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Papers Benchmarks Datasets Tasks

ENRON dataset and benchmarks – Page 3 · SOTA2 Research

Research Datasets

ENRON

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Multi-label classification

ENRON

0.49Average Precision

8

Multi-label classification

ENRON

0.138Ranking Loss

8

Multi-label classification

ENRON

66.71Macro-F1

8

Multi-label Feature Selection

ENRON

60.11Coverage

8

Multi-label classification

ENRON

0.669Micro-F1

8

Multi-label Feature Selection

Enron

1.06Running Time (sec)

7

Dynamic Link Prediction

Enron (inductive)

94.56AP

6

Question Answering

Enron

44.35ROUGE Score

6

Multi-label classification

ENRON processed image data

15.4F1 Score

6

Binary Classification

Enron

99.05ACC

6

Link Prediction

Enron (last three snapshots)

93.54AUC

6

Formula Prediction

Enron (test)

55.8Formula Score

6

Non-membership detection

Enron

0P-Value

5

Multi-label classification

Enron

0.94Subset Accuracy

5

Multi-label classification

Enron

0.174Hamming Loss

5

Multi-label classification

Enron

36.59F-Measure

5

Multi-label Classification

Enron

25.03Accuracy

5

Text Classification

Enron (test)

93.1Accuracy

5

Email Reporting

Enron

100Gov Score

4

Binary Classification

Enron Non-IID

98.32Accuracy

4

Binary Classification

Enron IID

0.984Accuracy

4

Enron

17.71ROUGE

4

Temporal Link Prediction

Enron (inductive)

91.88AP

3

Link Prediction

Enron Transductive (test)

98.77AP

3

Link Prediction

Enron (inductive)

92.59AUC-ROC

3

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Popular tasks

Multi-Label Classification Motif Detection Multi-label Feature Selection Link Prediction Temporal Link Prediction

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