Hybrid Performance Measures and Mixed Evaluation Method for Data Classification Problems

Mohammad, Bin Hossin (2012) Hybrid Performance Measures and Mixed Evaluation Method for Data Classification Problems. ["eprint_fieldopt_thesis_type_phd" not defined] thesis, unspecified.

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Abstract

This study investigates two different issues of performance measure in data classification problem. First, this study examines the use of accuracy measure as a discriminator for building an optimized Prototype Selection (PS) algorithm. Second, this study evaluates the current evaluation practices for evaluating and comparing the two performance measures.

Item Type: Thesis (["eprint_fieldopt_thesis_type_phd" not defined])
Additional Information: Universiti Malaysia Sarawak, UNIMAS
Uncontrolled Keywords: Unimas, univeristy, universiti, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, undergraduate, postgraduate, research
Subjects: A General Works > AC Collections. Series. Collected works
A General Works > AC Collections. Series. Collected works
Divisions: Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development
Depositing User: Karen Kornalius
Date Deposited: 04 Jul 2014 03:24
Last Modified: 17 Sep 2015 03:12
URI: http://ir.unimas.my/id/eprint/3695

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