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Description
  • ROC curves are widely used as a tool to evaluate classification models. This paper describes the use of the macro language STATISTICA Visual Basic to construct receiver operating characteristics curves (ROC) for the CART algorithm implemented in the data mining system STATISTICA Data Miner. STATISTICA has an option of ROC curves only for neural networks, therefore the macro presented here is useful for evaluation and comparison the classification models that are built with the CART algorithm. The possibilities of this macro are presented on one data set.
  • ROC curves are widely used as a tool to evaluate classification models. This paper describes the use of the macro language STATISTICA Visual Basic to construct receiver operating characteristics curves (ROC) for the CART algorithm implemented in the data mining system STATISTICA Data Miner. STATISTICA has an option of ROC curves only for neural networks, therefore the macro presented here is useful for evaluation and comparison the classification models that are built with the CART algorithm. The possibilities of this macro are presented on one data set. (en)
  • ROC křivky jsou široce využívány k hodnocení klasifikačních modelů. Tento příspěvek popisuje vytvoření makra pomocí STATISTICA Visual Basic pro sestavování ROC křivek pro algoritmus CART, který je implementován v software STATISTICA Data Miner. ROC křivky jsou ve STATISTICA sestavovány pouze pro neuronové sítě, proto představované makro je užitečné při porovnávání klasifikačních modelů, které byly sestaveny algoritmem CART. Použití makra je demonstrováno na ukázkovém příkladu. (cs)
Title
  • ROC Curves for the CART Algorithm in STATISTICA Data Miner
  • ROC křivky pro algorimus CART ve STATISTICA Data Miner (cs)
  • ROC Curves for the CART Algorithm in STATISTICA Data Miner (en)
skos:prefLabel
  • ROC Curves for the CART Algorithm in STATISTICA Data Miner
  • ROC křivky pro algorimus CART ve STATISTICA Data Miner (cs)
  • ROC Curves for the CART Algorithm in STATISTICA Data Miner (en)
skos:notation
  • RIV/62690094:18450/07:00001867!RIV07-GA0-18450___
http://linked.open.../vavai/riv/strany
  • 285-289
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA402/04/1308)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 448094
http://linked.open...ai/riv/idVysledku
  • RIV/62690094:18450/07:00001867
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • ROC curves; classification models; data mining; CART (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [50AE9E8A217B]
http://linked.open...i/riv/mistoVydani
  • Amsterdam
http://linked.open...i/riv/nazevZdroje
  • Frontiers in Artificial Intelligence and Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Jakoubek, Bohumil
number of pages
http://purl.org/ne...btex#hasPublisher
  • IOS Press Amsterdam
https://schema.org/isbn
  • 978-1-58603-710-9
http://localhost/t...ganizacniJednotka
  • 18450
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