Classification of Milk Samples Using CART
Abstract Classification and regression tree (CART) analyses have not been explored yet in the field of food physicochemical analysis, to the best of our knowledge. In this work, we tested its classification performance on a set of physicochemical data from raw milk samples from Southern Brazil we already analyzed via well-known supervised methods in a previous work. CART performed better than most of the previously employed methods regarding specificity, sensitivity, and accuracy when classifying samples from the training set. These findings suggest CART could also be employed to classify milk samples as compliant or not to Brazilian regulations and possibly to other countries’ regulations as well..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2019 |
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| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:13 |
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| Enthalten in: |
Food analytical methods - 13(2019), 1 vom: 06. Apr., Seite 13-20 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Hansen, Lucas [VerfasserIn] |
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| Links: |
Volltext [lizenzpflichtig] |
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| Themen: |
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| Anmerkungen: |
© Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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| doi: |
10.1007/s12161-019-01493-9 |
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| funding: |
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| 520 | |a Abstract Classification and regression tree (CART) analyses have not been explored yet in the field of food physicochemical analysis, to the best of our knowledge. In this work, we tested its classification performance on a set of physicochemical data from raw milk samples from Southern Brazil we already analyzed via well-known supervised methods in a previous work. CART performed better than most of the previously employed methods regarding specificity, sensitivity, and accuracy when classifying samples from the training set. These findings suggest CART could also be employed to classify milk samples as compliant or not to Brazilian regulations and possibly to other countries’ regulations as well. | ||
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