Comparison of Machine Learning Algorithms for Credit Score-based Banking Customer Churn Prediction

A high customer churn rate represents a significant challenge for the banking industry, leading to substantial financial losses and higher acquisition costs for new customers. Proactively identifying customers who are likely to churn is essential for implementing effective retention strategies. This...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Suryadillah Hendrawinata, Jasmir Jasmir, Gunardi Gunardi
Médium:	Artigo
Jazyk:	Indonésio
Vydáno:	Islamic University of Indragiri 2026-05-01
Edice:	Sistemasi: Jurnal Sistem Informasi
Témata:	classification customer churn crisp-dm random forest xgboost
On-line přístup:	https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/6148
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!