10-401 Project Final Report: Algorhythms
نویسنده
چکیده
Popular music streaming services like Spotify and Pandora are able to suggest songs to users based on a variety of factors. One of the major ones is the music’s genre. The aim of our project is to explore machine learning algorithms that can identify a song’s genre based on its metadata. This report outlines various research methods and discusses their performance. It provides an overview of our dataset and the performance of our final Neural Net, SVM and XGBoosting architectures. Depending on our training and test data, our Neural Net achieved between 56% 88% accuracy, our SVM achieved between 71% 94% accuracy, and XGBoosting achieved between 62% 95% accuracy.
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