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Regression on Sulfur (RMSE)

0.34RMSEDTSemNet Top-k
0.33640.36070.3850.4093May 8, 2026

Evaluation results

MethodLinks
DTSemNet Top-kHeight=5, Number of features (Nf)=6, Number of training samples (Ns)=70562026.050.34
DTSemNet STEHeight=5, Number of features (Nf)=6, Number of training samples (Ns)=70562026.050.35
DGT-LinearHeight=5, Number of features (Nf)=6, Number of training samples (Ns)=70562026.050.35
CARTNumber of features (Nf)=6, Number of training samples (Ns)=70562026.050.43