Regression on OpenML-616 (MAE, RMSE, R^2) benchmark leaderboard · SOTA2 Research

Regression on OpenML-616 (MAE, RMSE, R^2)

0.633MAERF

Evaluation Results

Method	Links
RF2025.01		0.633	0.534	0.791
DT2025.01		0.635	0.531	0.799
XGB2025.01		0.677	0.594	0.837
GBDT2025.01		0.679	0.582	0.826
LR2025.01		0.685	0.596	0.833
EASE2025.01		0.698	0.611	0.84