Binary Classification on Banana synthetic (in-distribution)
0.8777AccuracyLIN-RIEM-LA (BATCHES)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LIN-RIEM-LA (BATCHES)Prior optimization=Optimized, Mini-batching=true, MC samples=100, Number of seeds=52023.06 | 0.8777 | 0.298 | 0.0887 | |
| RIEM-LAPrior optimization=Optimized, MC samples=100, Number of seeds=52023.06 | 0.8757 | 0.287 | 0.0886 | |
| RIEM-LA (BATCHES)Prior optimization=Not Optimized, Mini-batching=true, MC samples=100, Number of seeds=52023.06 | 0.8732 | 0.294 | 0.0895 | |
| RIEM-LA (BATCHES)Prior optimization=Optimized, Mini-batching=true, MC samples=100, Number of seeds=52023.06 | 0.873 | 0.286 | 0.089 | |
| RIEM-LAPrior optimization=Not Optimized, MC samples=100, Number of seeds=52023.06 | 0.8714 | 0.285 | 0.0878 | |
| LIN-RIEM-LAPrior optimization=Optimized, MC samples=100, Number of seeds=52023.06 | 0.8702 | 0.415 | 0.0967 | |
| LIN-LAPrior optimization=Optimized, MC samples=100, Number of seeds=52023.06 | 0.8699 | 0.325 | 0.0956 | |
| LIN-LAPrior optimization=Not Optimized, MC samples=100, Number of seeds=52023.06 | 0.8692 | 0.403 | 0.1196 | |
| MAPPrior optimization=Optimized, MC samples=100, Number of seeds=52023.06 | 0.8669 | 0.333 | 0.093 | |
| MAPPrior optimization=Not Optimized, MC samples=100, Number of seeds=52023.06 | 0.8669 | 0.333 | 0.093 | |
| LIN-RIEM-LA (BATCHES)Prior optimization=Not Optimized, Mini-batching=true, MC samples=100, Number of seeds=52023.06 | 0.8616 | 0.352 | 0.0994 | |
| LIN-RIEM-LAPrior optimization=Not Optimized, MC samples=100, Number of seeds=52023.06 | 0.8533 | 0.884 | 0.1252 | |
| VANILLA LAPrior optimization=Optimized, MC samples=100, Number of seeds=52023.06 | 0.595 | 0.678 | 0.2426 | |
| VANILLA LAPrior optimization=Not Optimized, MC samples=100, Number of seeds=52023.06 | 0.4885 | 0.7 | 0.2534 |