Open AccessCustomer Churn Prediction in Telecom Industry Using Regression Algorithms
Author(s) -
P. Geetha Priyanka,
Mr. Sk. Althaf Rahaman
Publication year - 2022
Publication title -
international journal of innovative research in computer science and technology
Language(s) - English
Resource type - Journals
ISSN - 2347-5552
DOI - 10.55524/ijircst.2022.10.3.10
Subject(s) - random forest , decision tree , computer science , machine learning , customer retention , worry , classifier (uml) , artificial intelligence , variety (cybernetics) , customer satisfaction , algorithm , logistic regression , customer intelligence , statistical classification , voice of the customer , business intelligence , data mining , data science , marketing , business , service quality , psychology , anxiety , psychiatry , service (business)