Table 6.

Global model performance considering an unbalanced class situation for the UCM case study.

ML Algorithm	Accuracy	Precision	TP Rate	FP Rate	F-Measure	RMSE	$\mathit{\kappa }$-Statistic
DT	82.75%	0.840	0.973	0.806	0.902	0.365	0.227
KNN	81.36%	0.822	0.984	0.929	0.896	0.390	0.082
LR	82.42%	0.849	0.954	0.739	0.898	0.373	0.271
NB	79.63%	0.860	0.894	0.631	0.877	0.387	0.283
RF	81.82%	0.829	0.979	0.879	0.897	0.370	0.143
SVM	81.67%	0.828	0.977	0.881	0.897	0.428	0.138