This function makes life simple by automatically interpreting logistic regression and random forest models. The interpretation techniques for logistic regression are ANOVA Type-I and variants of ANOVA Type-II (i.e., Wald, Chisq, and F). The interpretation techniques for random forest are Gini and Permutation (i.e., Scaled and Raw) importance.
1 | get.model.interpretation(model, normalized = F)
|
model |
a logistic regression or random forest model |
normalized |
a logical to indicate whether to normalize importance scores |
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