Português
A valuation model for lab-grown diamonds
Event Title
XXX Jornadas de Classificação e Análise de Dados (JOCLAD2023)
Year (definitive publication)
2023
Language
English
Country
Portugal
More Information
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Abstract
This study aims to develop a valuation model for lab-grown cut diamonds
based on data published on the Internet. Regression trees, Bayesian Networks,
and K-Nearest Neighbors are used for this purpose. These different techniques
have a complementary role in the application. The K-Nearest Neighbors has
a better performance in prediction. Regression trees contribute to a better
understanding of the relationship between predictors and the target. Bayesian
Networks also add some insights in this respect. Finally, the models’ results
are compared to similar approaches when applied to natural diamonds.
Acknowledgements
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Keywords
Lab-grown diamonds,Price,Regression Trees,K-Nearest Neighbors,Bayesian Networks
