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. 2012 Oct 2;7:33. doi: 10.1186/1745-6150-7-33

Table 1.

The bootstrap based classification accuracies, stability index and number of reselected genes in all bootstrap samples of the SVM-classifier and the LDA-classifier based on all tested gene selection methods, on the LUNG dataset

method
 stability index
 Reselected genes
 Classification method
 Best result
 
  
  
  
  
  
 SVM OvO
 SVM OvR
 MSVM
 LDA
  
  
  
      s1 s2   acc acc acc acc acc accL accH
SIMPLS
 OvO
 1 comp.
 0.86
 0.69
 84
 0.954
 0.946
 0.951
 0.956
 0.956
 0.930
 0.978
 
 OvR
 1 comp.
 0.86
 0.74
 78
 0.950
 0.945
 0.947
 0.965
 0.965
 0.937
 0.985
 
 MCLASS
 1 comp.
 0.88
 0.79
 70
 0.917
 0.882
 0.892
 0.895
 0.917
 0.868
 0.956
 
 OvO
 5 comp.
 0.60
 0.51
 186
 0.950
 0.928
 0.944
 0.966
 0.966
 0.933
 0.986
 
 OvR
 5 comp.
 0.71
 0.61
 170
 0.958
 0.946
 0.953
 0.963
 0.963
 0.940
 0.986
 
 MCLASS
 5 comp.
 0.75
 0.58
 103
 0.953
 0.945
 0.949
 0.917
 0.953
 0.920
 0.979
 
 OvO
 10 comp.
 0.58
 0.44
 214
 0.949
 0.928
 0.941
 0.946
 0.949
 0.913
 0.979
 
 OvR
 10 comp.
 0.63
 0.49
 228
 0.955
 0.944
 0.950
 0.961
 0.961
 0.931
 0.983
 
 MCLASS
 10 comp.
 0.72
 0.48
 128
 0.955
 0.949
 0.950
 0.943
 0.955
 0.919
 0.985
NIPALS
 OvO
 1 comp.
 0.86
 0.69
 84
 0.954
 0.946
 0.951
 0.956
 0.956
 0.930
 0.978
 
 OvR
 1 comp.
 0.86
 0.74
 78
 0.950
 0.945
 0.947
 0.965
 0.965
 0.937
 0.985
 
 MCLASS
 1 comp.
 0.88
 0.79
 70
 0.917
 0.882
 0.892
 0.895
 0.917
 0.868
 0.956
 
 OvO
 5 comp.
 0.68
 0.60
 151
 0.949
 0.932
 0.943
 0.956
 0.956
 0.924
 0.980
 
 OvR
 5 comp.
 0.76
 0.62
 126
 0.954
 0.946
 0.949
 0.954
 0.954
 0.923
 0.980
 
 MCLASS
 5 comp.
 0.74
 0.62
 111
 0.949
 0.940
 0.944
 0.930
 0.949
 0.907
 0.979
 
 OvO
 10 comp.
 0.66
 0.46
 143
 0.946
 0.920
 0.936
 0.927
 0.946
 0.907
 0.978
 
 OvR
 10 comp.
 0.71
 0.51
 134
 0.950
 0.938
 0.944
 0.936
 0.950
 0.910
 0.979
 
 MCLASS
 10 comp.
 0.73
 0.55
 121
 0.951
 0.944
 0.947
 0.911
 0.951
 0.912
 0.979
RFE
 OvO
  
 0.44
 0.35
 487
 0.962
 0.953
 0.961
 0.977
 0.977
 0.947
 0.999
 
 OvR
  
 0.30
 0.20
 808
 0.965
 0.961
 0.964
 0.968
 0.968
 0.938
 0.992
T-TEST
 OvO
  
 0.09
 0.07
 333
 0.956
 0.939
 0.951
 0.951
 0.956
 0.923
 0.985
 
 OvR
  
 0.47
 0.40
 624
 0.939
 0.925
 0.934
 0.850
 0.939
 0.896
 0.977
GS
 OvO
  
 0.52
 0.42
 453
 0.962
 0.944
 0.957
 0.973
 0.973
 0.946
 0.994
 
 OvR
  
 0.62
 0.49
 305
 0.964
 0.953
 0.961
 0.971
 0.971
 0.943
 0.994
  MCLASS   0.65 0.53 243 0.935 0.900 0.921 0.943 0.943 0.883 0.974

aThe number of selected genes is set to 30 In last 3 columns is the best accuracy rate together with their bootstrap based standard deviations (accL,accH). The number of reselected genes is the sum of non zero bootstrap-based feature ranked genes (BBFR).