Bayesian Neural Network Regression on Combined (test)
3.925RMSEPBRWP
Evaluation results
| Method | Links | |
|---|---|---|
| PBRWP2025.09 | 3.925 | |
| ARWPruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=10, optimization=Nesterov2026.01 | 3.939 | |
| Adamruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 3.971 | |
| Adam2025.09 | 3.971 | |
| BRWPruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 3.975 | |
| BRWP2025.09 | 3.975 | |
| AIGruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 4.067 | |
| AIG2025.09 | 4.067 | |
| SVGDruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 4.07 | |
| SVGD2025.09 | 4.07 | |
| WGFruns=20, architecture=Two-hidden-layer ReLU neural network, hidden_neurons=50, particles=102026.01 | 4.077 | |
| WGF2025.09 | 4.077 |