Regression on KCHSD
0.5786R-SquaredBatch Regression
Evaluation results
| Method | Links | |
|---|---|---|
| Batch RegressionAlgorithm=Pseudo-Inverse2025.12 | 0.5786 | |
| MBGDLearning rate (eta)=0.01, Mini-batch size (K)=M * 5, Epochs (E)=NK * 202025.12 | 0.5743 | |
| OLR-WABase weight (Wbase)=0.9, Weight increment (Winc)=0.1, BK=N * 0.1, Mini-batch size (K)=M * 52025.12 | 0.574 | |
| SGDLearning rate (eta)=0.0001, Epochs (E)=N * 22025.12 | 0.5728 | |
| OLRLearning rate (eta)=0.001, Epochs (E)=N * 5, Regularization parameter (lambda)=0.00012025.12 | 0.5704 | |
| ORRLearning rate (eta)=0.001, Epochs (E)=N * 5, Regularization parameter (lambda)=0.0012025.12 | 0.5643 | |
| LMSLearning rate (eta)=0.00012025.12 | 0.5634 | |
| PAVariant=PA-III, Cost parameter (C)=0.01, Sensitivity parameter (epsilon)=0.012025.12 | 0.5353 | |
| RLSRegularization parameter (lambda)=0.99, Delta (delta)=0.012025.12 | 0.4809 |