ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ ASSESSMENT

Main Article Content

Ryszard Szupiluk
Krzysztof Gajowniczek
Tomasz Ząbkowski


Abstrakt
Article presents a ROC (receiver operating characteristic) curve and its application for classification models’ assessment. ROC curve, along with area under the receiver operating characteristic (AUC) is frequently used as a measure for the diagnostics in many industries including medicine, marketing, finance and technology. In this article, we discuss and compare estimation procedures, both parametric and non-parametric, since these are constantly being developed, adjusted and extended.

Article Details

Jak cytować
Szupiluk, R., Gajowniczek, K., & Ząbkowski, T. (2014). ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ ASSESSMENT. Metody Ilościowe W Badaniach Ekonomicznych, 15(2), 382–391. Pobrano z https://qme.sggw.edu.pl/article/view/3700
Statystyki

Downloads

Download data is not yet available.
Rekomendowane teksty
Inne teksty tego samego autora
1 2 > >>