From: Sequence-based bacterial small RNAs prediction using ensemble learning strategies
Dataset | Ratio | Method | AUC | ACC | SN | SP |
---|---|---|---|---|---|---|
Balanced | 1:1 | WAEM | 0.942 | 0.887 | 0.888 | 0.868 |
NNEM | 0.958 | 0.901 | 0.903 | 0.899 | ||
Imbalanced | 1:2 | WAEM | 0.952 | 0.901 | 0.853 | 0.925 |
NNEM | 0.962 | 0.909 | 0.872 | 0.927 | ||
1:3 | WAEM | 0.951 | 0.915 | 0.818 | 0.948 | |
NNEM | 0.961 | 0.920 | 0.819 | 0.954 | ||
1:4 | WAEM | 0.957 | 0.929 | 0.817 | 0.956 | |
NNEM | 0.962 | 0.931 | 0.810 | 0.961 | ||
1:5 | WAEM | 0.957 | 0.934 | 0.808 | 0.959 | |
NNEM | 0.961 | 0.940 | 0.782 | 0.972 |