Naive Bayes Classification Error
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Bayes Error Rate Example
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Bayes Error Rate Explained
The best answers are voted up and rise to the top Calculating the error of Bayes classifier analytically up vote 5 down vote favorite 3 If two classes $w_1$ and $w_2$ have normal distribution with known parameters ($M_1$, $M_2$ as their means and $\Sigma_1$,$\Sigma_2$ are their covariances) how we can calculate error of the Bayes classifier for them theorically? Also suppose the variables are in N-dimensional space. Note: A copy
Error Rate Definition
of this question is also available at http://math.stackexchange.com/q/11891/4051 that is still unanswered. If any of these question get answered, the other one will be deleted. probability self-study normality naive-bayes bayes-optimal-classifier share|improve this question edited May 25 at 5:26 Tim 23.5k454102 asked Nov 26 '10 at 19:36 Isaac 490615 1 Is this question the same as stats.stackexchange.com/q/4942/919 ? –whuber♦ Nov 26 '10 at 20:40 @whuber Your answer suggests it is the case indeed. –chl♦ Nov 26 '10 at 20:47 @whuber: Yes. i don't know this question suited to which one. I am waiting for a response for one to remove the other one. Is it against the rules? –Isaac Nov 26 '10 at 20:49 It might be easier, and surely would be cleaner, to edit the original question. However, sometimes a question is restarted as a new one when the earlier version collects too many comments that are made irrelevant by the edits, so it's a judgment call. In any event it's helpful to place cross-references between closely related questions to help people connect them easily. –whuber♦ Nov 26 '10 at 20:52 add a comment| 3 Answers 3 active oldest votes up vote 14 down vote accepted There's no closed f
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Naive Bayes Classifier Error Rate
Statistics and Machine Learning Toolbox Examples Functions and Other Reference Release Notes PDF estimating the bayes error rate through classifier combining Documentation Classification Naive Bayes Statistics and Machine Learning Toolbox Functions loss On this page Syntax Description Input Arguments Mdl tbl ResponseVarName X Y http://stats.stackexchange.com/questions/4949/calculating-the-error-of-bayes-classifier-analytically Name-Value Pair Arguments 'LossFun' 'Weights' Output Arguments L Definitions Classification Loss Misclassification Cost Posterior Probability Prior Probability Examples Determine Test Sample Minimum Cost Loss of Naive Bayes Classifiers Determine the Test Sample Classification Error of Naive Bayes Classifiers References See Also More About This is machine https://www.mathworks.com/help/stats/compactclassificationnaivebayes.loss.html translation Translated by Mouse over text to see original. Click the button below to return to the English verison of the page. Back to English × Translate This Page Select Language Bulgarian Catalan Chinese Simplified Chinese Traditional Czech Danish Dutch English Estonian Finnish French German Greek Haitian Creole Hindi Hmong Daw Hungarian Indonesian Italian Japanese Korean Latvian Lithuanian Malay Maltese Norwegian Polish Portuguese Romanian Russian Slovak Slovenian Spanish Swedish Thai Turkish Ukrainian Vietnamese Welsh MathWorks Machine Translation The automated translation of this page is provided by a general purpose third party translator tool. MathWorks does not warrant, and disclaims all liability for, the accuracy, suitability, or fitness for purpose of the translation. Translate lossClass: CompactClassificationNaiveBayesClassification error for naive Bayes classifierexpand all in page SyntaxL = loss(Mdl,tbl,ResponseVarName)L = loss(Mdl,tbl,Y)L = loss(Mdl,X,Y) exampleL = loss(___,Name,Value) exampleDescrip
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