get_bestFeatureSets.RdGet the optinmal feature sets
get_bestFeatureSets( BMR_perf, selectedPATH, lrn = c("svm", "randomForest", "nnTrain"), window_size = 5, confidence_level = 0.05 )
| BMR_perf | a |
|---|---|
| selectedPATH |
|
| lrn |
|
| window_size |
|
| confidence_level |
|
a data.frame with the optimal model number of features and selected features per task.id and learner.id