Table A.6.
Precision [P.], recall [R.], F1 score [F1] using UMLS ontology-guided feature extraction.
% of feature space | Total # of features | Naïve Bayes
|
SVM (linear kernel)
|
SVM (RBF kernel)
|
MaxEnt
|
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
P. | R. | F1 | P. | R. | F1 | P. | R. | F1 | P. | R. | F1 | ||
| |||||||||||||
100.00 | 32,180 | 0.872 | 0.689 | 0.766 | 0.762 | 0.795 | 0.774 | 0.747 | 0.760 | 0.747 | 0.733 | 0.806 | 0.764 |
Note: Performance of shaded region is not significantly different from the top overall model (i.e., F1 of 77.4%).