106 search results - page 5 / 22 » Boosting the Area under the ROC Curve |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
JMLR
2006
14 years 9 months ago
2006
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
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SIGKDD
2008
14 years 9 months ago
2008
This paper presents our solution for KDD Cup 2008 competition that aims at optimizing the area under ROC for breast cancer detection. We exploited weighted-based classification me...
AUSAI
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. A learning curve of a performance measure provides a graphical method with many benefits for judging classifier properties. The area under the ROC curve (AUC) is a useful...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper proposes a novel method of fusing models for classification of unbalanced data. The unbalanced data contains a majority of healthy (negative) instances, and a minor...