calculateBinomialP 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
the total number of features in X. Should be a positive integer >1
what percentage of L do we subsample at each tree? Should be a proportion between (0,1)
If L is an integeter returns a probability value for selecting predictor Xj randomly
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