blood

Benchmarks

Task Name	Dataset Name	SOTA Result
Medical Image Classification	Blood	Top-1 Accuracy99.61	34
Classification	blood	Accuracy79.3	28
Contamination detection	blood	Acomp31	24
Binary Classification	blood	Accuracy79.9	21
Binary Classification	blood	F1-score87.8	21
Classification	blood	F1-score87.4	14
Classification	blood 25% label noise (test)	Accuracy79.3	14
Binary Classification	blood	AUC75.54	10
Binary Classification	Blood TabArena v0.1 (test)	ROC AUC74.2	10
Classification	blood	Balanced Accuracy68.421	8
Classification	blood 25% feature noise	Accuracy78.3	7
Classification	blood 0% noise (test)	Accuracy80.1	7
Classification	blood 0% noise	F1-score87.4	7
Classification	blood (test)	Accuracy78.6	7
Classification	blood 25% feature noise	F1-score87.3	7
Classification	blood 25% label noise	F1 Score87.6	7
Binary Classification	blood 25% label noise	Mean F1-score87.6	7
Binary classification	blood UCI (test)	Accuracy78.5	7
Classification	blood 25% feature noise (test)	F1-score87.1	7
Binary Classification	blood 25% feature noise (test)	Accuracy77.9	7
Binary Classification	blood 0% noise	Accuracy77.8	7
Binary Classification	blood 25% feature noise	F1-score87.3	7
Classification	blood	ROC-AUC0.704	6
Long-Tailed Image Classification	Blood	Basophil Accuracy100	3

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