Table 1 Evaluation results for the top five suggested codes.
From: Multi-label text classification via secondary use of large clinical real-world data sets
Model | Precision | Recall | F1-measure | MAP |
|---|---|---|---|---|
medBERT.de | 0.253 | 0.934 | 0.383 | 0.880 |
surgeryBERT.at | 0.250 | 0.925 | 0.378 | 0.867 |
fastText | 0.249 | 0.930 | 0.378 | 0.870 |
CNN | 0.246 | 0.912 | 0.372 | 0.851 |
SVM | 0.246 | 0.904 | 0.371 | 0.870 |
LR | 0.227 | 0.843 | 0.344 | 0.805 |
