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LLM evaluation correctness on PPE Correctness track

0.26MSE / PPILinearCal
0.23040.43020.630.8298Apr 23, 2026

Evaluation results

MethodLinks
LinearCaln=400, Estimator=LinearCal2026.040.2610.598.9
Plattn=400, Estimator=Platt2026.040.2610.598.9
AIPW-EMn=400, Estimator=AIPW-EM2026.040.26210.398.9
AutoCaln=400, Estimator=AutoCal2026.040.26310.298.8
MonoSplinen=400, Estimator=MonoSpline2026.040.2639.498.9
IsoCaln=400, Estimator=IsoCal2026.040.2658.998.9
PPI++n=400, Estimator=PPI++2026.040.2768.398.9
Labeled-onlyn=400, Estimator=Labeled-only2026.040.299098.8
Plattn=100, Estimator=Platt2026.040.30410.293
LinearCaln=100, Estimator=LinearCal2026.040.30510.193.1
AIPW-EMn=100, Estimator=AIPW-EM2026.040.3099.593
MonoSplinen=100, Estimator=MonoSpline2026.040.3099.292.6
IsoCaln=100, Estimator=IsoCal2026.040.3098.992.5
AutoCaln=100, Estimator=AutoCal2026.040.319.492.9
PPI++n=100, Estimator=PPI++2026.040.33792.9
Labeled-onlyn=100, Estimator=Labeled-only2026.040.346092.7
AIPWn=400, Estimator=AIPW2026.040.4050.994.1
AIPWn=100, Estimator=AIPW2026.040.7740.990.6
PPIn=100, Estimator=PPI2026.041190.4
PPIn=400, Estimator=PPI2026.041292.4