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Binary Classification research benchmarks – Page 18 · SOTA2 Research

Binary Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

diabetic 25% feature noise (test)

65.9Accuracy

7

Mar 9, 2026

darwin 25% feature noise (test)

85.6Accuracy

7

Mar 9, 2026

bupa 25% feature noise (test)

68.4Accuracy

7

Mar 9, 2026

blood 25% feature noise (test)

77.9Accuracy

7

Mar 9, 2026

biodeg 25% feature noise (test)

86.3Accuracy

7

Mar 9, 2026

australian 25% feature noise (test)

88Accuracy

7

Mar 9, 2026

appendicitis 25% feature noise (test)

90.5Accuracy

7

Mar 9, 2026

79.4Accuracy

7

Mar 9, 2026

saheart 0% noise

75.1Accuracy

7

Mar 9, 2026

raisin 0% noise

88Accuracy

7

Mar 9, 2026

pop failures 0% noise

96.5Accuracy

7

Mar 9, 2026

72.6Accuracy

7

Mar 9, 2026

78Accuracy

7

Mar 9, 2026

haberman 0% noise

75.5Accuracy

7

Mar 9, 2026

fertility 0% noise

89Accuracy

7

Mar 9, 2026

diabetic 0% noise

73.9Accuracy

7

Mar 9, 2026

darwin 0% noise

85Accuracy

7

Mar 9, 2026

71.6Accuracy

7

Mar 9, 2026

77.8Accuracy

7

Mar 9, 2026

biodeg 0% noise

87.7Accuracy

7

Mar 9, 2026

australian 0% noise

88.1Accuracy

7

Mar 9, 2026

appendicitis 0% noise

90.5Accuracy

7

Mar 9, 2026

saheart 25% feature noise

82.3F1 Score

7

Mar 9, 2026

raisin 25% feature noise

87.1F1-score

7

Mar 9, 2026

pop failures 25% feature noise

46.3F1 Score

7

Mar 9, 2026

Page 18 of 38

Popular datasets

MNIST CIFAR Adult blood iNAT

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