Table 8 Performance of species-specific models on independent tests
From: PlantNh-Kcr: a deep learning model for predicting non-histone crotonylation sites in plants
Species | Sn (%) | Sp (%) | ACC (%) | F1-score (%) | MCC (%) | AUC (%) |
|---|---|---|---|---|---|---|
Wheat | 73.3 ± 5.12 | 77.6 ± 4.26 | 76.5 ± 1.95 | 60.7 ± 0.53 | 46.2 ± 0.86 | 83.1 ± 0.36 |
Tabacum | 72.4 ± 2.28 | 77.1 ± 1.06 | 76.0 ± 0.43 | 59.7 ± 0.77 | 44.7 ± 1.06 | 82.7 ± 0.77 |
Rice | 66.2 ± 5.53 | 83.2 ± 3.46 | 80.4 ± 2.07 | 52.8 ± 1.11 | 43.2 ± 1.31 | 83.6 ± 0.80 |
Peanut | 83.7 ± 2.55 | 84.8 ± 1.58 | 84.6 ± 0.84 | 67.1 ± 0.65 | 59.6 ± 0.62 | 92.0 ± 0.17 |
Papaya | 84.4 ± 2.90 | 80.5 ± 2.26 | 81.4 ± 1.20 | 66.0 ± 0.85 | 56.6 ± 0.93 | 90.2 ± 0.19 |