Research Article
iMPT-FDNPL: Identification of Membrane Protein Types with Functional Domains and a Natural Language Processing Approach
Table 5
Performance of different multilabel classifiers with features derived from protein networks via a network embedding algorithm.
| Scheme (base classifier) | Exact match | Accuracy | Hamming loss | Integrated score |
| RAKEL (RF) | 0.758 | 0.759 | 0.085 | 0.5264 | RAKEL (SVM-polynomial kernel) | 0.805 | 0.807 | 0.068 | 0.6054 | RAKEL (SVM-RBF kernel) | 0.801 | 0.803 | 0.070 | 0.5981 | BR (RF) | 0.584 | 0.584 | 0.088 | 0.3110 | BR (SVM-polynomial kernel) | 0.712 | 0.730 | 0.068 | 0.4844 | BR (SVM-RBF kernel) | 0.746 | 0.756 | 0.063 | 0.5284 |
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