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All Journal POSITIF InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan SISFOTENIKA Technomedia Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal ADI Journal on Recent Innovation (AJRI) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics International Journal of Marine Engineering Innovation and Research ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Journal of Applied Data Sciences IAIC Transactions on Sustainable Digital Innovation (ITSDI) International Journal of Engineering, Science and Information Technology International Journal of Cyber and IT Service Management (IJCITSM) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Marviola Hardini
Universitas Raharja
Religion Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : journal of applied data sciences

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Deciphering Digital Social Dynamics: A Comparative Study of Logistic Regression and Random Forest in Predicting E-Commerce Customer Behavior Sunarya, Po Abas; Rahardja, Untung; Chen, Shih Chih; Lic, Yung-Ming; Hardini, Marviola
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.155

Abstract

This study compares Logistic Regression and Random Forest in predicting e-commerce customer churn. Utilizing the E-commerce Customer dataset, it navigates the complexities of customer interactions and behaviors, offering a rich context for analysis. The methodology focuses on meticulous data preprocessing to ensure data integrity, setting the stage for applying and evaluating Logistic Regression and Random Forest. Both models were assessed using accuracy, precision, recall, F1-Score, and AUC-ROC. Logistic Regression showed an accuracy of 90%, precision of 91% for class 0 and 82% for class 1, recall of 98% for class 0 and 50% for class 1, F1-Score of 94% for class 0 and 62% for class 1, and AUC-ROC of 0.88. Random Forest, with its ability to handle complex patterns, demonstrated higher overall performance with an accuracy of 95%, precision of 95% for class 0 and 93% for class 1, recall of 99% for class 0 and 74% for class 1, F1-Score of 97% for class 0 and 82% for class 1, and an AUC-ROC of 0.97. This comparative analysis offers insights into each model's strengths and suitability for predicting customer churn. The findings contribute to a deeper understanding of machine learning applications in e-commerce, guiding stakeholders in enhancing customer retention strategies. This research provides a foundation for further exploration into the digital social dynamics that shape customer behavior in the evolving digital marketplace.
Co-Authors Abbas, Maulana Aditya Mardiansyah Adiwijaya, Alfri Agarwal, Vertika Ali Djamhuri Amitkumar Dudhat Andriyansah . Ani Wulandari Anjani, Sheila Aulia Ankur Singh Apriliasari, Dwi Arko Djajadi Astuti, Eka Dian Bist, Ankur Singh Candra, Ariya Panndhitthana Chandra Abianto Chen, Shih Chih Dedeh Supriyanti Desy Apriani Dewi Immaniar Dwi Julianingsih Farail, Maulana Faqih Faturahman, Adam Fitra Putri Oganda Fitriani, Anandha Green, Thomas Harahap, Eka Purnama Hetilaniar Hetilaniar Hidayat, Nasrul Hikam, Ihsan Nuril Hiroshi Kenta Husni Teja Sukmana Ignatius Joko Dewanto, Ignatius Joko Ihsan Nuril Hikam Ikhsan, Ramiro Santiago Ilham, Muhammad Ghifari Julianingsih, Dwi Juliastuti, Dyah Kareem, Yasir Mustafa Karts, Kawl W Komara, Maulana Arif Leffia, Abigail Lena Magdalena Lic, Yung-Ming Lusyani Sunarya Maulana, Sabda Megha Upreti Mertayasa, I Komang Mey Anggraeni Mochamad Heru Riza Chakim Muhamad Yusup Muhammad Rehan Anwar Nanda Septiani Natalia, Elisa Ananda Ninda Lutfiani Novalita Savitri, Agnes Nuke Puji Lestari Santoso Nur Azizah NURAENI, RANI Nurasiah Nurasiah Nurhaeni, Tuti Pandey, Chitra Parker, Jonathan Po Abas Sunarya Pujiati, Tri Qurotul Aini Rafika, Ageng Setiani Rawat, Buphest Rissa Rahmania Santoso, Nuke Puji Lestari Semaria Eva Elita Girsang Setiawaty, Elika Sihotang, Sondang Visiana Siti Nurindah Sari Souza Nurafrianto Windiartono Putra Sudaryono Sudaryono Sunarjo, Richard Andre Suryari Purnama Susilawati Syauqi Naufal, Romzi Tarisya Ramadhan Tojiri, Yusuf Tuti Nurhaeni Untung Rahardja Upreti, Megha Vaher, Kristina Wagner, Cristiano Gatot Widjaya, Irene Apriani Widya Febriani Yao, Goh