Piecewise-Smooth Support Vector Machine for Classification

Table 1

PWSSVM compared with SSVM, FPSSVM, and TSSVM on NDC generated dataset with difference sizes (𝐶=10).

Trains/dimension	Algorithm	Train correctness (%)	Test correctness (%)	Time (s)
	SSVM	90.86	91.25	278.97
2,000,000/10	FPSSVM	90.86	91.25	367.46
	TSSVM	90.98	91.33	342.45
	PWSSVM	91.34	91.75	339.64
	SSVM	87.64	87.08	417.64
2,000,000/20	FPSSVM	87.88	88.05	449.28
	TSSVM	87.89	88.05	446.45
	PWSSVM	88.14	88.36	449.20
	SSVM	94.26	93.60	11.17
10,000/100	FPSSVM	94.78	93.60	11.33
	TSSVM	94.77	93.77	6.24
	PWSSVM	94.85	95.52	4.26
	SSVM	96.67	86.20	56.22
10,000/1000	FPSSVM	96.69	86.14	66.52
	TSSVM	96.69	86.16	26.69
	PWSSVM	97.94	86.23	18.73