From the 3465 configurations, representing X materials, we have the following confusion matrix. False positives and false negatives are relatively equally represented.
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Using what we learned when trying to use the MLFF's latent space for Tc prediction, there's a way we can simplify things for the prediction model and give it a better change of picking up on the signa
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Plot produced by taking the features generated by Orb (256 dim output) and visualizing different dimensionality reduction methods on them and coloring the point by Tc from the 3DSC database.
Evaluating the validation set (1155 samples) on the trained CatBoost model to predict Tc.
From the 3465 configurations, representing X materials, we have the following ROC curve.