Table 4.

Leave-One-Out Cross-Validation (LOOCV) accuracy, F1 score, and MCC values achieved by all the scenarios using KNN, SVM, and RF classifiers.

	Weighted KNN					Linear SVM					RF
	Sc1	Sc2	Sc3	Sc4	Sc5	Sc1	Sc2	Sc3	Sc4	Sc5	Sc1	Sc2	Sc3	Sc4	Sc5
Accuracy	0.926	0.963	0.952	0.905	0.952	0.926	0.889	0.952	0.952	0.952	0.815	0.889	1	0.952	0.952
F1 score	0.889	0.947	0.909	0.800	0.909	0.889	0.842	0.909	0.909	0.909	0.737	0.824	1	0.909	0.909
MCC	0.833	0.922	0.884	0.767	0.884	0.833	0.759	0.884	0.884	0.884	0.596	0.745	1	0.884	0.884

Sc1-Sc5 corresponds to the FV Scenario 1-Scenario 5 of Table 3, respectively.