The impact of measurement scale on classification performance of inductive learning and statistical approaches

This thesis is a comparative study of inductive learning and statistical methods. The focus of this study is to investigate the impact of measurement scale of explanatory variables on the relative performance of the statistical method (probit) and the inductive learning method (ID3). In addition, the impact of correlation structure on the classification behavior of the probit method and the ID3 method is examined.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Accountancy

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Han, Ingoo

Contributors dc:contributor

• Chandler, John S.

• Business Administration, Accounting
• Artificial Intelligence

Statement dc:rights

• Copyright 1990 Han, Ingoo

Language dc:language

eng

Identifier

AAI9114256
(UMI)AAI9114256

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/22935