Stationary Linear Regression on CCPP 1.0 (test)
92.855R2 ScoreBatch Regression (Pseudo-Inverse)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Batch Regression (Pseudo-Inverse)method=Pseudo-Inverse2025.12 | 92.855 | 0.0081 | |
| OLReta=0.01, epochs=N * 5, lambda=0.012025.12 | 92.611 | 0.5802 | |
| ORReta=0.01, epochs=N * 5, lambda=0.0012025.12 | 92.55 | 0.3927 | |
| OLR-WAalpha=0.5, BK=N * 0.1, K=M * 52025.12 | 92.202 | 0.0515 | |
| MBGDeta=0.01, K=M * 5, epochs=NK * 402025.12 | 91.989 | 0.2918 | |
| SGDeta=0.01, epochs=N * 52025.12 | 91.838 | 0.2291 | |
| LMSeta=0.012025.12 | 89.785 | 0.0468 | |
| PAC=0.1, epsilon=0.12025.12 | 66.327 | 0.0473 | |
| RLSlambda=0.99, delta=0.012025.12 | 66.197 | 0.0774 |