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Binary Classification research benchmarks – Page 17 · SOTA2 Research

Binary Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

darwin 25% label noise

71.4Mean F1-Score

7

Mar 9, 2026

bupa 25% label noise

64Mean F1-Score

7

Mar 9, 2026

blood 25% label noise

87.6Mean F1-score

7

Mar 9, 2026

biodeg 25% label noise

88.1Mean F1-score

7

Mar 9, 2026

australian 25% label noise

88.2Mean F1 Score

7

Mar 9, 2026

appendicitis 25% label noise

94.7Mean F1-Score

7

Mar 9, 2026

sonar UCI (test)

87Accuracy

7

Mar 9, 2026

saheart UCI (test)

74.9Accuracy

7

Mar 9, 2026

pop failures UCI (test)

93.5Accuracy

7

Mar 9, 2026

plrx UCI (test)

72.5Accuracy

7

Mar 9, 2026

pima UCI (test)

77.1Accuracy

7

Mar 9, 2026

diabetic UCI (test)

67.6Accuracy

7

Mar 9, 2026

Darwin UCI (test)

74.1Accuracy

7

Mar 9, 2026

bupa UCI (test)

71.3Accuracy

7

Mar 9, 2026

blood UCI (test)

78.5Accuracy

7

Mar 9, 2026

biodeg UCI (test)

88.4Accuracy

7

Mar 9, 2026

appendicitis UCI (test)

89.5Accuracy

7

Mar 9, 2026

sonar 25% feature noise (test)

78.9Accuracy

7

Mar 9, 2026

saheart 25% feature noise (test)

74.7Accuracy

7

Mar 9, 2026

raisin 25% feature noise (test)

87.4Accuracy

7

Mar 9, 2026

pop failures 25% feature noise (test)

95Accuracy

7

Mar 9, 2026

plrx 25% feature noise (test)

73.6Accuracy

7

Mar 9, 2026

pima 25% feature noise (test)

77.5Accuracy

7

Mar 9, 2026

haberman 25% feature noise (test)

76.8Accuracy

7

Mar 9, 2026

fertility 25% feature noise (test)

89Accuracy

7

Mar 9, 2026

Page 17 of 38

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MNIST CIFAR Adult blood iNAT

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