Paper ID: 2301.07978

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

Ioannis Dimolitsas, Spyridon Kantarelis, Afroditi Fouka

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.

Submitted: Jan 19, 2023