论文标题
预测Afrobeats使用Spotify数据击中歌曲
Predicting Afrobeats Hit Songs Using Spotify Data
论文作者
论文摘要
这项研究解决了热门歌曲科学问题，目的是预测Afrobeats类型中的哪些歌曲将在Spotify听众中流行。通过Spotify Web API生成了2063首歌曲的数据集，并具有提供的音频功能。事实证明，随机森林和梯度增强算法是成功的，大约F1得分为86％。
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%.
