Table 4.

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

Metric	ALC	XGB	SVM	MLP	LR
Loss	0.0261	0.1132	0.1203	0.0682	0.1319
Accuracy	0.9932	0.8927	0.9833	0.9833	0.9559
Precision	0.9943	0.9233	0.9833	0.9833	0.9638
Recall	0.9932	0.9233	0.9833	0.9833	0.9559
F1-Score	0.9932	0.9260	0.9833	0.9833	0.9631
Overfitting	-0.0029%	0.1178%	0.0213%	0.0086%	0.0237%
Time (sec.)	3.62	1.09	3.79	4.53	3.81