A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler

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Author contribution: All authors made an equal contribution to the development and planning of the study. Conflict of Interest: The authors have no potential conflicts of interest, or such divergences linked with this research study. Data Availability Statement: Data are available from the authors u...

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Detalles Bibliográficos
Autores: Tineo Flores, Daniel, Murillo, Yuriko S., Marin, Mercedes, Gomez Fernandez, Darwin, Taboada, Víctor H., Goñas Goñas, Malluri, Quiñonez Huatangari, Lenin
Formato: artículo
Fecha de Publicación:2024
Institución:Instituto Nacional de Innovación Agraria
Repositorio:INIA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.inia.gob.pe:20.500.12955/2703
Enlace del recurso:http://hdl.handle.net/20.500.12955/2703
Nivel de acceso:acceso abierto
Materia:Algorithms
data mining
functional traits
machine learning
Theobroma cacao.
https://purl.org/pe-repo/ocde/ford#4.01.01
Cacao
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network_acronym_str INIA
network_name_str INIA-Institucional
repository_id_str 4830
dc.title.none.fl_str_mv A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler
title A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler
spellingShingle A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler
Tineo Flores, Daniel
Algorithms
data mining
functional traits
machine learning
Theobroma cacao.
https://purl.org/pe-repo/ocde/ford#4.01.01
Cacao
title_short A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler
title_full A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler
title_fullStr A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler
title_full_unstemmed A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler
title_sort A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler
author Tineo Flores, Daniel
author_facet Tineo Flores, Daniel
Murillo, Yuriko S.
Marin, Mercedes
Gomez Fernandez, Darwin
Taboada, Víctor H.
Goñas Goñas, Malluri
Quiñonez Huatangari, Lenin
author_role author
author2 Murillo, Yuriko S.
Marin, Mercedes
Gomez Fernandez, Darwin
Taboada, Víctor H.
Goñas Goñas, Malluri
Quiñonez Huatangari, Lenin
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Tineo Flores, Daniel
Murillo, Yuriko S.
Marin, Mercedes
Gomez Fernandez, Darwin
Taboada, Víctor H.
Goñas Goñas, Malluri
Quiñonez Huatangari, Lenin
dc.subject.none.fl_str_mv Algorithms
data mining
functional traits
machine learning
Theobroma cacao.
topic Algorithms
data mining
functional traits
machine learning
Theobroma cacao.
https://purl.org/pe-repo/ocde/ford#4.01.01
Cacao
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#4.01.01
dc.subject.agrovoc.none.fl_str_mv Cacao
description Author contribution: All authors made an equal contribution to the development and planning of the study. Conflict of Interest: The authors have no potential conflicts of interest, or such divergences linked with this research study. Data Availability Statement: Data are available from the authors upon request.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2025-04-01T20:37:41Z
dc.date.available.none.fl_str_mv 2025-04-01T20:37:41Z
dc.date.issued.fl_str_mv 2024-09-24
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv Daniel Tineo et al., 'A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler,' Qubahan Academic Journal, Vol. 4, No. 3, pp. 713-724, September 2024. DOI: 10.48161/qaj.v4n3a571
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12955/2703
dc.identifier.doi.none.fl_str_mv 10.48161/qaj.v4n3a571
identifier_str_mv Daniel Tineo et al., 'A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler,' Qubahan Academic Journal, Vol. 4, No. 3, pp. 713-724, September 2024. DOI: 10.48161/qaj.v4n3a571
10.48161/qaj.v4n3a571
url http://hdl.handle.net/20.500.12955/2703
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofseries.none.fl_str_mv Qubahan Academic Journal
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.country.none.fl_str_mv IQ
dc.source.none.fl_str_mv Instituto Nacional de Innovación Agraria
reponame:INIA-Institucional
instname:Instituto Nacional de Innovación Agraria
instacron:INIA
instname_str Instituto Nacional de Innovación Agraria
instacron_str INIA
institution INIA
reponame_str INIA-Institucional
collection INIA-Institucional
dc.source.uri.none.fl_str_mv Repositorio Institucional - INIA
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spelling Tineo Flores, DanielMurillo, Yuriko S.Marin, MercedesGomez Fernandez, DarwinTaboada, Víctor H.Goñas Goñas, MalluriQuiñonez Huatangari, Lenin2025-04-01T20:37:41Z2025-04-01T20:37:41Z2024-09-24Daniel Tineo et al., 'A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler,' Qubahan Academic Journal, Vol. 4, No. 3, pp. 713-724, September 2024. DOI: 10.48161/qaj.v4n3a571http://hdl.handle.net/20.500.12955/270310.48161/qaj.v4n3a571Author contribution: All authors made an equal contribution to the development and planning of the study. Conflict of Interest: The authors have no potential conflicts of interest, or such divergences linked with this research study. Data Availability Statement: Data are available from the authors upon request.The expression of crop functional traits is influenced by environmental and management conditions, which in turn is reflected in genetic diversity. This study employed a data mining approach to determine the functional traits of flowers that influence cocoa diversity. A total of 1,140 flowers from 228 trees were utilized in this study, with 177 representing fine aroma cocoa trees and 51 trees belonging to other commercial cultivars. Three attribute evaluators (InfoGainAttributeEval, CorrelationAttributeEval and GainRatioAttributeEval), and six algorithms (Naive Bayes, Multinomial Logistic Regression, J48, Random Forest, LTM and Simple Logistic) were employed in this study. The findings indicated that the GainRatioAttributeEval attribute generator was the most efficacious in discerning the functional trait in cocoa diversity flowers. The algorithms Simple Logistic and LMT were the most accurate and specific, while Naive Bayes was the most efficient in terms of computational complexity for model building. This research provides a comprehensive overview of the use of machine learning to analyze functional traits of flowers that most influence cocoa genetic diversity. It also highlights the need to further improve these models by integrating additional techniques to increase their efficiency and extend the data mining approach to other agricultural sectors.Funding statement: The authors wish to acknowledge that no specific funding or support was provided for this study. Acknowledgements: We are deeply grateful to Joseph Campos, Walter M. Abarca, Jonathan Cruz, Yolmer L, Yeltsin A, Jani M, Beimer Ch., for his support in the collection of field samples.Contenidos del Trabajo Depositado: Introducción Revisión de la Literatura Materiales y Métodos Área de Estudio y Descripción del Sitio Adquisición del Conjunto de Datos Proceso de Minería de Datos Selección de Atributos Técnicas de Clasificación Verificación del Rendimiento del Clasificador Resultados Selección de Características Verificación del Rendimiento del Clasificador Usando WEKA Explorer Verificación del Rendimiento del Clasificador Usando WEKA Experimenter Discusión Conclusión Declaración de Financiamiento Contribución de los Autores Conflicto de Intereses Declaración de Disponibilidad de Datos Agradecimientosapplication/pdfengQubahan Academic Journalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Instituto Nacional de Innovación Agrariareponame:INIA-Institucionalinstname:Instituto Nacional de Innovación Agrariainstacron:INIARepositorio Institucional - INIAAlgorithmsdata miningfunctional traitsmachine learningTheobroma cacao.https://purl.org/pe-repo/ocde/ford#4.01.01CacaoA Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modelerinfo:eu-repo/semantics/articleIQORIGINALA Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA 1.pdfA Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA 1.pdfapplication/pdf0https://repositorio.inia.gob.pe/bitstreams/06d2787f-8d0e-4b14-bba1-6ca268cc32b1/downloadd41d8cd98f00b204e9800998ecf8427eMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81792https://repositorio.inia.gob.pe/bitstreams/4f1cd9e6-b921-4752-b534-a6e89a26a277/downloada1dff3722e05e29dac20fa1a97a12ccfMD5220.500.12955/2703oai:repositorio.inia.gob.pe:20.500.12955/27032025-04-01 15:37:41.412https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.inia.gob.peRepositorio Institucional INIArepositorio@inia.gob.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A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler
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