Evaluation metrics for the Neural Network classifier performance using the StarHorse sample. Left: ROC curve. Black dot is in the “elbow” of the ROC curve and it shows the best balance between completeness and purity. Right: precision-recall curve. In both cases, we compare our model (orange solid curve) with a classifier that has no class separation capacity (blue dashed curve).