Table 8.
Machine learning results without post-processing on the development set
| Fold | Recall (%) | Precision (%) | F-score (%) |
|---|---|---|---|
| 1 | 46 (41) | 78 (69) | 58 (51) |
| 2 | 42 (35) | 89 (75) | 57 (48) |
| 3 | 45 (41) | 75 (70) | 56 (52) |
| 4 | 60 (55) | 71 (66) | 65 (60) |
| 5 | 76 (74) | 74 (72) | 75 (73) |
| Min | 42 (35) | 71 (66) | 56 (52) |
| Max | 76 (74) | 89 (75) | 75 (73) |
| Mean | 54 (49) | 78 (70) | 62 (57) |
| Micro Avg | 52 (47) | 77 (70) | 62 (56) |
P Precision, R Recall, F F-score on the development set using machine learning without post-processing (5-cross fold). Strict scores provided in brackets