Customer Churn Prediction Web App

This is a simple Flask web application that predicts whether a customer will churn (leave) or not, based on their service details.
It uses a Random Forest Classifier trained on customer data, with preprocessing steps including encoding categorical features and scaling numerical features.

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Features

• Predict customer churn (Churn/No Churn) with probability
• User-friendly web interface
• Preprocessing using saved encoders and scaler
• Random Forest-based prediction model

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Input Fields

• Gender
• Senior Citizen (0 or 1)
• Partner (Yes/No)
• Dependents (Yes/No)
• Tenure (integer, months)
• Phone Service (Yes/No)
• Multiple Lines (Yes/No/No phone service)
• Internet Service (DSL/Fiber optic/No)
• Online Security (Yes/No/No internet service)
• Online Backup (Yes/No/No internet service)
• Device Protection (Yes/No/No internet service)
• Tech Support (Yes/No/No internet service)
• Streaming TV (Yes/No/No internet service)
• Streaming Movies (Yes/No/No internet service)
• Contract (Month-to-month/One year/Two year)
• Paperless Billing (Yes/No)
• Payment Method (Electronic check/Mailed check/Bank transfer/Credit card)
• Monthly Charges (float)
• Total Charges (float)

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Prediction Output

• Result: "Churn" or "No Churn"
• Probability: Confidence score (0 to 1)

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Model Details

• Algorithm: Random Forest Classifier
• Preprocessing:
  • Encoding categorical variables
  • Scaling numerical features

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License

This project is for educational purposes.

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