Comparison of machine learning classification algorithms for purchasing forecast

Rabia ÖZDEMİR; Münevver TURANLI

doi:https://doi.org/10.15637/jlecon.8.1.06

Makale detayları

Comparison of machine learning classification algorithms for purchasing forecast

Yazarlar:

Rabia ÖZDEMİR | Münevver TURANLI

Yayıncı:

Rating Academy

Ana Başlıklar:

Yönetim | Genel yönetim

Dergi:

Journal of Life Economics 2021 Vol.8 Issue 1, pp.59-68

Belge Tipi:

Makale

Yayın Tarihi:

1/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000741310

Sıklık:

Üç Aylık

eISSN:

2148-4139

DOI:

https://doi.org/10.15637/jlecon.8.1.06

Özet:

 

With 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.

 

With 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.

Makale detayları

Comparison of machine learning classification algorithms for purchasing forecast

Yazarlar: Rabia ÖZDEMİR | Münevver TURANLI

Yayıncı: Rating Academy

Ana Başlıklar: Yönetim | Genel yönetim

Dergi: Journal of Life Economics 2021 Vol.8 Issue 1, pp.59-68

Belge Tipi: Makale

Yayın Tarihi: 1/2021

Belge Dili: İngilizce

Document ID (Org No.): 2000741310

Sıklık: Üç Aylık

eISSN: 2148-4139

DOI: https://doi.org/10.15637/jlecon.8.1.06

Sayı

Yazarlar:

Rabia ÖZDEMİR | Münevver TURANLI

Yayıncı:

Rating Academy

Ana Başlıklar:

Yönetim | Genel yönetim

Dergi:

Journal of Life Economics 2021 Vol.8 Issue 1, pp.59-68

Belge Tipi:

Makale

Yayın Tarihi:

1/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000741310

Sıklık:

Üç Aylık

eISSN:

2148-4139

DOI:

https://doi.org/10.15637/jlecon.8.1.06