A New Approach to Multilabel Stratified Cross Validation with Application to Large and Sparse Gene Ontology Datasets

Multilabel learning is an important topic in machine learning research. Evaluating models in multilabel settings requires specific cross validation methods designed for multilabel data. In this article, we show a weakness in an evaluation metric widely used in literature and we present improv