Tabular Classification2019en

OpenML-CC18

Curated classification benchmark suite of 72 tabular datasets

Current State of the Art

AutoGluon-Tabular

Amazon

88.5

accuracy

Top Models Performance Comparison

Top 5 models ranked by accuracy

accuracy1AutoGluon-Tabular88.5100.0%2TabPFN87.098.3%3LightGBM86.998.2%4XGBoost86.397.5%5Random Forest85.796.8%0%25%50%75%100%% of best
Best Score
88.5
Top Model
AutoGluon-Tabular
Models Compared
5
Score Range
2.8

accuracyPrimary

#ModelScorePaper / CodeDate
1
AutoGluon-TabularOpen Source
Amazon
88.5Jun 2025
2
TabPFNOpen Source
PriorLabs (University of Freiburg)
87Jun 2025
3
LightGBMOpen Source
Microsoft
86.9Jun 2025
4
XGBoostOpen Source
DMLC
86.3Jun 2025
5
Random ForestOpen Source
scikit-learn
85.7Jun 2025

Related Papers1

ConTextTab: A Semantics-Aware Tabular In-Context Learner
Jun 2025Models: AutoGluon-Tabular, TabPFN, LightGBM +2 more