The Application of the ROC Curve to Classification and Regression Trees

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Application of the ROC Curve to Classification and Regression Trees

Popis výsledku v původním jazyce

The classification and regression trees (CART) methodology plays an important role in many branches, especially when it is necessary to differentiate between two or more populations. The splitting rule in the CART is considered to be the decisive factorof the algorithm. The conventional method of the splitting has been proposed by Breiman et al. (1984). The contribution is focused on the implementation of the receiver operating characteristic curves (ROC) to the classification and regression tree analysis as the alternative splitting of nonterminal nodes. First, a brief introduction of the CART methodology and ROC curves theory (including basic properties and different techniques of estimation) is mentioned. Finally, two possibilities how to incorporate ROC curves into the CART construction are suggested.

Název v anglickém jazyce

The Application of the ROC Curve to Classification and Regression Trees

Popis výsledku anglicky

The classification and regression trees (CART) methodology plays an important role in many branches, especially when it is necessary to differentiate between two or more populations. The splitting rule in the CART is considered to be the decisive factorof the algorithm. The conventional method of the splitting has been proposed by Breiman et al. (1984). The contribution is focused on the implementation of the receiver operating characteristic curves (ROC) to the classification and regression tree analysis as the alternative splitting of nonterminal nodes. First, a brief introduction of the CART methodology and ROC curves theory (including basic properties and different techniques of estimation) is mentioned. Finally, two possibilities how to incorporate ROC curves into the CART construction are suggested.

Druh

O - Ostatní výsledky

CEP obor

KA - Vojenství

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů