Table 6. Multi-class classification results comparison using Gradient Boost.

Performance metric	Benchmark			MIAS_TS
	Lash & Zhao (2016)	Gao et al. (2019)	Ahmed, Waqas & Afzal (2020)
Accuracy	0.804	0.841	0.567	0.924
Precision	0.810	0.843	0.579	0.926
Recall	0.805	0.841	0.567	0.927
AUC	0.856	0.879	0.663	0.944
F1-Score	0.810	0.843	0.567	0.926