Stationary Linear Regression on DS4 1.0 (test)
0.9297R2Batch Regression (Pseudo-Inverse)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Batch Regression (Pseudo-Inverse)method=Pseudo-Inverse2025.12 | 0.9297 | 49.8919 | |
| MBGDeta=0.001, K=M * 5, epochs=NK * 102025.12 | 0.9296 | 156.8346 | |
| OLR-WAalpha=0.5, BK=N * 0.1, K=M * 52025.12 | 0.9246 | 8.0849 | |
| LMSeta=0.012025.12 | 0.9072 | 5.0248 | |
| SGDeta=0.01, epochs=N * 22025.12 | 0.9066 | 5.956 | |
| PAC=0.1, epsilon=0.12025.12 | 0.8726 | 3.8015 | |
| OLReta=0.001, epochs=N * 2, lambda=0.12025.12 | 0.8641 | 3.9323 | |
| ORReta=0.001, epochs=N * 2, lambda=0.12025.12 | 0.8554 | 1.9249 | |
| RLSlambda=0.99, delta=0.012025.12 | 0.6267 | 1,907.8876 |