OpenML-CC18

Benchmarks

Task Name	Dataset Name	SOTA Result
Tabular Classification	OpenML-CC18 32C labeling budget	Accuracy0.81	7
Tabular Classification	OpenML-CC18 16C labeling budget	Accuracy78	7
Tabular Classification	OpenML-CC18 2C labeling budget	Accuracy64	7
Tabular Classification	OpenML-CC18 HPO subset v2 (test)	Banknote Performance100	7
Column-agnostic Classification	OpenML-CC18 no column names	ROC-AUC93.18	2
Classification with missing data	OpenML-CC18 0–70% missing data	Mean ROC-AUC0.9196	2

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