OpenML

Benchmarks

Task Name	Dataset Name	SOTA Result
Regression	OpenML 618 (5-fold cross-validation)	1-RAE0.0521	16
Regression	OpenML 586 (5-fold cross-validation)	1-RAE0.1109	16
Imputation	OpenML MCAR, Missing Probability 0.4 (test)	MAD0	13
Regression	OpenML 361249	Coverage96.4	12
Regression	OpenML 361247	Coverage98	12
Regression	OpenML 361243	Coverage97.9	12
Regression	OpenML 361235	Coverage97.2	12
Regression	OpenML 620	1-RAE0.425	9
Regression	OpenML 618	1-RAE0.372	9
Regression	OpenML 616	1-RAE0.385	9
Regression	OpenML 607	1-RAE0.376	9
Regression	OpenML 589	1-RAE0.331	9
Regression	Openml_586	1-RAE0.472	9
CASH	OpenML 15 datasets aggregate	Average Rank1.73	9
Multi-Class Classification	OpenML ID 694	Mean ROC-AUC OvO100	7
Multi-Class Classification	OpenML ID 679	Mean ROC-AUC OvO0.7479	7
Multi-Class Classification	OpenML ID 61	Mean ROC-AUC OvO1	7
Multi-Class Classification	OpenML ID 48	Mean ROC-AUC (OvO)63.5941	7
Multi-Class Classification	OpenML ID 42544	Mean ROC-AUC OvO0.9807	7
Multi-Class Classification	OpenML ID 42261	Mean ROC-AUC OvO100	7
Multi-Class Classification	OpenML ID 41919	Mean ROC-AUC (OvO)0.7273	7
Multi-Class Classification	OpenML ID 41	Mean ROC-AUC OvO95.3011	7
Multi-Class Classification	OpenML ID 40682	Mean ROC-AUC OvO99.963	7
Multi-Class Classification	OpenML ID 329	Mean ROC-AUC OvO99.5476	7
Multi-Class Classification	OpenML ID 187	Mean ROC-AUC OvO100	7

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