z-logo
open-access-imgOpen Access
Predicting credit card customer churn using support vector machine based on Bayesian optimization
Author(s) -
Kamil Demirberk Ünlü
Publication year - 2021
Publication title -
communications faculty of science university of ankara series a1mathematics and statistics
Language(s) - English
Resource type - Journals
ISSN - 1303-5991
DOI - 10.31801/cfsuasmas.899206
Subject(s) - support vector machine , computer science , bayesian optimization , machine learning , artificial intelligence , kernel (algebra) , credit card , bayesian probability , sigmoid function , relevance vector machine , precision and recall , data mining , hyperparameter optimization , pattern recognition (psychology) , artificial neural network , mathematics , combinatorics , world wide web , payment

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom