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Tabular Classification research benchmarks – Page 11 · SOTA2 Research

Tabular Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

68.8Accuracy

5

May 19, 2026

77.2Accuracy

5

May 19, 2026

0.87BVS

5

Mar 24, 2026

94.2Accuracy (Mean)

5

May 8, 2026

99.33Mean Accuracy

5

May 8, 2026

100Accuracy (Mean)

5

May 8, 2026

100Mean Accuracy

5

May 8, 2026

Bank Churn Kaggle (original train test)

Hierarchical MCTS

32.47Median Leaderboard Percentile

5

Feb 26, 2026

Bank Deposit Classification (Kaggle) (train test)

27.65Median Leaderboard Percentile

5

Feb 26, 2026

Spaceship Titanic Kaggle original (train test)

41.69Median Percentile

5

Feb 26, 2026

protein UCI (test)

95.18Balanced Accuracy

5

Feb 26, 2026

LARGESCALETABLES

81Mean Accuracy

5

Feb 26, 2026

0.501MLE

5

Feb 26, 2026

93.8MLE Score

5

Feb 26, 2026

HI (Higgs) (test)

0.727MLE

5

Feb 26, 2026

GE (German Credit) (test)

0.406MLE Loss

5

Feb 26, 2026

CH (Churn) (test)

0.702MLE

5

Feb 26, 2026

Car Evaluation (test)

0.717MLE

5

Feb 26, 2026

analcatdata-chlamydia (test)

9Error Rate

5

Feb 26, 2026

visualizing-environmental (test)

Summary Boosting

26.8Test Error Rate

5

Feb 26, 2026

breast-cancer (test)

26.4Test Error

5

Feb 26, 2026

0.158Test Error

5

Feb 26, 2026

TabArena (3 outer-fold averages)

92.66Churn Accuracy

4

Jul 3, 2026

90.7Utility

4

Jul 1, 2026

74.5Utility

4

Jul 1, 2026

Page 11 of 15

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