From: Sequence-based bacterial small RNAs prediction using ensemble learning strategies
Dataset | Ratio | Method | AUC | ACC | SN | SP |
---|---|---|---|---|---|---|
Balanced | 1:1 | Carter’s method | 0.566 | 0.511 | 0.264 | 0.758 |
Barman’s method | 0.938 | 0.882 | 0.846 | 0.918 | ||
WAEM | 0.942 | 0.887 | 0.888 | 0.868 | ||
NNEM | 0.958 | 0.901 | 0.903 | 0.899 | ||
Imbalanced | 1:2 | Carter’s method | 0.602 | 0.678 | 0.033 | 1.000 |
Barman’s method | 0.937 | 0.884 | 0.851 | 0.916 | ||
WAEM | 0.952 | 0.901 | 0.853 | 0.925 | ||
NNEM | 0.962 | 0.909 | 0.872 | 0.927 | ||
1:3 | Carter’s method | 0.619 | 0.757 | 0.030 | 1.000 | |
Barman’s method | 0.944 | 0873 | 0.818 | 0.927 | ||
WAEM | 0.951 | 0.915 | 0.818 | 0.948 | ||
NNEM | 0.961 | 0.920 | 0.819 | 0.954 | ||
1:4 | Carter’s method | 0.627 | 0.805 | 0.025 | 1.000 | |
Barman’s method | 0.944 | 0.874 | 0.818 | 0.929 | ||
WAEM | 0.957 | 0.929 | 0.817 | 0.956 | ||
NNEM | 0.962 | 0.931 | 0.810 | 0.961 | ||
1:5 | Carter’s method | 0.636 | 0.835 | 0.011 | 1.000 | |
Barman’s method | 0.943 | 0.875 | 0.884 | 0.865 | ||
WAEM | 0.957 | 0.934 | 0.808 | 0.959 | ||
NNEM | 0.961 | 0.940 | 0.782 | 0.972 |