iKF is an iterative random-forest variant that ranks variables and interaction paths by permutation importance, and the authors report it recovers known interactions better than its main baseline, iRF, in simulations and on Drosophila enhancer data.
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Post-hoc Interpretability Illumination for Scientific Interaction Discovery
iKF is an iterative random-forest variant that ranks variables and interaction paths by permutation importance, and the authors report it recovers known interactions better than its main baseline, iRF, in simulations and on Drosophila enhancer data.