情境
Model explainability often starts with a small tree. This Iris example mirrors the structure exported by CART tools: feature thresholds inside split nodes, impurity metrics, samples, and class-labelled leaves.
Machine-learning decision tree for the classic Iris classifier with split thresholds, sample counts, Gini impurity, and class leaves.
Model explainability often starts with a small tree. This Iris example mirrors the structure exported by CART tools: feature thresholds inside split nodes, impurity metrics, samples, and class-labelled leaves.