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CMPB
2002
79views more  CMPB 2002»
13 years 6 months ago
Relationship between Brier score and area under the binormal ROC curve
Mitsuru Ikeda, Takeo Ishigaki, Kazunobu Yamauchi
ICPR
2002
IEEE
14 years 8 months ago
Relationship between Identification Metrics: Expected Confusion and Area Under a ROC Curve
The mathematical relationship between the expectedconfusion metric and the area under a receiver operating characteristic (ROC) curve is derived. Given a limited database of subje...
Amos Y. Johnson, Aaron F. Bobick
ICML
2006
IEEE
14 years 7 months ago
The relationship between Precision-Recall and ROC curves
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...
Jesse Davis, Mark Goadrich
BMCBI
2010
126views more  BMCBI 2010»
13 years 7 months ago
A boosting method for maximizing the partial area under the ROC curve
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
Osamu Komori, Shinto Eguchi
22
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SDM
2012
SIAM
234views Data Mining» more  SDM 2012»
11 years 9 months ago
On Evaluation of Outlier Rankings and Outlier Scores
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
Erich Schubert, Remigius Wojdanowski, Arthur Zimek...