Predictive modeling and measures of performance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F11%3A10071467" target="_blank" >RIV/62690094:18450/11:10071467 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Predictive modeling and measures of performance
Original language description
This article deals with binary discrimination when outcome variable Y can take only two values. Brief overview of classification methods is done and then attention is focused on some problems associated with learning empirical classification model. The article surveys some problems of predictive classification modeling in real applications (overfitting, detection of changes in population, assessment of performance, feature selection with multiple comparison, problem of covariate and confounding variables). The influence of covariate variable and confounder variable on the quality of discrimination model is presented with an example based on real data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mathematical methods in economics 2011 : part I. : proceedings
ISBN
978-80-7431-058-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
617-622
Publisher name
Professional publishing
Place of publication
Praha
Event location
Janská Dolina, Slovakia
Event date
Sep 6, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000309074600102