Optimal Bayes Error Rate
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Bayes Error Example
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Bayes Error Rate Explained
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Naive Bayes Classifier Error Rate
works: Anybody can ask a question Anybody can answer 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 error rate definition for them theorically? Also suppose the variables are in N-dimensional space. Note: A copy 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 conn
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