PENDIGITS

Benchmarks

Task Name	Dataset Name	SOTA Result
Tabular Anomaly Detection	Pendigits	AUC-ROC99.9	72
Classification	pendigits	Accuracy99.8	53
Clustering	PenDigits	ARI79	49
Anomaly Detection	pendigits	AUPRC97.58	43
Time Series Classification	PENDIGITS (test)	Accuracy97	40
Multivariate Time Series Classification	PenDigits	Accuracy98.71	33
Spectral Clustering	PenDigits	Time Cost (s)0.05	29
Online Class-Incremental Learning	Pendigits	Final Mean Accuracy98.2	26
Binary Classification	Pendigits UCI (test)	Accuracy99.6	17
Outlier Detection	pendigits ADBench	AUROC96.11	17
Clustering	Pendigits	ARI91	15
Tabular Anomaly Detection	pendigits	F1 Score52.56	14
Outlier Detection	pendigits (Group I)	AUROC92.74	14
Clustering	Pendigits	Average Time0.02	14
Binary Classification	Pendigits (test)	AUC0.979	13
Clustering	pendigits	Runtime (s)0.01	12
Clustering	pendigits	V-Measure91	12
Clustering	pendigits full-dataset	ARI0.91	12
Clustering	pendigits	Fowlkes-Mallows Index (FMI)92	12
Clustering	pendigits	NMI91	12
Clustering	pendigits	Purity96	12
Multivariate Time Series Classification	PenDigits	Accuracy99.13	10
Anomaly Detection	pendigits In-Domain	F1 Score93.08	10
Outlier Detection	pendigits	Precision (s)36.03	9
Hierarchical Clustering	PenDigits	DP81.4	9

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