Table 3.
Machine learning models considered for ensembling; their respective R packages, methods and tuning parameters
| Machine learning model | Function | Package | Tuning parameter |
|---|---|---|---|
| BlackBoost [40] | blackboost | mboost | none |
| Avnnet [41] | avNNet | caret | size = 5, linout = TRUE, trace = FALSE |
| regularised random forest (RRF) [42] | RRF | RRF | none |
| support vector machine (SVM) [43] | ksvm | kernlab | kernel = ‘rbfdot’, prob.model = TRUE |
| random forest [44] | randomForest | randomForest | ntree = 500, mtry = 3 |
| GBM [45] | gbm | gbm | var.monotone, distribution = ‘gaussian’, n.trees = 1000 |