Stationary Linear Regression on DS1 1.0 (test)
0.9764R2Batch Regression (Pseudo-Inverse)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Batch Regression (Pseudo-Inverse)method=Pseudo-Inverse2025.12 | 0.9764 | 0.0012 | |
| RLSlambda=0.99, delta=0.012025.12 | 0.9762 | 0.0107 | |
| LMSeta=0.012025.12 | 0.9762 | 0.0067 | |
| MBGDeta=0.01, K=M * 5, epochs=NK * 52025.12 | 0.9758 | 0.0043 | |
| OLReta=0.01, epochs=N * 2, lambda=0.12025.12 | 0.9757 | 0.0203 | |
| SGDeta=0.01, epochs=N * 22025.12 | 0.9756 | 0.0139 | |
| OLR-WAalpha=0.5, BK=N * 0.1, K=M * 52025.12 | 0.9742 | 0.0119 | |
| PAC=0.01, epsilon=0.012025.12 | 0.9738 | 0.0087 | |
| ORReta=0.01, epochs=N * 2, lambda=0.12025.12 | 0.9676 | 0.0196 |