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» Improving the Practice of Classifier Performance Assessment
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NECO
2000
59views more  NECO 2000»
13 years 4 months ago
Improving the Practice of Classifier Performance Assessment
Niall M. Adams, David J. Hand
ML
2006
ACM
109views Machine Learning» more  ML 2006»
13 years 4 months ago
Cost curves: An improved method for visualizing classifier performance
Abstract This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possib...
Chris Drummond, Robert C. Holte
ICML
2007
IEEE
14 years 5 months ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
JCIT
2010
148views more  JCIT 2010»
12 years 11 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
PRL
2006
98views more  PRL 2006»
13 years 4 months ago
Data complexity assessment in undersampled classification of high-dimensional biomedical data
Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
Richard Baumgartner, Ray L. Somorjai