Timeline for Why is Bayes Classifier the ideal classifier?
Current License: CC BY-SA 4.0
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| when toggle format | what | by | license | comment | |
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| Oct 27, 2023 at 4:34 | vote | accept | DoOrDoNot | ||
| Oct 10, 2018 at 8:45 | history | edited | Antoine | CC BY-SA 4.0 |
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| Jan 27, 2017 at 19:05 | history | edited | Antoine | CC BY-SA 3.0 |
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| May 25, 2016 at 8:28 | comment | added | Antoine | @RuiQi $P(v\mid \hat{f})$ is the probability that a sample to be classified will fall into class $v$ if we use predictive model $\hat{f}$. I guess, you can call it prior probability. | |
| May 25, 2016 at 8:27 | comment | added | Antoine | @RuiQi I don't think that there is such thing as the Bayes classifier. I am aware of the naive Bayes classifier and the optimal Bayes classifier. | |
| May 25, 2016 at 1:18 | comment | added | RuiQi | Is the Bayes classifier (not naive bayes) the same as the bayes optimal classifier ???? and is $ P(v|f) $ the prior probability ? | |
| May 13, 2016 at 13:27 | history | edited | Antoine | CC BY-SA 3.0 |
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| May 13, 2016 at 10:47 | history | answered | Antoine | CC BY-SA 3.0 |