SpotHitPy: A Study For ML-Based Song Hit Prediction Using Spotify

01/19/2023

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by   Ioannis Dimolitsas, et al.

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In this study, we approached the Hit Song Prediction problem, which aims to predict which songs will become Billboard hits. We gathered a dataset of nearly 18500 hit and non-hit songs and extracted their audio features using the Spotify Web API. We test four machine-learning models on our dataset. We were able to predict the Billboard success of a song with approximately 86% accuracy. The most succesful algorithms were Random Forest and Support Vector Machine.