Table 2 Top five second retrained models showing best performance
From: Learning to predict single-wall carbon nanotube-recognition DNA sequences
Algorithms | Feature | Optimization | Precision | Recall | F1 score |
|---|---|---|---|---|---|
ANN | tfv 3 | Nh = 11, γ = 1 | 0.600 | 0.632 | 0.615 |
LR | Motif (Lrec ≤ 6) |  | 0.480 | 0.632 | 0.545 |
ANN | Combined tfv2–3 | Nh = 4 | 0.556 | 0.526 | 0.541 |
ANN | Segmented tfv2,3 | Nh = 9 | 0.556 | 0.526 | 0.541 |
ANN | Combined tfv1–2–3 | Nh = 9 | 0.529 | 0.474 | 0.500 |
