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Description
  • klasifikace, míry prediktivní přesnosti, ROC křivka, křivka nákladů (cs)
  • This article summarises and describes different measures of the predictive quality(performance) of classification models. Quantitative measures of quality can becomplemented with the visual representation. One of the best known is the ROC(Receiver Operating Characteristic) curve that represents the performance of binaryclassification model within the full range of conditions (costs and class distributions) ofdiscrimination. The duality between ROC and expected costs of a classifier (cost curve) isdescribed in more details here. Cost curve measures the difference in performance of twoclassifiers directly in expected costs (EC). The use of ROC and EC is highly importantwhen asymmetric misclassification costs, imbalanced probabilities of classes or changingconditions occur. A hybrid classifier can be found on the convex hull (ROCCH) of theROC curves of different classifiers. This is potentially the best classification model forany mixture of outside constraints. Lower envelope of cost curves of different
  • This article summarises and describes different measures of the predictive quality(performance) of classification models. Quantitative measures of quality can becomplemented with the visual representation. One of the best known is the ROC(Receiver Operating Characteristic) curve that represents the performance of binaryclassification model within the full range of conditions (costs and class distributions) ofdiscrimination. The duality between ROC and expected costs of a classifier (cost curve) isdescribed in more details here. Cost curve measures the difference in performance of twoclassifiers directly in expected costs (EC). The use of ROC and EC is highly importantwhen asymmetric misclassification costs, imbalanced probabilities of classes or changingconditions occur. A hybrid classifier can be found on the convex hull (ROCCH) of theROC curves of different classifiers. This is potentially the best classification model forany mixture of outside constraints. Lower envelope of cost curves of different (en)
Title
  • Comparison the Quality of Classification Algorithms
  • Porovnání vlastností klasifikačních algoritmů (cs)
  • Comparison the Quality of Classification Algorithms (en)
skos:prefLabel
  • Comparison the Quality of Classification Algorithms
  • Porovnání vlastností klasifikačních algoritmů (cs)
  • Comparison the Quality of Classification Algorithms (en)
skos:notation
  • RIV/62690094:18450/05:00001786!RIV06-GA0-18450___
http://linked.open.../vavai/riv/strany
  • 344-349
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
  • 515961
http://linked.open...ai/riv/idVysledku
  • RIV/62690094:18450/05:00001786
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • classification; predictive accuracy measures; ROC curve; cost curve (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E71679C6BA70]
http://linked.open...i/riv/mistoVydani
  • Hradec Králové
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 23rd International Conference Mathematical Methods in Economics 2005
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
  • Skalská, Hana
number of pages
http://purl.org/ne...btex#hasPublisher
  • Gaudeamus Universita
https://schema.org/isbn
  • 80-7041-535-5
http://localhost/t...ganizacniJednotka
  • 18450
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