Post-hoc explanation cannot be used for ML/DL model when interpretable model cannot be built.a.Trueb.False
Question
Post-hoc explanation cannot be used for ML/DL model when interpretable model cannot be built.a.Trueb.False
Solution
b. False
Post-hoc explanation methods can be used for Machine Learning (ML) or Deep Learning (DL) models even when an interpretable model cannot be built. These methods aim to explain the predictions of any ML/DL model after it has been trained, hence the term "post-hoc". They do not require the model to be interpretable. Examples of such methods include LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive exPlanations).
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