Is there a Universal Classifier? One which can perform binary, multi-class and multi-label classification • /r/MachineLearning

Machine learning classification can be categorized into single-label classification (binary and multi-class) and multi-label classification. Single label classification problems involve mapping each of the input vectors to its unique target class from a pool of target classes/labels. However, there are several classification problems in which the target classes are not mutually exclusive and the input samples belong to more than one target class. These problems cannot be classified using the single label classification thus resulting in the need for multi-label classification in which each input sample belongs to a subset of target classes. Several machine learning classifiers have been developed and is available in the literature for each of the classification types. But the major limitation of all the classifiers in the literature is that, the classifiers are limited only to the particular type of classification problem for which it has been trained.