Improved Cost-Sensitive Support Vector Machine Classifier for Breast Cancer Diagnosis

Table 4

Summary of attributes for WDBC dataset.

Attribute	Mean	Standard error	Maximum
Radius	6.98~28.11	0.112~2.873	7.93~36.04
Texture	9.71~39.28	0.36~4.89	12.02~49.54
Perimeter	43.79~188.50	0.76~21.98	50.41~251.20
Area	143.50~2501.00	6.80~542.20	185.20~4354.00
Smoothness	0.053~0.163	0.002~0.031	0.071~0.223
Compactness	0.019~0.345	0.002~0.135	0.027~1.058
Concavity	0.000~0.427	0.000~0.396	0.000~1.252
Concavity points	0.000~0.201	0.000~0.053	0.000~0.291
Symmetry	0.106~0.304	0.008~0.079	0.157~0.664
Fractal dimensional	0.050~0.097	0.001~0.030	0.055~0.208