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Papers Benchmarks Datasets Tasks

MUSK dataset and benchmarks · SOTA2 Research

Research Datasets

MUSK

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Multiple Instance Learning Classification

MUSK2

97Accuracy

46

Musk2 downstream

96.4Balanced Accuracy

45

Tabular Anomaly Detection

Musk

1AUC ROC

30

Anomaly Detection

musk

100AUPRC

27

Outlier Detection

Musk

1AUC

22

Outlier Detection

Musk

100AP

22

Anomaly Detection

Musk

100AUC-ROC

17

Outlier Detection

Musk

100AUC-ROC

11

Outlier Detection

Musk

1AUC-PR

11

Anomaly Detection

musk In-Domain

100F1 Score

10

Outlier Detection

musk

100Precision-s

9

Multi-instance Learning Classification

MUSK1 classical MIL (10-fold cross-validation)

96.2Accuracy

9

Outlier Detection

musk (full)

97.32Recall

7

Point-level mislabeled data detection

musk

85AUCPR

7

Anomaly Detection

Musk

8.2FDR

6

Hierarchical Clustering

Musk

57Dendrogram Purity

6

musk

97.7Accuracy

6

musk

1.388Latency (s)

6

musk

100Accuracy

5

musk-1 (80%-20% train-test)

95.8Accuracy

4

musk

180Rule Count

4

Musk V2

9,386Number of Queries

2

Cell-level outlier detection

musk

0.88AUC

2

musk

0.03Delta Accuracy

1

Popular tasks

Classification Outlier Detection Anomaly Detection Multi-instance Learning Classification Model Stealing

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