PREDICTING BANK CUSTOMER CHURN USING LOGISTIC REGRESSION AND DECISION TREES

PREDICTING BANK CUSTOMER CHURN USING LOGISTIC REGRESSION AND DECISION TREES

Banks, as vital financial institutions, play a crucial role in supporting economic growth and have experienced a shift in customer behavior towards digital services due to the Covid-19 pandemic. One strategy to address customer retention is by building a model that can predict bank customer churn...

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Bibliographic Details
Main Author:	Fachrizal Amni, Azka
Format:	Final Project
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/81852
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Institut Teknologi Bandung
Language:	Indonesia

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