Table 5.
Dataset | Method | Alleviating | Aggravating | ||||
---|---|---|---|---|---|---|---|
Precision | Recall | F1 | Precision | Recall | F1 | ||
Chromosome | wNN | 0.66 | 0.14 | 0.23 | 0.71 | 0.40 | 0.51 |
LLS | 0.65 | 0.07 | 0.13 | 0.74 | 0.38 | 0.50 | |
RNA | wNN | 0.69 | 0.14 | 0.23 | 0.72 | 0.39 | 0.51 |
LLS | 0.75 | 0.11 | 0.19 | 0.72 | 0.35 | 0.47 | |
Pombe | wNN | 0.64 | 0.17 | 0.27 | 0.70 | 0.49 | 0.58 |
LLS | 0.74 | 0.09 | 0.16 | 0.69 | 0.50 | 0.58 | |
Signalling | wNN | 0.71 | 0.06 | 0.11 | 0.65 | 0.27 | 0.38 |
LLS | 0.50 | 0.01 | 0.02 | 0.65 | 0.32 | 0.43 | |
ESP | wNN | 0.78 | 0.14 | 0.24 | 0.64 | 0.42 | 0.51 |
LLS | 0.67 | 0.09 | 0.16 | 0.66 | 0.42 | 0.52 |
The highest value for each dataset is highlighted in bold. While the neutral class has been left out for the sake of clarity, note that in all cases recall was ≈ 0.99 and precision was > 0.96.