Regression on Medical (RMSE)
0.84RMSEDTSemNet Top-k
Evaluation results
| Method | Links | |
|---|---|---|
| DTSemNet Top-kHeight=5, Number of features (Nf)=5, Number of training samples (Ns)=1141452026.05 | 0.84 | |
| DTSemNet STEHeight=5, Number of features (Nf)=5, Number of training samples (Ns)=1141452026.05 | 0.85 | |
| DGT-LinearHeight=5, Number of features (Nf)=5, Number of training samples (Ns)=1141452026.05 | 0.85 | |
| CARTNumber of features (Nf)=5, Number of training samples (Ns)=1141452026.05 | 1.46 |