title: The use of decision trees and naïve Bayes algorithms and trace element patterns for controlling the authenticity of free-range-pastured hens' eggs.
abstract: This article aims to evaluate 2 machine learning algorithms, decision trees and naïve 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.
authors.affiliation: Inst. Informática, Univ. Federal de Goiás, Goiânia-Go, Brazil.
authors.forename: Rommel Melgaço
authors.initials: RM
authors.lastname: Barbosa
authors.forename: Letícia Ramos
authors.initials: LR
authors.lastname: Nacano
authors.forename: Rodolfo
authors.initials: R
authors.lastname: Freitas
authors.forename: Bruno Lemos
authors.initials: BL
authors.lastname: Batista
authors.forename: Fernando
authors.initials: F
authors.lastname: Barbosa
mesh_terms: D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D001499:Bayes Theorem; D002645:Chickens; D003663:Decision Trees; D004531:Eggs / Q000032:analysis*; D005260:Female; D063427:Food Quality; D013058:Mass Spectrometry / Q000379:methods; D010363:Pattern Recognition, Automated; D014131:Trace Elements / Q000032:analysis
chemical_list: D014131:Trace Elements
keywords: ICP-MS; chemometrics; decision trees; eggs; minerals; naïve Bayes