Assessing predictive performance of supervised machine learning algorithms for a diamond pricing model

This study conducted a comprehensive analysis of multiple supervised machine learning models, regressors and classifiers, to accurately predict diamond prices. Diamond pricing is a complex task due to the non-linear relationships between key features such as carat, cut, clarity, table, and depth. Th...

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Detalles Bibliográficos
Autores principales: Kigo, Samuel Njoroge, Omondi, Evans Otieno, Omolo, Bernard Oguna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570374/
https://www.ncbi.nlm.nih.gov/pubmed/37828360
http://dx.doi.org/10.1038/s41598-023-44326-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570374/
https://www.ncbi.nlm.nih.gov/pubmed/37828360
http://dx.doi.org/10.1038/s41598-023-44326-w

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