Abstract
The probability estimates of a naive Bayes classifier are inaccurate if some of its underlying independence assumptions are violated. The decision criterion for using these estimates for classification therefore has to be learned from the data. This
Keywords
Naive Bayes classifierComputer scienceArtificial intelligenceProbabilistic classificationProbabilistic logicClassifier (UML)Machine learningPattern recognition (psychology)Class (philosophy)AlgorithmSupport vector machine
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Publication Info
- Year
- 2003
- Type
- article
- Citations
- 48
- Access
- Closed
External Links
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Cite This
Nicolas Lachiche,
Peter Flach
(2003).
Improving accuracy and cost of two-class and multi-class probabilistic classifiers using ROC curves.
.