Review on Multilabel Classification Algorithms

Multilabel classification is a framework in which each input data in training data set can be related to more than one class labels simultaneously. The goal of multilabel classification is to produce set of labels for unseen instances by analyzing training dataset. This paper presents fundamentals of multilabel classification, some multilabel classification algorithms and evaluation metrics.