Regression on Abalone (test) (Correlation Metrics)
0.79Correlation (Full)BNN-HORSE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| BNN-HORSEHidden layers=2, Nodes per layer=200, Initial weights=43'8092025.03 | 0.79 | 0.79 | 141.5 | 3 | 3 | |
| BNN-CONCRETEHidden layers=2, Nodes per layer=200, Initial weights=43'8092025.03 | 0.79 | — | 48 | 3 | 3 | |
| Laplace-SpaMHidden layers=2, Nodes per layer=200, Initial weights=43'8092025.03 | 0.79 | 0.77 | 2,290 | 3 | 3 | |
| ISLaB-LRTHidden layers=2, Nodes per layer=200, Initial weights=43'8092025.03 | 0.78 | 0.78 | 24.5 | 1.62 | 2 | |
| ISLaB-FLOWHidden layers=2, Nodes per layer=200, Initial weights=43'8092025.03 | 0.78 | 0.78 | 11 | 1.33 | 2 | |
| IS-ANN-L1Hidden layers=2, Nodes per layer=200, Initial weights=43'8092025.03 | 0.78 | 0.78 | 95 | 2.13 | 3 | |
| BLR-FLOWHidden layers=2, Nodes per layer=200, Initial weights=43'8092025.03 | 0.76 | 0.76 | 7 | 1 | 1 | |
| BLR-LRTHidden layers=2, Nodes per layer=200, Initial weights=43'8092025.03 | 0.74 | 0.74 | 9 | 1 | 1 |