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fried dataset and benchmarks · SOTA2 Research

Research Datasets

fried

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

fried

0.043MSE

49

fried (test)

74.1Mean Test Accuracy

10

Fried 10, 41k

1.02RMSE

8

Point-level mislabeled data detection

fried

0.76AUCPR

7

fried

82.6Accuracy

2

Cell-level outlier detection

fried

91AUC

2

fried (test)

73.6Accuracy

1

Popular tasks

Regression Data Selection Classification Cell-level outlier detection Point-level mislabeled data detection

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