Table 3 Overview of the three machine learning algorithms used in this study, including the implementation in R programing (Libraries) and a list of model hyperparameters (Tuning Parameters).

1. Stochastic Gradient Boosting

GBM

gbm v.2.2.2 ⁶³,

plyr v.1.8.9 ⁶⁴

n.trees, interaction.depth, shrinkage, n.minobsinnode

2. Support Vector Machines with Radial Basis Function Kernel

SVM

kernlab v.0.9.32 ⁶²

sigma, C

3. Random Forest

RF

randomForest v.4.7.1.1 ⁶⁵

mtry