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. 2014 Sep 9;14:110. doi: 10.1186/1471-2415-14-110

Table 7.

Performance analysis of different methods of classifier combination

Average Weighted avg. Majority Soft fusion
RMSE 0.682 ± 0.021(3) 0.674 ± 0.021(2) 0.705 ± 0.030(4) 0.652 ± 0.014(1)
NRMSE 0.702 ± 0.021(3) 0.694 ± 0.021(2) 0.725 ± 0.031(4) 0.671 ± 0.014(1)
|με| 0.058 ± 0.018(1) 0.065 ± 0.016(2) 0.071 ± 0.023(3) 0.114 ± 0.008(4)
σ ε 0.682 ± 0.021(3) 0.673 ± 0.021(2) 0.703 ± 0.032(4) 0.644 ± 0.015(1)
ACC 0.876 ± 0.011(3) 0.876 ± 0.011(3) 0.876 ± 0.011(3) 0.881 ± 0.011(1)
TPR 0.872 ± 0.009(3) 0.872 ± 0.009(3) 0.872 ± 0.009(3) 0.878 ± 0.008(1)
FPR 0.119 ± 0.026(3) 0.119 ± 0.026(3) 0.119 ± 0.026(3) 0.114 ± 0.024(1)
SPC 0.881 ± 0.026(3) 0.881 ± 0.026(3) 0.881 ± 0.026(3) 0.886 ± 0.024(1)
PPV 0.925 ± 0.015(3) 0.925 ± 0.015(3) 0.925 ± 0.015(3) 0.928 ± 0.014(1)
NPV 0.805 ± 0.011(3) 0.805 ± 0.011(3) 0.805 ± 0.011(3) 0.813 ± 0.011(1)
FDR 0.075 ± 0.015(3) 0.075 ± 0.015(3) 0.075 ± 0.015(3) 0.072 ± 0.014(1)
MCC 0.742 ± 0.024(3) 0.742 ± 0.024(3) 0.742 ± 0.024(3) 0.752 ± 0.023(1)
F 1 0.898 ± 0.008(3) 0.898 ± 0.008(3) 0.898 ± 0.008(3) 0.902 ± 0.008(1)
BER 0.123 ± 0.013(3) 0.123 ± 0.013(3) 0.123 ± 0.013(3) 0.118 ± 0.013(1)
AUC 0.891 ± 0.009(3) 0.891 ± 0.009(2) 0.877 ± 0.013(4) 0.918 ± 0.007(1)
κ 0.739 ± 0.024(3) 0.739 ± 0.024(3) 0.739 ± 0.024(3) 0.750 ± 0.023(1)
Avg. SD 0.0169 0.0168 0.0196 0.0141
Avg. Rank 2.8824 2.6471 3.1176 1.3529

The data in boldface indicates the best ranked classification method of each row.

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