Table 11 Comparison between SSVM model with different feature sets
From: Disorder recognition in clinical texts using multi-label structured SVM
Features | Precision | Recall | F 1-Score |
|---|---|---|---|
Our features | 0.6560 | 0.5875 | 0.6199 |
Tang’s features | 0.842 | 0.722 | 0.777 |