mergeMeltScoreCV

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.

Value

a list of two data.frames

Details

Merge a list of cross validation scores form digest results