From: PlantNh-Kcr: a deep learning model for predicting non-histone crotonylation sites in plants
Models | Sn (%) | Sp (%) | ACC (%) | F1Ë—score (%) | MCC (%) | AUC (%) |
---|---|---|---|---|---|---|
iKcr_CNN | 77.2 \(\pm\) 1.07 | 82.0 \(\pm\) 0.79 | 81.0 \(\pm\) 0.45 | 63.1 \(\pm\) 0.39 | 52.5 \(\pm\) 0.51 | 87.6 \(\pm\) 0.18 |
DeepKcrot | 82.8 \(\pm\) 1.53 | 77.9 \(\pm\) 1.46 | 78.9 \(\pm\) 0.85 | 62.3 \(\pm\) 0.56 | 51.9 \(\pm\) 0.59 | 87.6 \(\pm\) 0.26 |
nhKcr | 87.6 \(\pm\) 2.42 | 77.3 \(\pm\) 3.26 | 79.4 \(\pm\) 3.26 | 64.3 \(\pm\) 1.61 | 55.1 \(\pm\) 1.63 | 89.0 \(\pm\) 0.92 |
CapsNh-Kcr | 76.4 \(\pm\) 3.59 | 84.3 \(\pm\) 1.59 | 83.1 \(\pm\) 0.71 | 65.5 \(\pm\) 0.47 | 55.6 \(\pm\) 0.58 | 89.2 \(\pm\) 0.09 |
PlantNh-Kcr | 81.1 \(\pm\) 3.23 | 83.3 \(\pm\) 2.09 | 82.8 \(\pm\) 0.99 | 66.5 \(\pm\) 0.50 | 57.2 \(\pm\) 0.50 | 89.9 \(\pm\) 0.19 |