Fig. 1From: A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactionsEffect size per feature rank estimated by PFI, BIC, SHAP and HIBACHI sensitivity analysis for sample size 1000 (a) and 10,000 (b). F1, F2, etc. – feature ranks, PFI -permutation feature importance, BIC – build-in coefficients, SHAP - shapley additive explanations, IG- Information Gain, p25, p50 – percentage of casesBack to article page