EURASIP Journal on Wireless Communications and Networking

Table 9 The influence of the vertical grouping of UCI dataset in the GVCA method on classification performance

From: Improvement on the vanishing component analysis by grouping strategy

Group number	Wine			Transfusion			Connectionist Bench			Breast Cancer Wisconsin
Group number	P	R	F1	P	R	F1	P	R	F1	P	R	F1
2	0.90	0.88	0.89	0.92	0.73	0.81	0.76	0.82	0.79	0.91	0.90	0.90
3	0.89	0.92	0.90	0.87	0.79	0.83	0.86	0.85	0.85	0.89	0.87	0.88
4	0.86	0.90	0.88	0.76	0.80	0.78	0.87	0.89	0.88	0.91	0.85	0.88
Group number	Indian Liver Patient			Mammographic Masses			Iris			AVG
Group number	P	R	F1	P	R	F1	P	R	F1	P	R	F1
2	0.86	0.87	0.86	0.87	0.87	0.87	0.92	0.90	0.91	0.83	0.77	0.79
3	0.85	0.86	0.85	0.83	0.80	0.81	0.90	0.93	0.91	0.84	0.80	0.82
4	0.83	0.87	0.85	0.81	0.80	0.81	0.88	0.91	0.89	0.86	0.80	0.83

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