SHAP attribution profiles can identify complementary anomaly detectors whose divergence in explanations predicts non-overlapping detections, enabling stronger ensembles when high individual performance is maintained.
Beyond the single-best model: Rashomon partial depen- dence profile for trustworthy explanations in automl
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Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity
SHAP attribution profiles can identify complementary anomaly detectors whose divergence in explanations predicts non-overlapping detections, enabling stronger ensembles when high individual performance is maintained.