Filter our base level 1 models that do not perform sufficiently well

Filter our base level 1 models that do not perform sufficiently well

filterBaseModels(resultList, filterSettings)

Arguments

resultList

A list of runPlp() result objects (the level 1 models that are candidates for the ensemble level 1 models)

filterSettings

A list containing the settings that specify how to filter the candidate level 1 models

Examples

if (FALSE) { # \dontrun{

# only include models with an AUROC of 0.7 or higher for cross validation

level1Models <- filterBaseModels(
resultList, 
filterSettings = list(
evaluation = 'CV',
metric = 'AUROC',
minValue = 0.7
)
)

} # }