blood
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
blood
0.781ROC-AUC
47
Blood
99.61Top-1 Accuracy
34
blood
79.3Accuracy
28
blood
31Acomp
24
blood
79.9Accuracy
21
blood
87.8F1-score
21
blood (test)
0.127RMSE
16
blood
87.4F1-score
14
blood 25% label noise (test)
79.3Accuracy
14
Blood
84Macro F1 Score
10
blood
75.54AUC
10
Blood TabArena v0.1 (test)
74.2ROC AUC
10
blood
68.421Balanced Accuracy
8
blood 25% feature noise
78.3Accuracy
7
blood 0% noise (test)
80.1Accuracy
7
blood 0% noise
87.4F1-score
7
blood (test)
78.6Accuracy
7
blood 25% feature noise
87.3F1-score
7
blood 25% label noise
87.6F1 Score
7
blood 25% label noise
87.6Mean F1-score
7
blood UCI (test)
78.5Accuracy
7
blood 25% feature noise (test)
87.1F1-score
7
blood 25% feature noise (test)
77.9Accuracy
7
blood 0% noise
77.8Accuracy
7
blood 25% feature noise
87.3F1-score
7