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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.