Classifying Music Genres with LightGBM

Optuna Hyperparameter Optimization and Dimension Reduction

This article outlines a process for using tuned LightGBM models to classify songs into genres, based on the songs’ audio and lyric features. It draws on publicly available music data from a Kaggle music dataset. LightGBM is a gradient-boosting framework, based on decision tree algorithms, that is regarded as one of the best out-of-the box models available today. It comes with a wide range of tunable parameters …

data science data visualization lightgbm machine learning music python