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Papers Benchmarks Datasets Tasks

HI dataset and benchmarks · SOTA2 Research

Research Datasets

HI

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

HI

0.821Accuracy

59

HI 50% corrupted features

82.1Accuracy

21

Feature Selection

HI

0.861Precision

17

Feature Selection

HI with random extraneous features

92.2ROC AUC

17

Money Laundering Risk Ranking

HI Medium

0.77AUC

16

Money Laundering Risk Ranking

HI Small

78.79AUC

16

HI

81.9Accuracy

14

HI corrupted features

81.9Accuracy

14

HI 75% corrupted features (75% noise)

81.3Accuracy (75% Noise)

10

Federated Learning Training

HI-Large

86.68Average Runtime (s)

8

Federated Learning Training

HI Medium

21.12Average Runtime (s)

8

Federated Learning Training

HI-Small

18.79Average Runtime (s)

8

Spell Correction

HI Hindi

89.2Det Rate

6

HI Medium

35.1Precision

5

HI Small

30.3Precision

5

HI

0.887AUC

2

Synthetic Tabular Data Generation

HI

48.3DCR

2

Popular tasks

Classification Federated Learning Training Feature Selection Group recovery Money Laundering Risk Ranking

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