COMPARATIVE ANALYSIS OF BANK CUSTOMER CHURN PREDICTION USING LOGISTIC REGRESSION AND DECISION TREE
Due to the rapid development of technology and innovation in the banking sector caused by the COVID-19 pandemic, the competition between banks is getting tougher. Besides gaining customers, maintaining a close relationship with existing customers is one of the company's obligations. Indeed, cus...
Saved in:
Main Author: | Gracia, Fiorenza |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/72949 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
PREDICTING BANK CUSTOMER CHURN USING LOGISTIC REGRESSION AND DECISION TREES
by: Fachrizal Amni, Azka -
GRADIENT BOOST TREE AND CATBOOST METHODS IN BANK CUSTOMER CHURN MODELING
by: Anna, Catherina -
PREDICTION MODEL OF AGRICULTURE LOAN REPAYMENT BY FARMERS USING LOGISTIC REGRESSION AND DECISION TREE
by: Kirana Prima Satyasanti, Maria -
CUSTOMER CHURN ANALYSIS: ANALYZING CUSTOMER CHURN DETERMINANTS ON INDIHOME AND PROPOSED BUSINESS STRATEGY
by: Salma, Nisrina -
MODEL TREE ENSEMBLE LEARNING FOR CHURN PREDICTION USING THEGRADIENT BOOST TREE AND EXTREME GRADIENT BOOST TREE METHODS
by: Ayu Lestari, Fitri