Stationary Linear Regression on DS2 1.0 (test)
0.9842R2Batch Regression (Pseudo-Inverse)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Batch Regression (Pseudo-Inverse)method=Pseudo-Inverse2025.12 | 0.9842 | 0.0143 | |
| MBGDeta=0.01, K=M * 5, epochs=NK * 102025.12 | 0.9838 | 0.0145 | |
| RLSlambda=0.99, delta=0.012025.12 | 0.9827 | 0.1235 | |
| OLR-WAalpha=0.5, BK=N * 0.1, K=M * 52025.12 | 0.9826 | 0.0357 | |
| LMSeta=0.012025.12 | 0.9824 | 0.068 | |
| SGDeta=0.01, epochs=N * 22025.12 | 0.9823 | 0.1415 | |
| OLReta=0.01, epochs=N * 2, lambda=0.12025.12 | 0.9796 | 0.204 | |
| PAC=0.01, epsilon=0.012025.12 | 0.9764 | 0.0596 | |
| ORReta=0.01, epochs=N * 2, lambda=0.12025.12 | 0.9699 | 0.1952 |