Knowledge Tracing on EdNet (AUC, ACC, RMSE)
0.7365AUCSparseKT
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SparseKTTSDR framework=integrated2026.05 | 0.7365 | 68 | 0.4672 | |
| SparseKTTSDR framework=excluded2026.05 | 0.7282 | 66.98 | 0.4744 | |
| DisKTTSDR framework=excluded2026.05 | 0.7273 | 66.14 | 0.4846 | |
| DisKTTSDR framework=integrated2026.05 | 0.7239 | 66.98 | 0.4786 | |
| simpleKTTSDR framework=integrated2026.05 | 0.6977 | 64.51 | 0.4864 | |
| AKTTSDR framework=integrated2026.05 | 0.6936 | 63.51 | 0.4822 | |
| FoLiBiKTTSDR framework=integrated2026.05 | 0.6934 | 64.02 | 0.4783 | |
| simpleKTTSDR framework=excluded2026.05 | 0.6924 | 63.24 | 0.4872 | |
| FoLiBiKTTSDR framework=excluded2026.05 | 0.6885 | 63.37 | 0.4813 | |
| AKTTSDR framework=excluded2026.05 | 0.6868 | 62.88 | 0.4848 | |
| DKTTSDR framework=integrated2026.05 | 0.6678 | 62.7 | 0.4769 | |
| DKTTSDR framework=excluded2026.05 | 0.6602 | 61.89 | 0.4792 |