Timeline for Why should MLE be considered in Logistic Regression when it cannot give a definite solution?
Current License: CC BY-SA 4.0
3 events
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| Jul 6, 2022 at 3:13 | comment | added | Cryo | @Dave, your comment is correct, but I am not sure why it is relevant. Yes, minimizing cross-entropy can be equivalent to likelihood maximization. At least sometimes, where you are Bernoulli sampling. Does it change my comment in any way? | |
| Jul 5, 2022 at 18:46 | comment | added | Dave | Minimizing crossentropy loss is equivalent to maximum likelihood estimation in logistic regression. | |
| May 5, 2022 at 7:00 | history | answered | Cryo | CC BY-SA 4.0 |