Comparison of machine learning classification algorithms for purchasing forecast

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dc.authorid0000-0002-2774-6799en_US
dc.authorid0000-0002-9535-4527en_US
dc.contributor.authorÖzdemir, Rabia
dc.contributor.authorTuranlı, Münevver
dc.date.accessioned2021-05-02T12:14:50Z
dc.date.available2021-05-02T12:14:50Z
dc.date.issued2021en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, İstatistik Bölümüen_US
dc.description.abstractWith the development of computer technologies and invention of internet, many concepts have entered our lives. With the starting of wide usage of globalized internet network, concept of machine learning has emerged in time for smarter management of data flow in big dimensions. In line with technological developments, all activities began to be carried to digital environment and as a result of this, concept of e-commerce has entered our lives. E-commerce is one of the areas where machine learning is used most widely. By examining product purchasing situations in accordance with data available at the enterprises, various researches have been made for selection of most appropriate model in order to predict future data. In the study it was mentioned about concepts of e-commerce and machine learning and by applying Logistic Regression, Naïve Bayes and Support Vector Machines being machine learning classification algorithms, it has been aimed to determine the model having best accuracy ratio.en_US
dc.identifier.doi10.15637/jlecon.8.1.06en_US
dc.identifier.endpage68en_US
dc.identifier.issue1en_US
dc.identifier.startpage59en_US
dc.identifier.urihttps://hdl.handle.net/11467/4882
dc.identifier.urihttps://doi.org/10.15637/jlecon.8.1.06
dc.identifier.volume8en_US
dc.language.isoenen_US
dc.publisherRating Academyen_US
dc.relation.ispartofJournal of Life Economicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectE-commerceen_US
dc.subjectLogistic Regressionen_US
dc.subjectNaïve Bayesen_US
dc.subjectSupport Vector Machinesen_US
dc.subjectClassificationen_US
dc.titleComparison of machine learning classification algorithms for purchasing forecasten_US
dc.typeArticleen_US

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