What is the difference between predict_proba and decision_function?

predict_proba returns class probabilities, while decision_function returns raw confidence scores.

predict_proba outputs normalized probabilities (0–1) for each class, typically used in probabilistic interpretation. decision_function returns unbounded scores representing distance from decision boundary. Some models like SVM use decision_function instead of probabilities unless calibrated.