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Table 3 Comparison of kernels in terms of maximum Az value of mass dataset

From: AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM

kernel type

MGH

WU

WUFSM

SHH

 

8

22

8

22

8

22

8

22

linear

0.90391

0.90364

0.94571

0.92159

0.85718

0.87159

0.97150

0.97036

RBF

0.96664

0.88597

0.95955

0.92540

0.91906

0.91671

0.97404

0.95716

C

10

5

10

10

10

10

10

10

γ

0.25

0.06

0.5

0.075

0.15

0.1

0.5

0.05

  1. Same tradeoff parameter value C is used for both linear and RBF kernels.
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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