Table 2.

The details of hyper-parameters for ML algorithm

Num	Algorithms	Hyper-parameters
1	SVM	kernel=’rbf’, degree = 3, C = 1.0, probability = True
2	Random Forest	n_estimators = 10, max_depth = None, min_samples_split = 2
3	Extra Trees	n_estimators = 10, max_depth = None, min_samples_split = 2
4	XGBoost	n_estimators = 10, max_depth = 5
5	LightGBM	n_estimators = 10, max_depth = 4