Customer Churn Prediction
Predict customer churn risk using advanced machine learning algorithms. Enter customer details below to receive an instant prediction powered by Logistic Regression trained on real telecom data.
Prediction Accuracy Notice
If you do not fill in all the fields, the model will generate an initial prediction, but the accuracy may be lower. If you provide all required inputs, you will receive a much more accurate prediction score.
Enter customer details and click "Predict Churn Risk" to see results
This prediction model uses Logistic Regression based on patterns from your telecom dataset analysis.
Key factors: Contract type, tenure length, monthly charges, internet service type, and additional service subscriptions.
Model accuracy: ~81.5% (based on your training results)
Trained on 7,043 customer records with comprehensive feature analysis
Multi-dimensional analysis including demographics, services, and billing
Get actionable insights and recommendations in milliseconds
How It Works
Input Data
Enter customer demographics, account info, services, and billing details
AI Analysis
Logistic regression model processes 19 features to calculate churn probability
Get Insights
Receive risk assessment with actionable retention strategies