Table 4 Results of EXTRAE Algorithm on HUF corpus using different seed sizes, based on their F-Measure, AUC-ROC, and AU-PRC
From: Semi-supervised incremental learning with few examples for discovering medical association rules
HUF corpus | |||||
|---|---|---|---|---|---|
Seed size | Iterations | p Value | F-Measure | AUC-ROC | AU-PRC |
5 | 3 | 4.79E-13 | 0.73 | 0.80 | 0.81 |
10 | 7 | 4.79E-13 | 0.75 | 0.80 | 0.81 |
15 | 8 | 3.67E-13 | 0.72 | 0.79 | 0.80 |
20 | 14 | 3.67E-13 | 0.73 | 0.80 | 0.81 |
25 | 8 | 5.34E-10 | 0.74 | 0.79 | 0.80 |
35 | 6 | 3.3E-6 | 0.73 | 0.78 | 0.80 |
50 | 13 | 3.3E-6 | 0.74 | 0.78 | 0.80 |
75 | 4 | 3.35E-9 | 0.72 | 0.79 | 0.81 |
100 | 5 | 3.35E-9 | 0.69 | 0.79 | 0.81 |
125 | 5 | 3.35E-9 | 0.74 | 0.79 | 0.80 |
150 | 5 | 3.67E-13 | 0.72 | 0.79 | 0.80 |
175 | 4 | 3.67E-13 | 0.72 | 0.79 | 0.80 |
200 | 6 | 3.67E-13 | 0.74 | 0.80 | 0.81 |