Stationary Linear Regression on DS3 1.0 (test)
0.983R2 ScoreBatch Regression (Pseudo-Inverse)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Batch Regression (Pseudo-Inverse)method=Pseudo-Inverse2025.12 | 0.983 | 0.0815 | |
| MBGDeta=0.01, K=M * 5, epochs=NK * 1002025.12 | 0.9829 | 0.2445 | |
| OLR-WAalpha=0.5, BK=N * 0.1, K=M * 52025.12 | 0.982 | 0.3929 | |
| LMSeta=0.012025.12 | 0.9816 | 0.0724 | |
| SGDeta=0.01, epochs=N * 22025.12 | 0.9812 | 0.1501 | |
| OLReta=0.001, epochs=N * 2, lambda=0.12025.12 | 0.9793 | 0.2021 | |
| ORReta=0.001, epochs=N * 2, lambda=0.12025.12 | 0.969 | 0.1889 | |
| PAC=0.01, epsilon=0.012025.12 | 0.9671 | 0.0932 | |
| RLSlambda=0.99, delta=0.012025.12 | 0.96 | 5.1406 |