From: Semi-supervised incremental learning with few examples for discovering medical association rules
Iteration | Coincident rules | F-Measure | AUC-ROC | AU-PRC | Accuracy (%) |
---|---|---|---|---|---|
0 | – | 0.55 | 0.61 | 0.61 | 58 |
1 | 793 | 0.70 | 0.76 | 0.78 | 74 |
2 | 159 | 0.71 | 0.78 | 0.80 | 76 |
3 | 19 | 0.74 | 0.78 | 0.81 | 77 |
4 | 3 | 0.73 | 0.80 | 0.81 | 77 |
5 | 3 | 0.71 | 0.79 | 0.80 | 77 |
6 | 2 | 0.72 | 0.79 | 0.81 | 78 |
7 | 4 | 0.75 | 0.80 | 0.81 | 79 |