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From the 3465 configurations, representing X materials, we have the following confusion matrix. False positives and false negatives are relatively equally represented.
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.