Regression on DS3
0.983R-SquaredBatch Regression
Evaluation results
| Method | Links | |
|---|---|---|
| Batch RegressionAlgorithm=Pseudo-Inverse2025.12 | 0.983 | |
| MBGDLearning rate (eta)=0.01, Mini-batch size (K)=M * 5, Epochs (E)=NK * 1002025.12 | 0.9829 | |
| OLR-WABase weight (Wbase)=0.5, Weight increment (Winc)=0.5, BK=N * 0.1, Mini-batch size (K)=M * 52025.12 | 0.982 | |
| LMSLearning rate (eta)=0.012025.12 | 0.9816 | |
| SGDLearning rate (eta)=0.01, Epochs (E)=N * 22025.12 | 0.9812 | |
| OLRLearning rate (eta)=0.001, Epochs (E)=N * 2, Regularization parameter (lambda)=0.12025.12 | 0.9793 | |
| ORRLearning rate (eta)=0.001, Epochs (E)=N * 2, Regularization parameter (lambda)=0.12025.12 | 0.969 | |
| PAVariant=PA-III, Cost parameter (C)=0.1, Sensitivity parameter (epsilon)=0.12025.12 | 0.9671 | |
| RLSRegularization parameter (lambda)=0.99, Delta (delta)=0.012025.12 | 0.96 |