EXAMINING REPLICABILITY OF MACHINE LEARNING METHODS FOR VARIABLE IMPORTANCE AND PERFORMANCE MEASURES

Ph.D

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Bibliographic Details
Main Author:	RANJITH VIJAYAKUMAR
Other Authors:	PSYCHOLOGY
Format:	Theses and Dissertations
Language:	English
Published:	2020
Subjects:	machine learning, replicability, variable selection, predictive accuracy, data mining, model comparison
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/163550
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-163550
record_format	dspace
spelling	sg-nus-scholar.10635-1635502020-01-07T13:15:51Z EXAMINING REPLICABILITY OF MACHINE LEARNING METHODS FOR VARIABLE IMPORTANCE AND PERFORMANCE MEASURES RANJITH VIJAYAKUMAR PSYCHOLOGY Cheung Wai Leung, Mike machine learning, replicability, variable selection, predictive accuracy, data mining, model comparison Ph.D DOCTOR OF PHILOSOPHY (FASS) 2020-01-06T18:02:45Z 2020-01-06T18:02:45Z 2019-08-05 Thesis RANJITH VIJAYAKUMAR (2019-08-05). EXAMINING REPLICABILITY OF MACHINE LEARNING METHODS FOR VARIABLE IMPORTANCE AND PERFORMANCE MEASURES. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/163550 en
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
language	English
topic	machine learning, replicability, variable selection, predictive accuracy, data mining, model comparison
spellingShingle	machine learning, replicability, variable selection, predictive accuracy, data mining, model comparison RANJITH VIJAYAKUMAR EXAMINING REPLICABILITY OF MACHINE LEARNING METHODS FOR VARIABLE IMPORTANCE AND PERFORMANCE MEASURES
description	Ph.D
author2	PSYCHOLOGY
author_facet	PSYCHOLOGY RANJITH VIJAYAKUMAR
format	Theses and Dissertations
author	RANJITH VIJAYAKUMAR
author_sort	RANJITH VIJAYAKUMAR
title	EXAMINING REPLICABILITY OF MACHINE LEARNING METHODS FOR VARIABLE IMPORTANCE AND PERFORMANCE MEASURES
title_short	EXAMINING REPLICABILITY OF MACHINE LEARNING METHODS FOR VARIABLE IMPORTANCE AND PERFORMANCE MEASURES
title_full	EXAMINING REPLICABILITY OF MACHINE LEARNING METHODS FOR VARIABLE IMPORTANCE AND PERFORMANCE MEASURES
title_fullStr	EXAMINING REPLICABILITY OF MACHINE LEARNING METHODS FOR VARIABLE IMPORTANCE AND PERFORMANCE MEASURES
title_full_unstemmed	EXAMINING REPLICABILITY OF MACHINE LEARNING METHODS FOR VARIABLE IMPORTANCE AND PERFORMANCE MEASURES
title_sort	examining replicability of machine learning methods for variable importance and performance measures
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/163550
_version_	1681100502739189760

EXAMINING REPLICABILITY OF MACHINE LEARNING METHODS FOR VARIABLE IMPORTANCE AND PERFORMANCE MEASURES

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