Data Stream Classification on transientChessboard
0.94KappaTLearn++
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Learn++2025.12 | 0.94 | 0.477 | 0 | — | |
| Learn++.NSE2025.12 | 0.91 | 0.287 | 0.0001 | — | |
| LB2025.12 | 0.69 | 8.374 | 0.08 | — | |
| Enhash2025.12 | 0.56 | 0.099 | 0.0004 | — | |
| OSMO-TEB2025.12 | 0.43 | 13.623 | 0.55 | — | |
| ARF2025.12 | 0.35 | 0.481 | 0.0012 | — | |
| OB2025.12 | 0.3 | 0.983 | 0.0003 | — | |
| DWM2025.12 | -0.17 | 0.169 | 0 | — | |
| AEE2025.12 | -1 | 0.57 | 0.0001 | — | |
| AWE2025.12 | -1.11 | 0.181 | 0.0002 | — | |
| AEEEvaluation Strategy=Interleaved Test-Train2025.12 | — | — | — | 0.02 | |
| ARFEvaluation Strategy=Interleaved Test-Train2025.12 | — | — | — | 0.68 | |
| AWEEvaluation Strategy=Interleaved Test-Train2025.12 | — | — | — | -0.03 | |
| DWMEvaluation Strategy=Interleaved Test-Train2025.12 | — | — | — | 0.43 | |
| EnhashEvaluation Strategy=Interleaved Test-Train2025.12 | — | — | — | 0.78 | |
| LBEvaluation Strategy=Interleaved Test-Train2025.12 | — | — | — | 0.85 | |
| Learn++Evaluation Strategy=Interleaved Test-Train2025.12 | — | — | — | 0.97 | |
| Learn++.NSEEvaluation Strategy=Interleaved Test-Train2025.12 | — | — | — | 0.96 | |
| OBEvaluation Strategy=Interleaved Test-Train2025.12 | — | — | — | 0.66 | |
| OSMO-TEBEvaluation Strategy=Interleaved Test-Train2025.12 | — | — | — | 0.72 |