Results 101 to 110 of about 17,450 (209)

Applying CHAID for logistic regression diagnostics and classification accuracy improvement [PDF]

In this study a CHAID-based approach to detecting classification accuracy heterogeneity across segments of observations is proposed. This helps to solve some important problems, facing a model-builder: 1. How to automatically detect segments in which the
Antipov, Evgeny, Pokryshevskaya, Elena
core   +1 more source

Prediction of bank credit customers churn based on machine learning and interpretability analysis

Data Science in Finance and Economics
Nowadays, traditional machine learning methods for building predictive models of credit card customer churn are no longer sufficient for effective customer management. Additionally, interpreting these models has become essential.
Ying Li, Keyue Yan
doaj   +1 more source

Research on customer churn prediction and model interpretability analysis. [PDF]

PLoS One, 2023
Peng K, Peng Y, Li W.
europepmc   +1 more source

Customer churn prediction using composite deep learning technique. [PDF]

Sci Rep, 2023
Khattak A, Mehak Z, Ahmad H, Asghar MU, Asghar MZ, Khan A.   +5 more
europepmc   +1 more source

An efficient churn prediction model using gradient boosting machine and metaheuristic optimization. [PDF]

Sci Rep, 2023
AlShourbaji I, Helian N, Sun Y, Hussien AG, Abualigah L, Elnaim B.   +5 more
europepmc   +1 more source

CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction

Journal of Big Data
Class imbalance is one of many problems of customer churn datasets. One of the common problems is class overlap, where the data have a similar instance between classes.
I Nyoman Mahayasa Adiputra, Paweena Wanchai   +1 more
doaj   +1 more source

Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries. [PDF]

Biomimetics (Basel), 2023
Mengash HA, Alruwais N, Kouki F, Singla C, Abd Elhameed ES, Mahmud A.   +5 more
europepmc   +1 more source

Customer retention and churn prediction in the telecommunication industry: a case study on a Danish university. [PDF]

SN Appl Sci, 2023
Saleh S, Saha S.
europepmc   +1 more source

A Data Imputation Strategy to Enhance Online Game Churn Prediction, Considering Non-Login Periods

Data
User churn in online games refers to players becoming inactive for an extended period. Even a small increase in churn can lead to significant revenue loss, making churn prediction crucial for sustaining long-term player engagement.
JaeHong Lee, Pavinee Rerkjirattikal, SangGyu Nam   +2 more
doaj   +1 more source

Machine learning based customer churn prediction in home appliance rental business. [PDF]

J Big Data, 2023
Suh Y.
europepmc   +1 more source