Table 3.
Performance comparison of proposed ADH-PPI predictor with 10 existing predictors on benchmark H. pylori dataset, where results of existing PPI predictors are taken from (Yu et al., 2021) paper
| Method | ACC (%) | Recall (%) | Precision (%) | MCC |
|---|---|---|---|---|
| SVM [6] | 0.8340 | 0.7990 | 0.8570 | N/A |
| WSR (Nanni, 2005) | 0.8370 | 0.7900 | 0.8700 | N/A |
| Ensemble of HKNN (Nanni and Lumini, 2006) |
0.8660 | 0.8670 | 0.8500 | N/A |
| DCT+WSRC (Huang et al., 2016) | 0.8674 | 0.8643 | 0.8701 | 0.7699 |
| MCD+SVM (You et al., 2014) | 0.8491 | 0.8324 | 0.8612 | 0.7440 |
| MIMI+ NMBAC+RF (Ding et al., 2016) |
0.8759 | 0.8681 | 0.8823 | 0.7524 |
| DeepPPI (Du et al., 2017) | 0.8623 | 0.8944 | 0.8432 | 0.7263 |
| ippi-esml (Jia et al., 2015) | 0.9047 ± 0.84 | 0.9115 ± 1.42 | 0.8999 ± 2.06 | 0.8100 ± 0.0163 |
| WSRC (Kong et al., 2020) | 0.7870 | 0.7321 | NA | 0.7693 |
| GcForest-PPI (Yu et al., 2021) | 0.8926 | 0.8971 | 0.8895 | 0.7857 |
| ADH-PPI | 0.9263 | 0.9609 | 0.9284 | 0.8547 |