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Table 2 Percentage of the features with zero effect size for every rank position

From: A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions

Sample size 1000

Information gain:

IG2

IG3

Percent of cases:

25%

50%

25

50%

 F1

0%

0%

0%

0%

 F2

0%

0%

0%

0%

 F3

0%

15%

0%

0%

 F4

76%

70%

23%

83%

 F5

91%

92%

65%

92%

Sample size 10,000

Information gain:

IG2

IG3

Percent of cases:

25%

50%

25%

50%

 F1

0%

0%

0%

0%

 F2

0%

0%

0%

0%

 F3

0%

17%

0%

0%

 F4

85%

54%

16%

47%

 F5

94%

84%

59%

88%

  1. F1, F2, etc. – feature ranks, PFI permutation feature importance, BIC build-in coefficients, SHAP shapley additive explanations, IG information gain