segment
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Class Prior Estimation | Segment | Estimation Error0.007 | 36 | |
| Classification | segment UCI (test) | Accuracy96.4 | 12 | |
| Classification | segment | Balanced Accuracy98.54 | 11 | |
| Marginal Inference | Segment | HD_avg0 | 10 | |
| Clustering | Segment (UCI) | ARI48.88 | 8 | |
| Classification | segment 40984 | AUROC99.5 | 8 | |
| Classification | segment | Accuracy97.98 | 7 | |
| Clustering | segment (test) | Clustering Error (%)2.5392 | 7 | |
| Clustering | segment (train) | Clustering Error (%)1.375 | 7 | |
| Clustering | Segment | ARI0.5062 | 7 | |
| Classification | Segment (test) | Test Accuracy96.32 | 7 | |
| Stage 1 Extraction | 87-segment (test) | F1-hd73.7 | 6 | |
| Feature Selection | segment | Number of Features11 | 6 | |
| OOD Detection | segment (OOD detection) | PR-AUC99.67 | 5 | |
| Classification | segment 20% held-out (test) | Accuracy97.27 | 5 | |
| Multi-Class Classification | Segment (test) | Macro F1 Score96.3 | 4 | |
| Binary Imbalanced Classification | segment 0 | F1-score99.49 | 4 | |
| Multiclass Classification | Segment UCI | Accuracy0.793 | 4 | |
| Spectral Clustering | Segment libSVM | NMI0.7007 | 3 | |
| Image Segment Classification | segment | Misclassification Count735 | 3 | |
| Local Curvature Estimation | segment | Average Local Curvature0.7972 | 2 | |
| Multiclass Classification | segment | Accuracy93.5 | 2 | |
| Random Forest Compilation | segment | %A94.51 | 2 |
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