This project focuses on predicting the genre of songs using a dataset containing audio features of songs collected through a Spotify API. The goal is to develop a classification model to accurately predict the genre based on these audio features.
The Gradient Boosting Classifier was selected as the best-performing model with an average AUC score of 0.90, demonstrating its effectiveness in predicting music genres based on the provided audio features. The ROC Curve can be seen below:
