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Not a very robust report yet. We're not through all the data points and these results come from a few different models (trained with more data as it came available)
Interactive plot of predicted vs. true Tc on the evaluation set.
Visualizing the counts of materials in the training and evaluation dataset by their Tc. First bin is non-superconductors, the rest are ranges of 20 K increments.
Seeing how the Orb latent space classifier model predicts materials with Tc greater than 90 K, when the model was only trained on materials with Tc less than 90 K.