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

Abstract 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...

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Bibliographic Details
Main Authors: Samuel Njoroge Kigo, Evans Otieno Omondi, Bernard Oguna Omolo
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-44326-w

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