Table 5.

Cross-validation performance of the proposed ALC and other classifiers on the Wine dataset (mean over 10-folds).

Metric	ALC	XGB	SVM	MLP	LR
Loss	0.0011	0.0691	0.0001	0.0568	0.0012
Accuracy	1.0000	0.9258	1.0000	1.0000	1.0000
Precision	1.0000	0.9534	1.0000	1.0000	1.0000
Recall	1.0000	0.9424	1.0000	1.0000	1.0000
F1-Score	1.0000	0.9429	1.0000	1.0000	1.0000
Overfitting	0.0000%	0.0675%	0.0000%	-0.0068%	0.0000%
Time (sec.)	2.38	1.17	3.89	3.89	3.92