SHAP Explainer

Interpretable ML with SHapley Additive exPlanations

Select Customer for Explanation

78%
High Risk
XGBoost v2.3.1

SHAP Force Plot

Shows how each feature pushes the prediction from the base value (average prediction) to the final output.

Increases churn risk
Decreases churn risk

SHAP Waterfall

Feature Contributions

Contract (Month-to-Month) +0.28
Tenure (4 months) +0.21
Support Tickets (5) +0.15
Monthly Charges ($89) +0.08
Internet Service (Fiber) -0.05

Global Feature Importance (SHAP Summary)

SHAP Dependence: Tenure

SHAP Dependence: Monthly Charges

Counterfactual Explanation

What changes would flip this customer from high-risk to low-risk?

Change Contract
Month-to-Month 1-Year
-23% churn probability
Resolve Support Tickets
5 open 0 open
-12% churn probability
Combined Effect
78% risk 28% risk
High → Low Risk