Discrete Choice Prediction on LPMC 10K random subsample n = 1,501 (test)
74.4AccuracyTABPFN
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| TABPFNtype=Transformer for tabular classification2026.05 | 74.4 | — | — | — | |
| MITRAtype=Neural-embedded discrete choice model2026.05 | 74.2 | 50.8 | 7.47 | 5.7 | |
| ADAPT+TABPFNBase Model=TABPFN, Adapter=Two-Stage Behavioral2026.05 | 72.1 | 100 | 1.76 | 18.3 | |
| ADAPT+MITRABase Model=MITRA, Adapter=Two-Stage Behavioral2026.05 | 71.8 | 100 | 1.76 | 18.3 | |
| MNLtype=Multinomial Logit2026.05 | 69.8 | 100 | 1.76 | 18.3 |