Stationary Linear Regression on 1KC 1.0 (test)
0.9362R2Batch Regression (Pseudo-Inverse)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Batch Regression (Pseudo-Inverse)method=Pseudo-Inverse2025.12 | 0.9362 | 0.0011 | |
| SGDeta=0.01, epochs=N * 32025.12 | 0.9293 | 0.0147 | |
| MBGDeta=0.01, K=M * 5, epochs=NK * 402025.12 | 0.912 | 0.017 | |
| OLR-WAalpha=0.5, BK=N * 0.1, K=M * 52025.12 | 0.9077 | 0.0061 | |
| OLReta=0.01, epochs=N * 3, lambda=0.0012025.12 | 0.9032 | 0.0258 | |
| ORReta=0.01, epochs=N * 3, lambda=0.0012025.12 | 0.9029 | 0.0249 | |
| RLSlambda=0.99, delta=0.012025.12 | 0.855 | 0.0081 | |
| PAC=0.1, epsilon=0.12025.12 | 0.7857 | 0.0048 | |
| LMSeta=0.0012025.12 | 0.6077 | 0.0047 |