Feature importance estimates from LIME, SHAP variants, and Tree Interpreter for tree models vary with data noise, correlation, and imbalance, and no method matches a hand-defined ground truth across settings.
BMC Bioinformatics 8(1), 25 (2007)
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Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models
Feature importance estimates from LIME, SHAP variants, and Tree Interpreter for tree models vary with data noise, correlation, and imbalance, and no method matches a hand-defined ground truth across settings.