Title :
Feature selection using ROC curves on classification problems
Author :
Serrano, Antonio J. ; Soria, Emilio ; Martin, Jose D. ; Magdalena, Rafael ; Gomez, Juan
Author_Institution :
Dept. of Eng. Electron., Univ. of Valencia, Burjassot, Spain
Abstract :
Feature Selection (FS) is one of the key stages in classification problems. This paper proposes the use of the area under Receiver Operator Characteristic curves to measure the individual importance of every input as well as a method to discover the variables that yield a statistically significant improvement in the discrimination power of the classification model.
Keywords :
feature extraction; pattern classification; classification problem; feature selection; receiver operating characteristic curves;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596692
