bestModelFeatureStability: analyse stability of models from digest

In predomics/predomicspkg: Interpretable Prediction in Omics Data

analyse stability of models from digest

Description

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

predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.