Regression on Microsoft (RMSE)
0.77RMSEDTSemNet Top-k
Evaluation results
| Method | Links | |
|---|---|---|
| DTSemNet Top-kHeight=5, Number of features (Nf)=136, Number of training samples (Ns)=5787292026.05 | 0.77 | |
| DTSemNet STEHeight=5, Number of features (Nf)=136, Number of training samples (Ns)=5787292026.05 | 0.77 | |
| DGT-LinearHeight=5, Number of features (Nf)=136, Number of training samples (Ns)=5787292026.05 | 0.77 | |
| CARTNumber of features (Nf)=136, Number of training samples (Ns)=5787292026.05 | 0.77 |