arvindh99 / ann-bank-churn-dataset

Bank Customer Churn Prediction using ANN

This repository contains the Bank Churn dataset and the implementation of an Artificial Neural Network (ANN) algorithm for predicting customer churn. The dataset includes various features related to bank customers and whether they churned or not.

Dataset Description

The Bank Churn dataset consists of the following columns:

• Independent Variables:

  • CreditScore, Geography, Gender, Age, Tenure, Balance, NumOfProducts, HasCrCard, IsActiveMember, EstimatedSalary.

• Dependent Variables:

  • Exited

Implementation Details

• Algorithm Used

  • Artificial Neural Network (ANN)

• Test Accuracy

  • 86.1%

Results

The ANN model achieved a test accuracy of 86.1% on the Bank Churn dataset.