Predicting Musical Eras of Songs
نویسندگان
چکیده
The goal of the project is to predict the year in which a certain piece of music was created. We used a subset of Million Song Dataset written for standardized tests to train different models including Naive Bayes Classifier, Generalized Linear Model, Random Forest, and Gradient Boosting Machine. Comparisons are made based on the results(mean square error and feature importance) from various training sizes and different models.
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