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Predicting Afrobeats Hit Songs Using Spotify Data by Adeagbo, Adewale is a scholarly article available to read on EtoBox.

What is Predicting Afrobeats Hit Songs Using Spotify Data about?

This study approached the Hit Song Science problem with the aim of predicting which songs in the Afrobeats genre will become popular among Spotify listeners. A dataset of 2063 songs was generated through the Spotify Web API, with the provided audio features. Random Forest and Gradient Boosting algorithms proved to be successful with approximately F1 scores of 86%.

Author

Adeagbo, Adewale

Published

2020

Language

EN