Table 4.

Overall performance of all methods on multi-classification for all subtypes of breast cancer

Methods	Accuracy	Precision-macro	Recall-macro	F1-macro
Ensmble EN	0.800	0.859	0.759	0.806
Ensmble RF	0.743	0.748	0.630	0.684
Concate EN	0.800	0.859	0.759	0.806
Concate RF	0.790	0.838	0.720	0.775
DIABLO	0.604	0.589	0.632	0.609
SMPSL	0.810	0.793	0.720	0.755
DeepMo	0.849	0.884	0.820	0.851
DSCCN	0.906	0.941	0.905	0.922

The best results are marked in bold