calculateBinomialP_Interaction {binomialRF} | R Documentation |
calculateBinomialP_Interaction
returns a probability of randomly selecting a feature as the root node in a decision tree. This is a generic function that is called internally in binomialRF
but that may also be called directly if needed. The arguments ...
should be, L= Total number of features in X, and percent_features= what percent of L is subsampled in the randomForest
call.
calculateBinomialP_Interaction(L, percent_features, K = 2)
L |
the total number of features in X. Should be a positive integer >1 |
percent_features |
what percentage of L do we subsample at each tree? Should be a proportion between (0,1) |
K |
interaction level |
If L is an integeter returns a probability value for selecting predictor Xj randomly
calculateBinomialP_Interaction(110, .4,2 )