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Classification research benchmarks – Page 70 · SOTA2 Research

Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

D14 0.15 (test)

86.143Mean Accuracy

10

Mar 25, 2026

D13 0.15 (test)

85.885Mean Accuracy

10

Mar 25, 2026

vowel D12 0.15 (test)

95.615Mean Accuracy

10

Mar 25, 2026

D11 0.15 (test)

97.33Mean Accuracy

10

Mar 25, 2026

D10 0.15 (test)

98.257Mean Accuracy

10

Mar 25, 2026

77.193Mean Accuracy

10

Mar 25, 2026

97.618Mean Accuracy

10

Mar 25, 2026

99.78Mean Accuracy

10

Mar 25, 2026

magic D6 0.15 (test)

88.288Mean Accuracy

10

Mar 25, 2026

gesture D5 0.15 (test)

66.64Mean Accuracy

10

Mar 25, 2026

electricity D4 0.15 (test)

91.033Mean Accuracy

10

Mar 25, 2026

77.126Mean Accuracy

10

Mar 25, 2026

91.657Mean Accuracy

10

Mar 25, 2026

99.742Mean Accuracy

10

Mar 25, 2026

PhysioNet Challenge 2016

Bayesian ResNet

89.105Accuracy

10

Mar 24, 2026

Deep Lasso + MLP

80.4Accuracy

10

Mar 24, 2026

72.1Accuracy

10

Mar 24, 2026

HI 75% corrupted features (75% noise)

Deep Lasso + MLP

81.3Accuracy (75% Noise)

10

Mar 24, 2026

HE 75% corrupted features noise

Deep Lasso + MLP

38.6Accuracy

10

Mar 24, 2026

GE 75% corrupted features noise

57.9Accuracy

10

Mar 24, 2026

EY 75% corrupted features (noise)

67.5Accuracy

10

Mar 24, 2026

CO 75% corrupted features

96.9Accuracy

10

Mar 24, 2026

84.7Worst Group Accuracy

10

Mar 23, 2026

Bankruptcy original missingness

100Percentage Samples Imputed

10

Mar 19, 2026

0.781AUC

10

Mar 18, 2026

Page 70 of 202

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