Bayesian Neural Networks on UCI Power (test)
3.944RMSEAda-GWG
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Ada-GWGMini-batch size=100, Particle size=100, Hidden units=50, Activation function=ReLU, Number of runs=10, p_0=22023.10 | 3.944 | 2.802 | |
| SVGDMini-batch size=100, Particle size=100, Hidden units=50, Activation function=ReLU, Number of runs=102023.10 | 3.972 | 2.809 | |
| L2-GFMini-batch size=100, Particle size=100, Hidden units=50, Activation function=ReLU, Number of runs=10, p=22023.10 | 4.014 | 2.824 | |
| SGLDMini-batch size=100, Particle size=100, Hidden units=50, Activation function=ReLU, Number of runs=102023.10 | 4.089 | 2.84 |