Details

Autor(en) / Beteiligte

• WEBB, Geoffrey I
• KAI MING TING

Titel

On the application of ROC analysis to predict classification performance under varying class distributions

Ist Teil von

• Machine learning, 2005, Vol.58 (1), p.25-32

Ort / Verlag

Dordrecht: Springer

Erscheinungsjahr

2005

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• We counsel caution in the application of ROC analysis for prediction of classifier performance under varying class distributions. We argue that it is not reasonable to expect ROC analysis to provide accurate prediction of model performance under varying distributions if the classes contain causally relevant subclasses whose frequencies may vary at different rates or if there are attributes upon which the classes are causally dependent.[PUBLICATION ABSTRACT]