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» Improving the Practice of Classifier Performance Assessment
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NECO
2000
59views more  NECO 2000»
13 years 5 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 5 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 6 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»
13 years 3 days 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 5 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