59 search results - page 4 / 12 » Learning Decision Trees Using the Area Under the ROC Curve |
DATAMINE
2008
13 years 8 months ago
2008
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However,...
CSL
2006
Springer
13 years 8 months ago
2006
Springer
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
CLEF
2011
Springer
12 years 8 months ago
2011
Springer
Wikipedia vandalism identification is a very complex issue, which is now mostly solved manually by volunteers. This paper presents the main components of a system built by our grou...
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...