An ISVM Algorithm Based on High-Dimensional Distance and Forgetting Characteristics

Table 13

The F₁-score values comparison of all the algorithms for different datasets.

Datasets	F1-score
	Simple-ISVM	KKT-ISVM	CSV-ISVM	GGKKT-ISVM	CD-ISVM	HDFC-ISVM	HDFC-ISVM
Breast_cancer	0.962	0.960	0.983	0.970	0.980	0.971	0.983
German	0.955	0.941	0.991	0.965	0.953	0.991	0.991
Heart	0.977	0.985	0.986	0.985	0.985	0.987	0.996
Image	0.978	0.947	0.977	0.967	0.978	0.985	0.987
Mushroom	0.966	0.982	0.982	0.985	0.983	0.991	0.991
Thyroid	0.975	0.968	0.981	0.982	0.990	0.986	0.990
Titanic	0.837	0.865	0.834	0.860	0.860	0.842	0.875
Splice	0.905	0.908	0.911	0.910	0.918	0.925	0.924
Diabetes	0.931	0.913	0.931	0.928	0.925	0.933	0.974
Credit	0.918	0.918	0.911	0.911	0.910	0.914	0.919
Spambase	0.836	0.844	0.836	0.843	0.840	0.842	0.862
Waveform	0.718	0.697	0.713	0.713	0.715	0.713	0.740
Mean	0.913	0.910	0.919	0.918	0.920	0.923	0.936