Table 9.

Models hyperparameters settings and hyperparameter range used for tuning.

Model	Hyperparameters setting	Hyperparameter range
RF	n_estimators = 300, max_depth = 25	n_estimators = 20 to 500, max_depth = 2 to 50
LR	multi_class = “multinomial”, C = 2.0	solver = liblinear,saga sag, multi_class = “multinomial”, C = 1.0–5.0
SVC	kernel = “linear”, C = 2.0	kernel = linear, sigmoid, poly, C = 1.0–5.0
KNN	n_neighbors = 4	n_neighbors = 2–6
NB	Default setting	–
ETC	n_estimators = 300, max_depth = 25	n_estimators = 20–500, max_depth = 2–50
DT	max_depth = 25	max_depth = 2–50
ADA	n_estimators = 300, learning_rate = 0.2	n_estimators = 20–500, learning_rate = 0.1–0.8
LVTrees	Model (LR, SVC,ETC), Voting = Hard	Voting = Hard and Soft