Table 5. R packages used and the optimal model parameters given.
| Method | Parameters | Best parameter setting | R packages |
|---|---|---|---|
| Support vector machine | sigma | 0.664667494 | kernlab 0.9-29 |
| C | 11.07262251 | ||
| C5.0 | winnow | FALSE | C50 0.1.3 |
| trials | 43 | ||
| Deep neural network | hidden | 200 | h2o 3.30.0.1 |
| input_dropout_ratio | 0 | ||
| activation | Maxout | ||
| eXtreme gradient boosting | nrounds | 154 | xgboost 1.0.0.2 |
| max_depth | 10 | ||
| eta | 0.745922343 | ||
| gamma | 3.194824195 | ||
| colsample_bytree | 0.945590117 | ||
| min_child_weight | 3.35705624 | ||
| subsample | 0.802348509 | ||
| Random Forest | mtry | 2 | randomForest 4.6-14 |