Research Article
Prescription Function Prediction Using Topic Model and Multilabel Classifiers
Table 9
Average performance of multilabel classifiers.
| Classifier | Feature space | Precision | Recall | Micro-F1 |
| SVM | TFIDF | 0.6202 | 0.3945 | 0.4822 | Attributes | 0.6510 | 0.4102 | 0.5033 | TFIDF + attributes | 0.7359 | 0.4823 | 0.5827 |
| Adaboost | TFIDF | 0.5729 | 0.3102 | 0.4025 | Attributes | 0.6856 | 0.3358 | 0.4508 | TFIDF + attributes | 0.6894 | 0.3475 | 0.4621 |
| Bayes Network | TFIDF | 0.5126 | 0.4325 | 0.4691 | Attributes | 0.6179 | 0.4218 | 0.5013 | TFIDF + attributes | 0.6397 | 0.5124 | 0.5690 |
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