Exploring Explainable Algorithms
Lucas Murtinho discusses the experiments conducted on various datasets to analyze the trade-off between explainability and partition quality in decision trees. He emphasizes the importance of making algorithms explainable in practice and recommends using a small penalty factor to strike the right balance.In this clip
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