PENDIGITS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Tabular Anomaly Detection | Pendigits | AUC-ROC99.9 | 56 | |
| Classification | pendigits | Accuracy99.8 | 53 | |
| Time Series Classification | PENDIGITS (test) | Accuracy97 | 40 | |
| Multivariate Time Series Classification | PenDigits | Accuracy98.71 | 33 | |
| Clustering | PenDigits | NMI (%)85.34 | 32 | |
| Spectral Clustering | PenDigits | Time Cost (s)0.05 | 29 | |
| Anomaly Detection | pendigits | AUPRC97.58 | 27 | |
| Binary Classification | Pendigits UCI (test) | Accuracy99.6 | 17 | |
| Outlier Detection | pendigits ADBench | AUROC96.11 | 17 | |
| Outlier Detection | pendigits (Group I) | AUROC92.74 | 14 | |
| Clustering | Pendigits | Average Time0.02 | 14 | |
| Binary Classification | Pendigits (test) | AUC0.979 | 13 | |
| Anomaly Detection | pendigits In-Domain | F1 Score93.08 | 10 | |
| Outlier Detection | pendigits | Precision (s)36.03 | 9 | |
| Hierarchical Clustering | PenDigits | DP81.4 | 9 | |
| Classification | Pendigits pi+=0.8 UCI (test) | Accuracy99.8 | 9 | |
| Classification | Pendigits pi+=0.5 UCI (test) | Accuracy99.7 | 9 | |
| Classification | Pendigits pi+=0.2 UCI (test) | Accuracy99.8 | 9 | |
| Large-scale Spectral Clustering | PenDigits (test) | NMI82.01 | 9 | |
| Clustering | PenDigits (test) | Accuracy82.3 | 9 | |
| Ensemble Clustering | PenDigits | Time Cost (s)1.01 | 9 | |
| Ensemble Clustering | PenDigits | NMI0.8534 | 9 | |
| Clustering | pendigits original (train+test) | Accuracy88.5 | 8 | |
| Outlier Detection | pendigits (full) | Recall51.15 | 7 | |
| Cluster number prediction | Pendigits | Normalized Clustering (NC)15 | 6 |
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