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Yeast

Benchmarks

Task NameDataset NameSOTA ResultTrend
Outlier DetectionYeast
AUC-PR0.5504
49
Partial Multi-Label Learningyeast
Average Precision76.8
39
Partial Multi-Label Learningyeast
Ranking Loss0.156
37
Time Series ImputationYeast
MAE5.95
36
Tabular Anomaly DetectionYeast
AUC-ROC0.6
30
Outlier DetectionYeast
AUC-ROC0.7674
28
Imbalanced Classificationyeast_ml8
F1-Score67.6
25
Imbalanced Classificationyeast me2
F1 Score69
25
Time Series ImputationYeast
CRPS0.012
24
Time-series ImputationYeast
RMSE34.58
24
Link PredictionYeast without node attributes (50% observed links)
AP96.15
24
Multi-class classificationYeast
F1-score91.53
20
Downstream performance predictionYE (Yeast) corrupted with Laplace noise
Downstream Performance-0.776
19
Partial Multi-Label Learningyeast
One-Error19.8
18
Partial Multi-Label Learningyeast
Hamming Loss21.3
18
Link PredictionYeast Non-attributed
AUC0.9816
18
Off-policy evaluation for classification erroryeast
Bias-0.043
15
Multi-label classificationYeast (test)
Micro-F180.4
15
Link PredictionYeast
AUC99.24
15
Tabular Classification with Feature SelectionYeast
Accuracy0.3902
14
Tabular ClassificationYeast (test)
Accuracy57.32
14
ClassificationYeast 1%
PR AUC38
12
ClassificationYeast
PR AUC84.6
12
Imbalanced ClassificationYeast (test)
Macro F153.06
12
ClassificationYeast
Recall54.76
12
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