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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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2023-10-01
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| Seria: | Scientific Reports |
| Dostęp online: | https://doi.org/10.1038/s41598-023-44326-w |
| Etykiety: |
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