Table 2. Classifier performance on the Alberti dataset.

Performance is measured with leave-one-protein-out cross-validation using the area under the ROC curve (AUC-ROC) and the area under the precision recall curve (AUC-PR); the curves are provided in Figure B in S1 File.

Classifier	AUC-ROC	AUC-PR
pRANK	96.8	96.8
miSVM	92.2	90.4
SVM	87.4	87.8
Random Forests	88.0	90.6
PAPA	95.1	96.8
PrionW	86.7	89.8
PLAAC	68.7	74.7