Table 3.
Performance of different multilabel classifiers based on features yielded by DeepWalk under ten-fold cross-validation.
| Scheme | Basic classification algorithm | Accuracy | Exact match | Hamming loss | Integrated score |
|---|---|---|---|---|---|
| RAKEL | Support vector machine (polynomial kernel) | 0.333 | 0.290 | 0.145 | 0.083 |
| Support vector machine (RBF kernel) | 0.342 | 0.304 | 0.140 | 0.089 | |
| Random forest | 0.334 | 0.297 | 0.142 | 0.085 | |
| Binary relevance | Support vector machine (polynomial kernel) | 0.297 | 0.213 | 0.143 | 0.054 |
| Support vector machine (RBF kernel) | 0.059 | 0.057 | 0.118 | 0.003 | |
| Random forest | 0.142 | 0.118 | 0.121 | 0.015 |