The Use of Decision Trees and Naïve Bayes Algorithms and Trace Element Patterns for Controlling the Authenticity of Free-Range-Pastured Hens’ Eggs

Autor:	Rommel Melgaço Barbosa, Fernando Barbosa, Letícia Ramos Nacano, Rodolfo de Freitas, Bruno Lemos Batista
Rok vydání:	2014
Předmět:	Alternative methods Naive Bayes classifier embryonic structures Decision tree Trace element Algorithm Inductively coupled plasma mass spectrometry Food Science Mathematics
Zdroj:	Journal of Food Science. 79:C1672-C1677
ISSN:	0022-1147
DOI:	10.1111/1750-3841.12577
Popis:	This article aims to evaluate 2 machine learning algorithms, decision trees and naive Bayes (NB), for egg classification (free-range eggs compared with battery eggs). The database used for the study consisted of 15 chemical elements (As, Ba, Cd, Co, Cs, Cu, Fe, Mg, Mn, Mo, Pb, Se, Sr, V, and Zn) determined in 52 eggs samples (20 free-range and 32 battery eggs) by inductively coupled plasma mass spectrometry. Our results demonstrated that decision trees and NB associated with the mineral contents of eggs provide a high level of accuracy (above 80% and 90%, respectively) for classification between free-range and battery eggs and can be used as an alternative method for adulteration evaluation.
Databáze:	OpenAIRE
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