Perovskite model scoring gets a new split: a lookup table matches the published best on random splits, and neural models overtake trees on unseen institutions
Evaluating perovskite solar-cell machine learning with provenance-grouped splits shows a lookup table that learns nothing matches the published state of the art on a random split, while neural models overtake tree ensembles on unseen institutions and later years.