Fig. 2

Tuning results of model parameters using re-sampling approach. a–i Five models have one adjustment parameter (LR, RF, Lasso, Ridge, and k-NN), and four models have two adjustment parameters (Elastic Net, SVM, NN and XGBoost). For each set of parameters, the model parameters were evaluated for fit using the procedure described in Flowchart 1. The optimal parameters for each model are selected by obtaining the parameters that the model evaluates to the maximum