Filter our base level 1 models that do not perform sufficiently well
filterBaseModels.RdFilter 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) {
# 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
)
)
}