What do SHAP values explain?

Question: What do SHAP values aim to explain? A) How much each feature contributes to an individual model prediction B) The physical location of model weights in GPU memory C) The number of epochs needed for training D) The exact random seed used by the model Correct: A Explanation: SHAP values assign each feature a contribution to a specific prediction using ideas from Shapley values. They are commonly used for local model interpretability. Topic: advanced ML / explainability / SHAP