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» The relationship between Precision-Recall and ROC curves
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ICML
2006
IEEE
10 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
ICPR
2002
IEEE
10 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
CMPB
2002
79views more  CMPB 2002»
9 years 6 months ago
Relationship between Brier score and area under the binormal ROC curve
Mitsuru Ikeda, Takeo Ishigaki, Kazunobu Yamauchi
JMLR
2006
134views more  JMLR 2006»
9 years 7 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz
BMCBI
2007
101views more  BMCBI 2007»
9 years 7 months ago
Relationship between insertion/deletion (indel) frequency of proteins and essentiality
Background: In a previous study, we demonstrated that some essential proteins from pathogenic organisms contained sizable insertions/deletions (indels) when aligned to human prote...
Simon K. Chan, Michael Hsing, Fereydoun Hormozdiar...
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