An Interior Point Method for 𝐿_1/2-SVM and Application to Feature Selection in Classification

Table 5

Classification performance comparison on UCI data sets (accuaracy).

No.	UCI Data Set	𝐿2-SVM		𝐿1-SVM		𝐿0-SVM		𝐿1/2-SVM
		Mean	Std	Mean	Std	Mean	Std	Mean	Std
1	Pima diabetes	76.99	3.47	76.73	0.85	76.73	2.94	77.12	1.52
2	Breast cancer	96.18	2.23	97.06	0.96	96.32	1.38	96.47	1.59
3	Wine (3)	97.71	3.73	98.29	1.28	93.14	2.39	97.14	2.56
4	Image (7)	88.94	1.49	91.27	1.77	86.67	4.58	91.36	1.94
5	SPECT	83.40	2.15	78.49	2.31	78.11	3.38	82.34	5.10
6	WDBC	96.11	2.11	96.46	1.31	95.58	1.15	96.46	1.31
7	Ionosphere	83.43	5.44	88.00	3.70	84.57	5.38	87.43	5.94
8	SPECTF	78.49	3.91	74.34	4.50	73.87	3.25	78.49	1.89
9	Sonar	73.66	5.29	75.61	5.82	74.15	7.98	76.10	4.35
10	Musk1	84.84	1.73	82.11	2.42	76.00	5.64	82.32	3.38
	Average accuracy	85.97		85.84		83.51		86.52