Table 2 Tuning parameters of the predictive models
Models | Tuning |
|---|---|
LR | α (Regularization parameter) |
Elastic Net | γ (Mixing percentage), α (Regularization parameter) |
Lasso | α (Regularization parameter) |
Ridge | α (Regularization parameter) |
SVM | γ (Gaussian kernel), C (Cost) |
RF | n_estimators (#subtrees) |
k-NN | k (#Neighbors) |
NN | Size (#hidden layer units), α (Regularization parameter) |
XGBoost | Depth (maximum depth of number), weight (the smallest sample weight and weight in the child node) |