Timeline for Does Naive Bayes assume normality?
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 1, 2021 at 7:53 | comment | added | MUK | It perform well in case of categorical input variables compared to numerical variable(s). For numerical variable, normal distribution is assumed (bell curve, which is a strong assumption). | |
| May 31, 2016 at 23:42 | comment | added | R Greg Stacey | Thanks. Didn't mean to nit pick. Just wondered if I understood correctly. | |
| May 31, 2016 at 23:09 | vote | accept | R Greg Stacey | ||
| May 31, 2016 at 23:09 | comment | added | Matthew Gunn | @Qroid Without reading anything (so I could be wrong), my guess is that they mean Gaussian Naive Bayes. Often times you need to read text reasonably rather than explicitly. | |
| May 31, 2016 at 23:06 | comment | added | R Greg Stacey | Is the paper badly worded / incorrect then? Do they just mean "Naive Bayes often assumes normality?" | |
| May 31, 2016 at 23:00 | history | answered | Matthew Gunn | CC BY-SA 3.0 |