Table 2.

Final parameter settings for the six algorithms used in this study.

Logistic Regression	kNN	SVM	RF	XGBoost	XGBoost + LR
C = 0.01	k_neighbors = 5	kernel = ‘rbf’	n_estimators = 80	learning_rate = 0.2	learning_rate = 0.2
penalty = ‘l2’	p = 1	C = 100	max_depth = 5	n_estimators = 80	n_estimators = 80
		gamma = 0.001		max_depth = 7	max_depth = 7
				gamma = 0.001	gamma = 0.001