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rdf:type
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Description
| - The specific group of models are binary regression classifiers, e.g. the logit model. These models are built based on the quantitative loss functions like maximum likelihood estimation but their performance is obviously expressed by qualitative measure like accuracy or area under the receiver operating characteristic. In this paper we demonstrate the informational difference between quantitative a qualitative measures and suggest an alternative approach to setup of linear models based on the qualitative measure and genetic algorithms. We achieved statistically significant improvement of linear model setup by use of genetic algorithm, which overperforms equivalent logit model.
- The specific group of models are binary regression classifiers, e.g. the logit model. These models are built based on the quantitative loss functions like maximum likelihood estimation but their performance is obviously expressed by qualitative measure like accuracy or area under the receiver operating characteristic. In this paper we demonstrate the informational difference between quantitative a qualitative measures and suggest an alternative approach to setup of linear models based on the qualitative measure and genetic algorithms. We achieved statistically significant improvement of linear model setup by use of genetic algorithm, which overperforms equivalent logit model. (en)
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Title
| - OPTIMIZATION CHALLENGE: AREA UNDER RECEIVER OPERATING CHARACTERISTIC AS A LOSS FUNCTION IN GENERALIZED LINEAR MODELS
- OPTIMIZATION CHALLENGE: AREA UNDER RECEIVER OPERATING CHARACTERISTIC AS A LOSS FUNCTION IN GENERALIZED LINEAR MODELS (en)
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skos:prefLabel
| - OPTIMIZATION CHALLENGE: AREA UNDER RECEIVER OPERATING CHARACTERISTIC AS A LOSS FUNCTION IN GENERALIZED LINEAR MODELS
- OPTIMIZATION CHALLENGE: AREA UNDER RECEIVER OPERATING CHARACTERISTIC AS A LOSS FUNCTION IN GENERALIZED LINEAR MODELS (en)
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skos:notation
| - RIV/00216305:26220/10:PU88680!RIV11-GA0-26220___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(GA102/09/1897), Z(MSM0021630529)
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26220/10:PU88680
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - logit, linear model, regression classifier, genetic algorithm, area under receiver operating characteristic (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
| - Brno University of Technology
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Kučera, Pavel
- Honzík, Petr
- Hynčica, Ondřej
- Jirsík, Václav
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http://linked.open...vavai/riv/typAkce
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http://linked.open...ain/vavai/riv/wos
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - Vysoké učení technické v Brně
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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