About: Classifier performance assessment in social science

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About: Classifier performance assessment in social science - does the quality of data matter? Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In social science it is common to deal with data of variable quality, as a direct consequence of having human beings as the main source of information. Various measures of data quality have been developed in humanities e.g. validation scales or lie scores. In many real life cases, decisions need to be made or diagnoses assigned based on data of lower quality when data of higher quality are not available - any information on its quality is therefore valuable. Real life decision making problems in social science can be translated into the language of classification. In mathematical classifier design theory various measures of classifier performance have been designed. As far as we know, none of these reflects directly the quality (reliability) of the data. On the example of the receiver operating characteristics (ROC) and the area under the ROC curve (AUC) introduced in signal detection theory we show, how data quality can be incorporated into performance assessment of classifiers. We present a modification of the ROC approach reflecting data quality and discuss possible benefits of its use on artificial data. In social science it is common to deal with data of variable quality, as a direct consequence of having human beings as the main source of information. Various measures of data quality have been developed in humanities e.g. validation scales or lie scores. In many real life cases, decisions need to be made or diagnoses assigned based on data of lower quality when data of higher quality are not available - any information on its quality is therefore valuable. Real life decision making problems in social science can be translated into the language of classification. In mathematical classifier design theory various measures of classifier performance have been designed. As far as we know, none of these reflects directly the quality (reliability) of the data. On the example of the receiver operating characteristics (ROC) and the area under the ROC curve (AUC) introduced in signal detection theory we show, how data quality can be incorporated into performance assessment of classifiers. We present a modification of the ROC approach reflecting data quality and discuss possible benefits of its use on artificial data. (en)
Title	Classifier performance assessment in social science - does the quality of data matter? Classifier performance assessment in social science - does the quality of data matter? (en)
skos:prefLabel	Classifier performance assessment in social science - does the quality of data matter? Classifier performance assessment in social science - does the quality of data matter? (en)
skos:notation	RIV/61989592:15310/14:33151734!RIV15-GA0-15310___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA14-02424S)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Stoklasa, Jan Talašová, Jana
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Palackého v Olomouci / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	7465
http://linked.open...ai/riv/idVysledku	RIV/61989592:15310/14:33151734
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	classification, ROC, ROC curve, area under curve, AUC, quality. (en)
http://linked.open.../riv/klicoveSlovo	AUC ROC ROC curve quality. classification area under curve
http://linked.open...ontrolniKodProRIV	[C09EA558C9DB]
http://linked.open...v/mistoKonaniAkce	Olomouc
http://linked.open...i/riv/mistoVydani	Olomouc
http://linked.open...i/riv/nazevZdroje	Mathematical Methods in Economics MME 2014
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Metody operačního výzkumu pro podporu rozhodování v podmínkách neurčitosti
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Stoklasa, Jan Talašová, Jana Luukka, Pasi
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-09-10 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Univerzita Palackého v Olomouci
https://schema.org/isbn	978-80-244-4209-9
http://localhost/t...ganizacniJednotka	15310

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