kNN Classification on Shuttle
99.7AccuracyopenTSNE
Evaluation results
| Method | Links | |
|---|---|---|
| openTSNEk=5, cross-validation=5-fold2026.05 | 99.7 | |
| BH-t-SNEk=5, cross-validation=5-fold2026.05 | 99.7 | |
| UMAPk=5, cross-validation=5-fold2026.05 | 99.6 | |
| FastUMAPk=5, cross-validation=5-fold2026.05 | 99.5 | |
| t-SNEk=1002018.02 | 99.4 | |
| SUDEk=5, cross-validation=5-fold2026.05 | 99.4 | |
| UMAPk=1002018.02 | 99.3 | |
| LargeVisk=1002018.02 | 99.2 | |
| t-SNEk=2002018.02 | 99.2 | |
| UMAPk=2002018.02 | 99 | |
| t-SNEk=4002018.02 | 99 | |
| UMAPk=4002018.02 | 98.8 | |
| UMAPk=8002018.02 | 98.8 | |
| LargeVisk=2002018.02 | 98.7 | |
| UMAPk=16002018.02 | 98.1 | |
| LargeVisk=4002018.02 | 97.6 | |
| t-SNEk=8002018.02 | 96.9 | |
| Laplacian Eigenmapsk=1002018.02 | 96.2 | |
| Laplacian Eigenmapsk=2002018.02 | 95.7 | |
| LargeVisk=8002018.02 | 95.7 | |
| UMAPk=32002018.02 | 95.7 | |
| Laplacian Eigenmapsk=4002018.02 | 94.9 | |
| Laplacian Eigenmapsk=8002018.02 | 94.2 | |
| t-SNEk=16002018.02 | 92.7 | |
| Laplacian Eigenmapsk=16002018.02 | 91.8 | |
| LargeVisk=16002018.02 | 90.4 | |
| Laplacian Eigenmapsk=32002018.02 | 89.5 | |
| LargeVisk=32002018.02 | 85 | |
| PCAk=1002018.02 | 83.3 | |
| t-SNEk=32002018.02 | 82.8 | |
| PCAk=2002018.02 | 82.1 | |
| PCAk=4002018.02 | 81.5 | |
| PCAk=8002018.02 | 80.4 | |
| PCAk=16002018.02 | 79.2 | |
| PCAk=32002018.02 | 78.6 |