Table 4. Model parameters setting.

Classifier	Hyper-parameters
AB	n estimators = 500, random state = 2,l earning rate = 0.8, base estimator = Decision Tree (max depth = 15)
RF	n estimators = 500, random state = 2, max depth = 15, criterion = ’en- tropy’
ETC	n estimators = 50, random state = 2, max depth = 15, criterion = ’en- tropy’
LR	random state = 2, solver = ‘liblinear, C = 2.0