Exploring the behaviour of base classifiers in credit scoring ensembles

Expert Systems with Applications

Volumn 39, Issue 11, 2012, Pages 10244-10250

  Marques A I ^a   Garcia V ^a   Sanchez J S ^a  

^a UNIVERSITAT JAUME I   (Spain)

Author keywords

Classifier ensemble; Credit scoring; Finance

Indexed keywords

ARTIFICIAL INTELLIGENCE METHODS; BASE CLASSIFIERS; CLASSIFIER ENSEMBLES; CREDIT RISK ASSESSMENT; CREDIT SCORING; ENSEMBLE METHODS; INDIVIDUAL PREDICTION; LOGISTIC REGRESSIONS; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; NAIVE BAYES CLASSIFIERS; NEAREST NEIGHBOUR; PREDICTION MODEL; STATISTICAL MODELS;

ARTIFICIAL INTELLIGENCE; FINANCE; LOGISTICS; MATHEMATICAL MODELS; RISK ASSESSMENT; STATISTICAL TESTS;

DECISION TREES;

EID: 84859423392     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.02.092     Document Type: Article

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