Table 2 5-Fold cross-validation performances of methods on Guo dataset
Method | Accuracy (%) | Precision (%) | Recall (%) | Specificity (%) | F1-Score (%) | MCC (%) |
|---|---|---|---|---|---|---|
PIPR (2019) | 96.47 ± 0.21 | 96.31 ± 0.23 | 96.67 ± 0.22 | 96.65 ± 0.22 | 96.48 ± 0.20 | 92.45 ± 0.42 |
FSNN-LGBM (2021) | 98.46 ± 0.20 | 98.73 ± 0.25 | 98.18 ± 0.18 | 98.74 ± 0.25 | 98.45 ± 0.20 | 96.92 ± 0.39 |
MARPPI (2023) | 96.03 ± 0.76 | 98.12 ± 0.98 | 93.51 ± 1.22 | 98.82 ± 0.25 | NA | 91.83 ± 1.32 |
TAGPPI (2022) | 97.81 | 98.10 | 98.26 | 98.10 | 97.80 | 95.63 |
HNSPPI (2023) | 98.57 ± 0.11 | 98.30 ± 0.22 | 98.85 ± 0.13 | NA | 98.57 ± 0.11 | NA |
Our xCAPT5 | 99.76 ± 0.05 | 99.76 ± 0.04 | 99.75 ± 0.07 | 99.77 ± 0.04 | 99.37 ± 0.27 | 99.52 ± 0.10 |