A new explainability method converts Isolation Forest models into directed graphs and assigns each split an Inlier-Outlier Propagation Score measuring how strongly a feature directs data toward outlier classification.
A general-purpose method for applying explainable AI for anomaly detection
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Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest
A new explainability method converts Isolation Forest models into directed graphs and assigns each split an Inlier-Outlier Propagation Score measuring how strongly a feature directs data toward outlier classification.