Table 7 Performance analysis of different methods of classifier combination
From: Detection of leukocoria using a soft fusion of expert classifiers under non-clinical settings
| Â | 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) |
|μ ε | | 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 |