    • Surrogate model
    • LIME (Local Interpretable Model-Agnostic Explanations)
    • PDP (Partial Dependence Plot)
    • ICE (Individual Conditional Expectation Plots)
    • ALE (Accumulated Local Effects Plot)
  • Datasets
    • Medical Cost Personal Dataset
    • Telecom Churn Dataset
    • Sales Opportunity Size Dataset
    • Pima Indians Diabetes Dataset
  • Implementation of these techniques on different models
    • Logistic Regression - SHAP
    • Random Forest - LIME
    • GBM - PDP
    • GBM - ICE
    • Deep Learning - Surrogate
  • Future scope
  • Contributors
  • Citing this Book
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  1. Datasets

Telecom Churn Dataset

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Last updated 4 years ago

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Description

Maintaining current customers is very important as acquiring new customers is very expensive compared to maintaining current customers. So to understand what rate the customers are leaving Churn is calculated. The dataset contains the customer churn which is calculated by the number of customers who leave the company during a given period. The target variable in the dataset is 'Churn'. There may be many reasons for customer churn like bad onboarding, poor customer service, less engagement, and others.

Data Set Characteristics: Classification - Bivariate

Number of Instances: 6499

Features

  • CustomerID

  • Gender

  • Senior Citizen

  • Partner

  • Dependents

  • Tenure

  • Phone Service

  • Multiple Lines

  • Internet Service

  • Online Security

  • Online Backup

  • Device Protection

  • Tech Support

  • Streaming TV

  • Streaming Movies

  • Contract

  • Paperless Billing

  • Payment Method

  • Monthly Charges

  • Total Charges

  • Churn

Acknowledgments

The dataset was provided by and it is available .

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