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Classification accuracy is not enough
2013
Journal of Intelligent Information Systems
We argue that an evaluation of system behavior at the level of the music is required to usefully address the fundamental problems of music genre recognition (MGR), and indeed other tasks of music information retrieval, such as autotagging. A recent review of works in MGR since 1995 shows that most (82 %) measure the capacity of a system to recognize genre by its classification accuracy. After reviewing evaluation in MGR, we show that neither classification accuracy, nor recall and precision,
doi:10.1007/s10844-013-0250-y
fatcat:kwoquuwuajhrnp7btbth2ke264