Mixed-identifiability classification on Mixed-identifiability MNIST (test)
99.8AccuracyBEARS (best fair)
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| BEARS (best fair)models=52026.06 | 99.8 | 0.006 | 0.158 | 0.91 | |
| basemodels=12026.06 | 99.6 | 0.003 | 0.614 | 0.05 | |
| orbit-averagingmodels=12026.06 | 99.6 | 0.004 | 0.01 | 0.94 | |
| BEARS (aggressive)models=52026.06 | 59 | 0.657 | 0.063 | 1.7 |