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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.