Table 10.

Third-level model performance for the UCM case study.

ML Algorithm	Accuracy	Precision	TP Rate	FP Rate	F-Measure	RMSE	$\mathit{\kappa }$-Statistic	Friedman Value (Ranking)
DT	94.99%	0.955	0.993	0.739	0.974	0.208	0.360	3.35866 (1)
KNN	96.90%	0.977	0.990	0.371	0.984	0.168	0.689	3.43132 (3)
LR	90.58%	0.973	0.926	0.414	0.949	0.305	0.376	3.60561 (5)
NB	88.09%	0.987	0.885	0.181	0.933	0.331	0.396	3.76270 (6)
RF	96.92%	0.969	0.999	0.503	0.984	0.160	0.641	3.38406 (1)
SVM	96.17%	0.978	0.982	0.356	0.980	0.196	0.644	3.45825 (4)