InstanceEngine.best_model

InstanceEngine.best_model(key='average_precision', split='validation')

Which model scored best, by one column of evaluate.

The name alone, because a (model, decoding) pair is not a model: the rows are searched over both axes and the winning row’s model is returned, so a model that wins only through connected_components is reported as the winner it is - which is the result this dataset actually produced.