Timeline for Is one-vs-all logit or multionomial logit regression more accurate?
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Apr 23, 2017 at 11:19 | comment | added | SmallChess | To me, they are not predicting the same thing. It's just Apple and Orange. | |
| Apr 22, 2017 at 14:49 | history | tweeted | twitter.com/StackStats/status/855795783341400064 | ||
| Apr 22, 2017 at 13:06 | comment | added | dart_kaide | Because we still want to predict the same thing: what option will be chosen. Therefore, you could compare, for example, how many right predictions were made on a new set of data using those two approaches. | |
| Apr 22, 2017 at 12:53 | comment | added | SmallChess | We know they are two different models, why should we compare the prediction power? | |
| Apr 22, 2017 at 12:49 | history | edited | kjetil b halvorsen♦ |
edited tags
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| Apr 22, 2017 at 11:48 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
clarified title; removed thanks
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| Apr 22, 2017 at 11:44 | review | First posts | |||
| Apr 22, 2017 at 11:48 | |||||
| Apr 22, 2017 at 11:39 | history | asked | dart_kaide | CC BY-SA 3.0 |