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Feature Selection research benchmarks · SOTA2 Research

Feature Selection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

90ROC AUC

70

Feb 26, 2026

PIONeeR post-VIF

100Stability

26

Feb 26, 2026

Criteo, Avazu, AliCCP, ML-1M Aggregate

99.81SAUC

18

Apr 10, 2026

Aggregated AL, CH, CO, EY, GE, HE, HI, HO, JA, MI, OT, YE

2.17Rank

17

Feb 26, 2026

YE with random extraneous features

1Precision

17

Feb 26, 2026

OT with random extraneous features

100Precision

17

Feb 26, 2026

MI with random extraneous features

0.993Precision

17

Feb 26, 2026

JA with random extraneous features

98.1Precision

17

Feb 26, 2026

1Precision

17

Feb 26, 2026

0.861Precision

17

Feb 26, 2026

HE random extraneous features

1Precision

17

Feb 26, 2026

GE with random extraneous features

100Precision

17

Feb 26, 2026

CO with random extraneous features

100Precision

17

Feb 26, 2026

100Precision

17

Feb 26, 2026

AL random extraneous features

100Precision

17

Feb 26, 2026

YE with random extraneous features

1ROC AUC

17

Feb 26, 2026

OT with random extraneous features

100ROC-AUC

17

Feb 26, 2026

MI with random extraneous features

100ROC AUC

17

Feb 26, 2026

JA with random extraneous features

77ROC AUC

17

Feb 26, 2026

1ROC AUC

17

Feb 26, 2026

HI with random extraneous features

92.2ROC AUC

17

Feb 26, 2026

HE with random extraneous features

100ROC AUC

17

Feb 26, 2026

GE with random extraneous features

100ROC-AUC

17

Feb 26, 2026

EY with random extraneous features

99.3ROC AUC

17

Feb 26, 2026

CO with random extraneous features

1ROC AUC

17

Feb 26, 2026

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