Fig. 2: Classifier performance.
From: Machine learning-based discovery of vibrationally stable materials
The receiver operating characteristic curve (ROC) of the random forest classifier across fivefolds, comparing the ROC obtained by fitting the dataset with synthetic data and without synthetic data. The mean area under curve (AUC) measure for the model trained on synthetic data is 0.73.
