Table 4.
Performance of different multilabel classifiers based on features yielded by Node2vec under ten-fold cross-validation.
| Scheme | Basic classification algorithm | Accuracy | Exact match | Hamming loss | Integrated score |
|---|---|---|---|---|---|
| RAKEL | Support vector machine (polynomial kernel) | 0.774 | 0.698 | 0.050 | 0.513 |
| Support vector machine (RBF kernel) | 0.738 | 0.668 | 0.059 | 0.464 | |
| Random forest | 0.762 | 0.695 | 0.054 | 0.501 | |
| Binary relevance | Support vector machine (polynomial kernel) | 0.734 | 0.631 | 0.049 | 0.440 |
| Support vector machine (RBF kernel) | 0.652 | 0.574 | 0.058 | 0.353 | |
| Random forest | 0.639 | 0.581 | 0.058 | 0.350 |