Classification on Mice Protein (Accuracy and Depth Metrics)
100Full AccuracyLaplace-SpaM
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Laplace-SpaMHidden layers=4, Nodes per layer=100, Initial weights=62’2162025.03 | 100 | 94 | 1,931 | 5 | 5 | |
| ISLaB-LRTHidden layers=4, Nodes per layer=100, Initial weights=62’2162025.03 | 99.1 | 99.1 | 140 | 1 | 1 | |
| IS-ANN-L1Hidden layers=4, Nodes per layer=100, Initial weights=62’2162025.03 | 99.1 | 99.1 | 214.5 | 1.02 | 2 | |
| BNN-HORSEHidden layers=4, Nodes per layer=100, Initial weights=62’2162025.03 | 99.1 | 99.1 | 542.5 | 5 | 5 | |
| BNN-CONCRETEHidden layers=4, Nodes per layer=100, Initial weights=62’2162025.03 | 99.1 | — | 9,282 | 5 | 5 | |
| ISLaB-FLOWHidden layers=4, Nodes per layer=100, Initial weights=62’2162025.03 | 97.2 | 97.2 | 98.5 | 1 | 1 | |
| BLR-LRTHidden layers=4, Nodes per layer=100, Initial weights=62’2162025.03 | 96.8 | 96.8 | 63 | 1 | 1 | |
| BLR-FLOWHidden layers=4, Nodes per layer=100, Initial weights=62’2162025.03 | 96.8 | 96.3 | 103 | 1 | 1 |