mergeMeltScoreCV: mergeMeltScoreCV

In predomics/predomicspkg: Interpretable Prediction in Omics Data

mergeMeltScoreCV

Description

mergeMeltScoreCV returns a list of data frames that contain the performance of each digest in the list with their sparsity.

Usage

mergeMeltScoreCV(
  list.results.digest,
  k_catalogue,
  generalization = TRUE,
  score = "auc_"
)

Arguments

list.results.digest:	a list of digest objects one for each learner used. For example, list(res.terda.digest, res.terga.digest, res.terbeam.digest)
k_catalogue:	the k_catalogue that will serve to build the result matrix
generalization:	get results from CV generalization (if TRUE) or empirical otherwise (default: TRUE)
score:	the name of the score that needs to be used for the whole dataset visualization.

Details

Merge a list of cross validation scores form digest results

Value

a list of two data.frames

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