Resampling Techniques for Materials Informatics: Limitations in Crystal Point Groups Classification.

Imbalanced data sets in materials informatics are pervasive and pose a challenge to the development of classification models. This work investigates crystal point group prediction as an example of an imbalanced classification problem in materials informatics. Multiple resampling and classification techniques were considered.