This paper contains a description of a machine-learning-based system for recognition and prediction of music. The presented system uses advanced data-mining algorithms: neural networks and rough-sets. The system was applied for two main purposes: recognition of musical: structures (phrase, rhythm and harmony) and for the prediction of musical elements (melody, rhythm and harmony). The system was optimized for each of the purposes. The problems related to the optimization process are presented. Conclusions concerning application of the machine learning methods to the music domain are derived and included.
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