Regression on synthetic datasets #2 (test)
0MSEPNC predictor
Evaluation results
| Method | Links | |
|---|---|---|
| PNC predictorn (data size)=1024, d (data dimensions)=22023.06 | 0 | |
| Deep ensemble (5 networks)n (data size)=1024, d (data dimensions)=22023.06 | 0 | |
| PNC predictorn (data size)=1024, d (data dimensions)=42023.06 | 0 | |
| PNC predictorn (data size)=512, d (data dimensions)=22023.06 | 0 | |
| PNC predictorn (data size)=1024, d (data dimensions)=82023.06 | 0 | |
| PNC predictorn (data size)=256, d (data dimensions)=22023.06 | 0 | |
| PNC predictorn (data size)=512, d (data dimensions)=42023.06 | 0 | |
| PNC predictorn (data size)=128, d (data dimensions)=22023.06 | 0 | |
| PNC predictorn (data size)=512, d (data dimensions)=82023.06 | 0 | |
| PNC predictorn (data size)=256, d (data dimensions)=42023.06 | 0 | |
| Deep ensemble (5 networks)n (data size)=512, d (data dimensions)=22023.06 | 0 | |
| Deep ensemble (2 networks)n (data size)=1024, d (data dimensions)=22023.06 | 0 | |
| PNC predictorn (data size)=128, d (data dimensions)=42023.06 | 0 | |
| PNC predictorn (data size)=256, d (data dimensions)=82023.06 | 0 | |
| Deep ensemble (5 networks)n (data size)=256, d (data dimensions)=22023.06 | 0 | |
| Deep ensemble (2 networks)n (data size)=512, d (data dimensions)=22023.06 | 0 | |
| PNC predictorn (data size)=1024, d (data dimensions)=162023.06 | 0 | |
| Deep ensemble (5 networks)n (data size)=128, d (data dimensions)=22023.06 | 0 | |
| PNC predictorn (data size)=512, d (data dimensions)=162023.06 | 0 | |
| One base networkn (data size)=1024, d (data dimensions)=22023.06 | 0 | |
| Deep ensemble (2 networks)n (data size)=256, d (data dimensions)=22023.06 | 0 | |
| Deep ensemble (5 networks)n (data size)=1024, d (data dimensions)=42023.06 | 0 | |
| Deep ensemble (5 networks)n (data size)=512, d (data dimensions)=42023.06 | 0 | |
| One base networkn (data size)=512, d (data dimensions)=22023.06 | 0 | |
| Deep ensemble (5 networks)n (data size)=256, d (data dimensions)=42023.06 | 0 | |
| Deep ensemble (5 networks)n (data size)=128, d (data dimensions)=42023.06 | 0 | |
| PNC predictorn (data size)=128, d (data dimensions)=82023.06 | 0.0001 | |
| Deep ensemble (2 networks)n (data size)=128, d (data dimensions)=22023.06 | 0.0001 | |
| PNC predictorn (data size)=256, d (data dimensions)=162023.06 | 0.0001 | |
| One base networkn (data size)=256, d (data dimensions)=22023.06 | 0.0001 | |
| Deep ensemble (2 networks)n (data size)=512, d (data dimensions)=42023.06 | 0.0001 | |
| Deep ensemble (5 networks)n (data size)=1024, d (data dimensions)=82023.06 | 0.0001 | |
| Deep ensemble (5 networks)n (data size)=512, d (data dimensions)=82023.06 | 0.0001 | |
| Deep ensemble (2 networks)n (data size)=1024, d (data dimensions)=42023.06 | 0.0001 | |
| Deep ensemble (5 networks)n (data size)=256, d (data dimensions)=82023.06 | 0.0001 | |
| One base networkn (data size)=1024, d (data dimensions)=42023.06 | 0.0001 | |
| One base networkn (data size)=128, d (data dimensions)=22023.06 | 0.0001 | |
| Deep ensemble (2 networks)n (data size)=128, d (data dimensions)=42023.06 | 0.0001 | |
| Deep ensemble (2 networks)n (data size)=256, d (data dimensions)=42023.06 | 0.0001 | |
| PNC predictorn (data size)=128, d (data dimensions)=162023.06 | 0.0001 | |
| One base networkn (data size)=256, d (data dimensions)=42023.06 | 0.0002 | |
| Deep ensemble (2 networks)n (data size)=1024, d (data dimensions)=82023.06 | 0.0002 | |
| One base networkn (data size)=512, d (data dimensions)=42023.06 | 0.0002 | |
| One base networkn (data size)=128, d (data dimensions)=42023.06 | 0.0002 | |
| Deep ensemble (2 networks)n (data size)=512, d (data dimensions)=82023.06 | 0.0002 | |
| Deep ensemble (2 networks)n (data size)=256, d (data dimensions)=82023.06 | 0.0002 | |
| Deep ensemble (5 networks)n (data size)=128, d (data dimensions)=82023.06 | 0.0002 | |
| Deep ensemble (5 networks)n (data size)=1024, d (data dimensions)=162023.06 | 0.0003 | |
| Deep ensemble (5 networks)n (data size)=512, d (data dimensions)=162023.06 | 0.0003 | |
| One base networkn (data size)=1024, d (data dimensions)=82023.06 | 0.0003 | |
| One base networkn (data size)=512, d (data dimensions)=82023.06 | 0.0004 | |
| Deep ensemble (5 networks)n (data size)=256, d (data dimensions)=162023.06 | 0.0004 | |
| One base networkn (data size)=256, d (data dimensions)=82023.06 | 0.0005 | |
| Deep ensemble (2 networks)n (data size)=128, d (data dimensions)=82023.06 | 0.0005 | |
| Deep ensemble (5 networks)n (data size)=128, d (data dimensions)=162023.06 | 0.0006 | |
| Deep ensemble (2 networks)n (data size)=1024, d (data dimensions)=162023.06 | 0.0006 | |
| Deep ensemble (2 networks)n (data size)=512, d (data dimensions)=162023.06 | 0.0007 | |
| One base networkn (data size)=128, d (data dimensions)=82023.06 | 0.0008 | |
| Deep ensemble (2 networks)n (data size)=256, d (data dimensions)=162023.06 | 0.0009 | |
| One base networkn (data size)=1024, d (data dimensions)=162023.06 | 0.0012 | |
| Deep ensemble (2 networks)n (data size)=128, d (data dimensions)=162023.06 | 0.0014 | |
| One base networkn (data size)=512, d (data dimensions)=162023.06 | 0.0014 | |
| One base networkn (data size)=256, d (data dimensions)=162023.06 | 0.0019 | |
| One base networkn (data size)=128, d (data dimensions)=162023.06 | 0.0023 |