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Visualizing Ensemble Predictions of Music Mood
[article]
2022
arXiv
pre-print
Music mood classification has been a challenging problem in comparison with other music classification problems (e.g., genre, composer, or period). One solution for addressing this challenge is to use an ensemble of machine learning models. In this paper, we show that visualization techniques can effectively convey the popular prediction as well as uncertainty at different music sections along the temporal axis while enabling the analysis of individual ML models in conjunction with their
arXiv:2112.07627v2
fatcat:xwefspqsuvevtpmd4erthqc4gy