PENDIGITS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | pendigits | Accuracy99.8 | 50 | |
| Tabular Anomaly Detection | Pendigits | AUC-ROC99.9 | 39 | |
| Time Series Classification | PENDIGITS (test) | Accuracy97 | 36 | |
| Multivariate Time Series Classification | PenDigits | Accuracy98.71 | 33 | |
| Spectral Clustering | PenDigits | Time Cost (s)0.05 | 29 | |
| Clustering | PenDigits | NMI (%)85.34 | 26 | |
| 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 | Accuracy79.6 | 8 | |
| Clustering | pendigits original (train+test) | Accuracy88.5 | 8 | |
| Outlier Detection | pendigits (full) | Recall51.15 | 7 | |
| Off-Policy Evaluation | PenDigits (UCI) | MSE0.0008 | 6 | |
| Time Series Classification | PENDIGITS (test) | NLPP0.146 | 6 | |
| Multiclass Classification | pendigits | Accuracy99.5 | 2 | |
| Multivariate Time Series Classification | PenDigits | Relative Time1 | 2 | |
| Classification | Pendigits (test) | Metric- | 0 |
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