VRSTA GRADIVA | analitična raven (sestavni del), tekstovno gradivo, tiskano, 1.02 - pregledni znanstveni članek |
DRŽAVA IZIDA | Slovenija |
LETO IZIDA | 2006 |
JEZIK BESEDILA/IZVIRNIKA | angleški |
PISAVA | latinica |
AVTOR | Vuk, Miha - avtor |
ODGOVORNOST | Curk, Tomaž - avtor |
NASLOV | ROC curve, lift chart and calibration plot |
V PUBLIKACIJI | Metodološki zvezki. - ISSN 1854-0023. - ǂVol. ǂ3, ǂno. ǂ1 (2006), str. [89]-108. |
KRATKA VSEBINA | This paper presents ROC curve, lift chart and calibration plot, three well known graphical techniques that are useful forevaluating the quality of classification models used in data mining and machine learning. Each technique, normally used and studied separately, defines its own measure of classification quality and its visualization. Here, we give a brief survey of the methods and establish a common mathematical framework which adds some new aspects, explanations and interrelations between these techniques. We conclude with an empirical evaluation and a few examples on how to use the presented techniques to boost classification accuracy. |
OPOMBE | Bibliografija: str. 107-108 // Abstract |
PREDMETNE OZNAKE | // krivulja ROC // krivulja odziva // umeritvena krivulja // strojno učenje |
UDK | 004.8 |