Tree Model Explanations
Keith and Tim discuss the limitations of tree models in providing explanations, highlighting how focusing on isolated cutoff points can be misleading. They delve into the concept of counterfactual examples within decision trees, shedding light on the challenges of interpreting model outputs.In this clip
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Machine Learning Street Talk (MLST)
Explainability, Reasoning, Priors and GPT-3
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