Permutation Feature Importance

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Explainable deep learning models for healthcare - CDSS 3 (Coursera)

Oct 3rd 2022
Explainable deep learning models for healthcare - CDSS 3 (Coursera)
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This course will introduce the concepts of interpretability and explainability in machine learning applications. The learner will understand the difference between global, local, model-agnostic and model-specific explanations. State-of-the-art explainability methods such as Permutation Feature Importance (PFI), Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanation (SHAP) are explained and [...]