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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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2022
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| Subjects: | |
| 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 |