Your parameters are sent to a FastAPI backend, which attaches the remaining baseline (average) features, scales the numeric features, and then runs the XGBoost classifier to return predictions.
NOTE: The 7 features listed here are the most important features with the highest influence on the prediction. The remaining features are fixed values based on an average user.
Customer Attributes
Churn Probability
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Awaiting prediction
Model threshold: —
Key Metrics
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CSAT Score
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Tenure (mo)
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Logins/Month
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Total Revenue
Risk Factors
Higher means higher churn risk for that factor.