
Identifying Optimal Parameters And Their Impact For Predicting Credit Card Defaulters Using Machine-Learning Algorithms
Author(s) -
Muhammad Qasim Idrees,
Humaira Naeem,
Muhammad Ali Imran,
Asma Batool,
Nadia Tabassum
Publication year - 2022
Publication title -
lahore garrison university research journal of computer science and information technology
Language(s) - English
Resource type - Journals
eISSN - 2521-0122
pISSN - 2519-7991
DOI - 10.54692/lgurjcsit.2022.0601260
Subject(s) - machine learning , computer science , feature selection , artificial intelligence , classifier (uml) , credit card , multilayer perceptron , data mining , random subspace method , artificial neural network , world wide web , payment