Regression on YearPredictionMSD (test)
10.23RMSEVIP
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| VIPArchitecture=two-hidden-layer Bayesian neural network, Seeds=52026.06 | 10.23 | 3.655 | 5.326 | 0.029 | |
| FTIPArchitecture=two-hidden-layer Bayesian neural network, Seeds=52026.06 | 10.31 | 3.407 | 5.209 | 0.01 | |
| MFVIArchitecture=two-hidden-layer Bayesian neural network, Seeds=52026.06 | 10.8 | 3.798 | 5.778 | 0.046 | |
| TFSVIArchitecture=two-hidden-layer Bayesian neural network, Seeds=52026.06 | 10.9 | 3.72 | 5.741 | 0.042 | |
| FBNNArchitecture=two-hidden-layer Bayesian neural network, Seeds=52026.06 | 12.11 | 3.888 | 6.863 | 0.075 |