COMPARATIVE ANALYSIS OF LOGISTIC REGRESSION, DECISION TREE, AND RANDOM FOREST FOR HIGH - VALUE CUSTOMER TRANSACTION PREDICTION

HAEKAL, MUHAMMAD ILHAM (2026) COMPARATIVE ANALYSIS OF LOGISTIC REGRESSION, DECISION TREE, AND RANDOM FOREST FOR HIGH - VALUE CUSTOMER TRANSACTION PREDICTION. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

COMPARATIVE ANALYSIS OF LOGISTIC REGRESSION, DECISION TREE, AND RANDOM FOREST FOR HIGH - VALUE CUSTOMER TRANSACTION PREDICTION

Item Type:	Thesis (S1)
NIM/NIDN Creators:	41522010223
Uncontrolled Keywords:	Transaksi Bernilai Tinggi, Regresi Logistik, Pohon Keputusan, Hutan Acak, Pemodelan Prediktif, Perilaku Pelanggan, Kumpulan Data Ritel Online, Analisis E-Commerce, XGBoots
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika 100 Philosophy and Psychology/Filsafat dan Psikologi > 150 Psychology/Psikologi > 154 Subconscious and Altered States and Process/Psikologi Bawah Sadar > 154.6 Sleep Phenomena/Fenomena Tidur > 154.63 Dreams/Mimpi > 154.634 Analysis/Analisis 600 Technology/Teknologi > 650 Management, Public Relations, Business and Auxiliary Service/Manajemen, Hubungan Masyarakat, Bisnis dan Ilmu yang Berkaitan > 658 General Management/Manajemen Umum > 658.8 Marketing, Management of Distribution/Marketing, Manajemen Distribusi
Divisions:	Fakultas Ilmu Komputer > Informatika
Depositing User:	khalimah
Date Deposited:	04 Feb 2026 02:35
Last Modified:	04 Feb 2026 02:35
URI:	http://repository.mercubuana.ac.id/id/eprint/100826

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