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Statistical learning theory was mainly developed in the framework of binary classification under the assumption that observations in the training set form an i.i.d. sample. The techniques involved in order to provide statistical guarantees for state-of-the-art learning algorithms are borrowed from t ...

The Precision-Recall (PR) curve is a widely used visual tool to evaluate the performance of scoring functions in regards to their capacities to discriminate between two populations. The purpose of this paper is to examine both theoretical and practical issues related to the statistical estimation of ...