Stationary Linear Regression on MCPD 1.0 (test)
0.7432R2 ScoreBatch Regression (Pseudo-Inverse)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Batch Regression (Pseudo-Inverse)method=Pseudo-Inverse2025.12 | 0.7432 | 0.0033 | |
| OLReta=0.001, epochs=N * 2, lambda=0.012025.12 | 0.7422 | 0.0283 | |
| OLR-WAalpha=0.5, BK=N * 0.1, K=M * 52025.12 | 0.7408 | 0.0036 | |
| ORReta=0.001, epochs=N * 2, lambda=0.0012025.12 | 0.7407 | 0.0297 | |
| RLSlambda=0.99, delta=0.012025.12 | 0.7383 | 0.0219 | |
| LMSeta=0.012025.12 | 0.7364 | 0.0136 | |
| SGDeta=0.01, epochs=N * 22025.12 | 0.7309 | 0.0274 | |
| MBGDeta=0.01, K=M * 5, epochs=NK * 102025.12 | 0.7301 | 0.0091 | |
| PAC=0.1, epsilon=0.12025.12 | 0.7289 | 0.0065 |