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Table 2 Comparison of classifiers: Mean AUC(std) of 30 iterations

From: New bandwidth selection criterion for Kernel PCA: Approach to dimensionality reduction and classification problems

Data set Kernel function   Preprocessing + LS-SVM classifier   PAM Lasso
  for classification       
   Whole data PCA KPCA t-test (p<0 . 05)   
  RBF 0.769(0.127) 0.793(0.081) 0.822(0.088) 0.835(0.078)   
I lin 0.822(0.068) 0.837(0.088) 0.864(0.078) 0.857(0.078) 0.787(0.097) 0.837(0.116)
  poly 0.818(0.071) 0.732(0.072) 0.825(0.125) 0.845(0.017)   
  RBF 0.637(0.146) 0.749(0.093) 0.780(0.076) 0.779(0.082)   
II lin 0.803(0.059) 0.772(0.094) 0.790(0.075) 0.751(0.071) 0.659(0.084) 0.766(0.074)
  poly 0.701(086) 0.752(0.063) 0.753(0.072) 0.784(0.059)   
  RBF 0.832(0.143) 0.762(0.066) 0.879(0.058) 0.921(0.027)   
III lin 0.915(0.043) 0.785(0.063) 0.878(0.066) 0.941(0.036) 0.707(0.067) 0.9359(0.0374)
  poly 0.775(0.080) 0.685(0.105) 0.8380(0.068) 0.858(0.042)   
  RBF 0.615(0.197) 0.853(0.112) 0.867(0.098) 0.808(0.225)   
IV lin 0.953(0.070) 0.917(0.083) 0.929(0.077) 0.987(0.028) 0.759(0.152) 0.707(0.194)
  poly 0.762(0.118) 0.811(0.140) 0.840(0.131) 0.779(0.123)   
  RBF 0.807(0.238) 0.790(0.140) 0.976(0.035) 0.998(0.005)   
V lin 0.997(0.005) 0.528(0.134) 0.982(0.022) 0.998(0.006) 0.923(0.062) 0.934(0.084)
  poly 0.942(0.051) 0.804(0.121) 0.975(0.028) 0.965(0.049)   
  RBF 0.998(0.001) 0.982(0.002) 0.984(0.012) 0.998(0.004)   
VI lin 0.990(0.005) 0.973(0.002) 0.978(0.013) 0.993(0.013) 0.960(0.016) 0.951(0.045)
  poly 0.998(0.006) 0.985(0.016) 0.973(0.018) 0.995(0.011)   
  RBF 0.946(0.098) 0.941(0.057) 0.932(0.071) 0.967(0.048)   
VII lin 0.983(0.025) 0.947(0.047) 0.954(0.051) 0.987(0.022) 0.931(0.058) 0.952(0.030)
  poly 0.785(0.143) 0.903(0.078) 0.915(0.080) 0.920(0.025)   
  RBF 0.823(0.159) 0.923(0.096) 0.858(0.113) 0.950(0.150)   
VIII lin 0.840(0.164) 0.969(0.044) 0.800(0.019) 0.999(0.005) 0.982(0.050) 0.890(0.081)
  poly 0.781(0.186) 0.870(0.117) 0.785(0.121) 0.998(0.007)   
  RBF 0.638(0.210) 0.823(0.159) 0.852(0.180) 0.815(0.200)   
IX lin 0.931(0.126) 0.840(0.164) 0.846(0.143) 0.930(0.139) 0.703(0.175) 0.705(0.174)
  poly 0.841(0.176) 0.781(0.186) 0.798(0.193) 0.768(0.193)   
  1. p-value: False Discovery Rate (FDR) corrected.