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This function marks the features of an object of class randomForest.

Usage

mark_randomForest(object, marking.system = c("presence", "frequency"))

Arguments

marking.system

a length-one character vector, indicating a strategy for marking the features. Available options are "presence" (default) and "frequency"

obejct

an object of class Trained

Value

A list with one element per response, containing the marks for the features

Details

The features in the Trained object in input are marked, i.e. a numerical value is assigned to each feature based on the choice of marking.system.

If marking.system = "presence", a binary value of 1/0 is assigned to the features by their presence in the model: 1 is given to features that were used in the random forest, 0 otherwise.

If marking.system = "frequency", the frequencies that features appear in trees are used as marks.

Author

Alessandro Barberis