📊Analyse de donnéesIntermediateAll AIs
Explain model predictions with SHAP
Make model predictions explainable
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Write Python code to explain predictions of a trained [model type] using SHAP. Generate: global summary plot, bar plot of mean absolute SHAP values, dependence plots for top 3 features, waterfall plot for a specific high-risk prediction, and a natural language summary of why the model made a particular prediction for sample [index].
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Make model predictions explainable
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