An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models

Johan Huysmans; Karel Dejaeger; Christophe Mues; Jan Vanthienen; Bart Baesens

doi:10.1016/j.dss.2010.12.003

Keywords

InterpretabilityComputer scienceDecision treeMachine learningBinary decision diagramArtificial intelligenceData miningSet (abstract data type)Empirical researchRepresentation (politics)Decision tableTheoretical computer scienceMathematicsRough setStatistics

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Publication Info

Year: 2010
Type: article
Volume: 51
Issue: 1
Pages: 141-154
Citations: 406
Access: Closed

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APA Style

                            
                                
                                    Johan Huysmans, 
                                
                                    Karel Dejaeger, 
                                
                                    Christophe Mues
                                
                                et al.
                            
                            (2010). 
                            An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models. 
                            Decision Support Systems
                            , 51
                            (1)
                            , 141-154.
                            https://doi.org/10.1016/j.dss.2010.12.003
                        

Identifiers

DOI: 10.1016/j.dss.2010.12.003