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