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MME-only models trained with lightly perturbed data for JAMES paper "Machine-learned uncertainty quantification is not magic"

<p>This tar file contains all 100 trained models in the MME-only ensemble from Experiment 2 (i.e., those trained with lightly perturbed data). &nbsp;To read one of the models into Python, you can use the method neural_net.read_model in the ml4rt library.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0