Disease risk prediction on Simulated data N = 5000 (test)
74.63AUCBHPI
Evaluation results
| Method | Links | |
|---|---|---|
| BHPI2026.06 | 74.63 | |
| OPTIMAL LOGISTIC2026.06 | 74.15 | |
| CLASSIFIER CHAIN2026.06 | 72.63 | |
| BINARY RELEVANCE2026.06 | 72.61 | |
| RAKELD2026.06 | 72.5 | |
| LGBM2026.06 | 69.68 |
| Method | Links | |
|---|---|---|
| BHPI2026.06 | 74.63 | |
| OPTIMAL LOGISTIC2026.06 | 74.15 | |
| CLASSIFIER CHAIN2026.06 | 72.63 | |
| BINARY RELEVANCE2026.06 | 72.61 | |
| RAKELD2026.06 | 72.5 | |
| LGBM2026.06 | 69.68 |