Human View Explanations
Christoph and Tim delve into the human perspective on what constitutes a good explanation, exploring the contrastive, short, and confirmatory nature of explanations. They discuss the balance between sparsity and addressing all causes in explanations, shedding light on the multifaceted dimensions of interpretability.In this clip
From this podcast
Machine Learning Street Talk (MLST)
047 Interpretable Machine Learning - Christoph Molnar
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