Table 15. Classification results of the MLCEFE classifiers test set.

	Class	Precision	Recall	F1 score	Support
C1	1	0.9435	0.9793	0.9610	3,085
	2	0.9663	0.9404	0.9532	9,956
	3	0.8948	0.9198	0.9071	9,956
	4	0.9448	0.9436	0.9442	9,956
	5	0.9287	0.9710	0.9494	5,108
	6	0.5670	0.1230	0.2022	447
	Accuracy			0.9336	38,508
	Macro avg	0.8742	0.8129	0.8195	38,508
C2	1	0.9618	0.9721	0.9670	3,085
	2	0.9666	0.9393	0.9528	9,956
	3	0.8933	0.9197	0.9063	9,956
	4	0.9445	0.9432	0.9438	9,956
	5	0.9193	0.9834	0.9502	5,108
	6	0.4138	0.0537	0.0950	447
	Accuracy			0.8611	38,508
	Macro avg	0.8499	0.8019	0.8025	38,508
C3	1	0.9545	0.9728	0.9636	3,085
	2	0.9662	0.9406	0.9532	9,956
	3	0.8945	0.9193	0.9068	9,956
	4	0.9447	0.9435	0.9441	9,956
	5	0.9125	0.9818	0.9459	5,108
	6	0.0000	0.0000	0.0000	447
	Accuracy			0.9330	38,508
	Macro avg	0.7787	0.7930	0.7856	38,508

Note:

Values in bold represent the optimum values for each group.