Music success (feat. RDF): A study on music features’ contribution to music success in Spotify through random decision forests.

Music success (feat. RDF): A study on music features’ contribution to music success in Spotify through random decision forests.

The growing use of predictive analysis can be seen in volatile industries such as the music industry. Our study contributed to determining which song features are able to assist a song in making it to the top charts with the use of a feature ranking model to establish which specific features are dee...

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Bibliographic Details
Main Authors: Cu, Irizze Gail L., Espanola, Jibril Denn S., Lim, Kirsten Nicholle B., Mercado, Juan Lorenzo J.
Format: text
Language:English
Published: Animo Repository 2022
Subjects:
Music trade
Other Business
Online Access:https://animorepository.dlsu.edu.ph/etdb_dsi/91
https://animorepository.dlsu.edu.ph/context/etdb_dsi/article/1057/viewcontent/Music_Success__feat._RDF___A_Study_on_Music_Features__Contributio_Redacted2.pdf
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Institution: De La Salle University
Language: English

Internet

https://animorepository.dlsu.edu.ph/etdb_dsi/91
https://animorepository.dlsu.edu.ph/context/etdb_dsi/article/1057/viewcontent/Music_Success__feat._RDF___A_Study_on_Music_Features__Contributio_Redacted2.pdf

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