Table 2.

Tested ML methods and hyper-parameters with ranges used during hyper-parameter-tuning.

ML Method	Hyper-Parameter	Description	Values
Random forest	N_estimators	Number of trees	[3,5,8,10,15]
XGBoost_classifier	N_estimators	Number of trees	[3,5,8,10,15]
	Max_depth	Depth of the individual trees	[2,3,5,7,10,12,15]
SVM
KNN	k	Number of neighbours used for a prediction	[3,5,8,10,15]