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

AnalyseStableModels_LOO(X, y, clf, tmp, loo)

Arguments

X:

dataset to classify

y:

variable to predict

clf:

an object containing the different parameters of the classifier

tmp:

the digested result object from digest

Value

a list of each sparsity the frequency of each feature of empirical best model in k-folds cross validation