Spiral
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Integral estimation | Spiral | relL2 Error0.016 | 48 | |
| Irregular Time-series Modeling | Spiral | MAE0.0046 | 30 | |
| Clustering | Spiral n=300, m=2, k=2 | SSE2,660 | 12 | |
| Continuous-Time Dynamics Estimation | Spiral inferred initial state | LDTW8.24 | 10 | |
| Pseudotime estimation | Spiral | Spearman Correlation1 | 10 | |
| Continuous-time dynamics estimation | Spiral synthetic | LDTW9.63 | 10 | |
| Conformal Prediction | Spiral synthetic (test) | Coverage93 | 10 | |
| Conformal Prediction | Spiral_H synthetic (test) | Coverage90 | 8 | |
| Conformal Prediction | Spiral_L synthetic (test) | Coverage90.2 | 8 | |
| Clustering | 3-spiral | ARI100 | 7 | |
| Continuous density estimation | Spiral | MSE0.256 | 7 | |
| Clustering | spiral | ARI1 | 7 | |
| Uncertainty Quantification | Spiral | MSE0.0002 | 6 | |
| Continuous-time dynamics estimation | Spiral 16 snapshots | LDTW10.36 | 6 | |
| Continuous-time dynamics estimation | Spiral 8 snapshots | LDTW12 | 6 | |
| Continuous-time dynamics estimation | Spiral 4 snapshots | LDTW9.79 | 6 | |
| Continuous-Time Dynamics Estimation | Spiral even odd seven snapshots (train test) | LWass0.38 | 6 | |
| Clustering | Spiral synthetic (test) | ARI1 | 6 | |
| Clustering | Spiral | Runtime (s)0 | 6 | |
| Tabular Classification | Spiral Hard | Accuracy (Mean)100 | 5 | |
| Clustering | Spiral k=2 (test) | ARI0.0054 | 4 | |
| Classification | Spiral 3.5 (test) | ECE0.067 | 3 | |
| Classification | Spiral 2.5 (test) | ECE0.025 | 3 | |
| Synthetic Classification | Spiral | Accuracy99.99 | 3 | |
| Tabular Classification | Spiral | Mean Accuracy99.8 | 2 |
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