Convex Regression on Power Modeling Data Section 5.3 (test)
0.007RMSESm MB
Evaluation Results
| Method | Links | |
|---|---|---|
| Sm MBn=5,0002012.06 | 0.007 | |
| Bag MBn=5,0002012.06 | 0.007 | |
| MBn=5,0002012.06 | 0.009 | |
| Sm MBn=2,0002012.06 | 0.009 | |
| MBn=2,0002012.06 | 0.01 | |
| Bag MBn=2,0002012.06 | 0.01 | |
| Sm MBn=1,0002012.06 | 0.012 | |
| MBn=1,0002012.06 | 0.014 | |
| Bag MBn=1,0002012.06 | 0.014 | |
| Sm MBn=5002012.06 | 0.015 | |
| Bag MBn=5002012.06 | 0.017 | |
| MBn=5002012.06 | 0.019 | |
| Sm CAPn=5,0002012.06 | 0.019 | |
| Sm 2.5 CAPn=5,0002012.06 | 0.019 | |
| Bag CAPn=5,0002012.06 | 0.02 | |
| RDn=5,0002012.06 | 0.02 | |
| Sm 2.5 MBn=2,0002012.06 | 0.022 | |
| CAPn=5,0002012.06 | 0.024 | |
| Sm 2.5 MBn=1,0002012.06 | 0.026 | |
| Sm 2.5 MBn=5,0002012.06 | 0.029 | |
| Sm CAPn=2,0002012.06 | 0.03 | |
| Sm 2.5 CAPn=2,0002012.06 | 0.03 | |
| Bag CAPn=2,0002012.06 | 0.03 | |
| RDn=2,0002012.06 | 0.03 | |
| Sm MBn=2002012.06 | 0.038 | |
| MBn=2002012.06 | 0.04 | |
| Bag MBn=2002012.06 | 0.042 | |
| CAPn=2,0002012.06 | 0.049 | |
| Sm 2.5 MBn=5002012.06 | 0.049 | |
| Sm 2.5 CAPn=1,0002012.06 | 0.051 | |
| RDn=1,0002012.06 | 0.051 | |
| Sm CAPn=1,0002012.06 | 0.052 | |
| Bag CAPn=1,0002012.06 | 0.053 | |
| CAPn=1,0002012.06 | 0.056 | |
| Sm 2.5 MBn=2002012.06 | 0.061 | |
| Sm CAPn=5002012.06 | 0.09 | |
| Sm 2.5 CAPn=5002012.06 | 0.091 | |
| RDn=5002012.06 | 0.092 | |
| Bag CAPn=5002012.06 | 0.093 | |
| CAPn=5002012.06 | 0.125 | |
| Sm CAPn=2002012.06 | 0.131 | |
| RDn=2002012.06 | 0.131 | |
| Bag CAPn=2002012.06 | 0.134 | |
| Sm 2.5 CAPn=2002012.06 | 0.135 | |
| CAPn=2002012.06 | 0.144 |