Regression on CCPP (MSE Improvement vs RF(10))
12.88MSE Improvement (%) vs RF(10)EST-PD(Hypsec)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| EST-PD(Hypsec)Number of features (P)=42025.05 | 12.88 | 0.16 | |
| EST-PD(Norm)Number of features (P)=42025.05 | 12.39 | 0.15 | |
| RF(100)Number of features (P)=42025.05 | 7.62 | 0.19 | |
| RF(50)Number of features (P)=42025.05 | 6.89 | 0.18 | |
| RF(20)Number of features (P)=42025.05 | 4.4 | 0.16 | |
| GPNumber of features (P)=42025.05 | -76.48 | 4.1 |