Table 4. The performance of CNN_3 and CNN_4 on the combined dataset.
The training performance on the combined dataset with different ratios collected from 5-fold cross-validation are described.
| Site | Ratio | Model | |||||||
|---|---|---|---|---|---|---|---|---|---|
| CNN_3 | CNN_4 | ||||||||
| AUPRC | Precision | Recall | MCC | AUPRC | Precision | Recall | MCC | ||
| Donor | 1:1 | 0.987 | 0.944 | 0.969 | 0.841 | 0.988 | 0.940 | 0.973 | 0.846 |
| 1:3 | 0.969 | 0.911 | 0.939 | 0.899 | 0.970 | 0.900 | 0.949 | 0.898 | |
| 1:5 | 0.954 | 0.892 | 0.912 | 0.882 | 0.954 | 0.875 | 0.931 | 0.882 | |
| 1:7 | 0.940 | 0.878 | 0.886 | 0.865 | 0.940 | 0.854 | 0.915 | 0.866 | |
| Acceptor | 1:1 | 0.972 | 0.902 | 0.949 | 0.846 | 0.973 | 0.898 | 0.954 | 0.847 |
| 1:3 | 0.933 | 0.850 | 0.894 | 0.827 | 0.935 | 0.839 | 0.907 | 0.828 | |
| 1:5 | 0.903 | 0.820 | 0.851 | 0.802 | 0.904 | 0.806 | 0.870 | 0.806 | |
| 1:7 | 0.877 | 0.804 | 0.811 | 0.780 | 0.878 | 0.788 | 0.835 | 0.783 | |
Notes.
Bold styling emphasizes the highest values regarding the evaluation metrics used in the study.