Table 3.

List of hyperparameters considered in this study.

Model	Hyperparameters
DT	n_estimators(m), max_depth(n), Criterion(p)
RF	n_estimators(m), max_depth(n), Criterion(p)
XGB	n_estimators(m), max_depth(n), Subsample(o), Learning rate
SGB	n_estimators, max_depth’, Subsample(o), Learning rate
SVM	Penalty, loss, C(regularization)
LR	max_iteration, penalty
KNN	n_neighbors, weights, metric