analyse stability of models from digest

This function analyses prevalence of features of best model of different sparsity in crossval (here still k-folds)

Usage

bestModelFeatureStability(X, y, clf, digested.result, method = "fuzzy")

Arguments

X:

dataset to classify

y:

variable to predict

clf:

an object containing the different parameters of the classifier

digested.result:

the digest result from digest

method:

wether to compute the stability of the best compared to the best in the folds (exact), or the top best (fuzzy)

Value

an object with first a list of feature presence tables for each k_sparsity and a list of feature presence frequency