Feature Selection in Credit Scoring Model for Credit Card Applicants in XYZ Bank: A Comparative Study

Abstract

Abstract

Classification methods applied to credit scoring: Systematic review and overall comparison

“…a a a bcde Hu and Ansell (2009) Thomas (2010) c Zhou et al (2010) Gzyl et al (2015) c l b jb Bahnsen et al (2015) c Koutanaei et al (2015) a Lessmann et al (2015) e b Aryuni and Madyatmadja (2015) Deng et al (2015) a l a c b b 1 b a b a ba Tomczak and Zie¸ba (2015) a Sadatrasou et al (2015) a Bravo and Maldonado (2015) c e b e Liu et al (2015) a l b b a 1 a b Wu et al (2014) Verbraken et al (2014) f b b ea Ravi and Krishna (2014)…”

The Implementation of Classification Algorithm C4.5 in Determining the Illness Risk Level for Health Insurance Company in Indonesia

“…Algorithms c4.5 much used and implemented in a, decision making an excess of the algorithm c4.5 is able to process numerical data and discreet, can handle the value of attributes that empty, make the rules being easy to implementation and performance is one of the fastest compared to other algorithms [6], Can predict the class of objects of unknown [7]. The algorithm has several approaches, classification like based, decision trees induction, rule-based artificial neural network, genetic algorithms and the network Bayesian [8]. The algorithm c4.5 is most popular algorithms to classification in machine learning and data processing [9].…”