I'm a beginner, and I'm wondering whether a logistic regression in a nut-shell is just normalizing a linear regression? Correct me if I'm wrong, but I came to this conclusion because the predicted value of logistic regression is simply just the linear regression's prediction put into a sigmoid to get 0 and 1. So, logistic regression = normalized linear regression?
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- 2$\begingroup$ Hi, do you mean normalized like in transformed? (I mean, normalization returns values in the whole real number spectrum) $\endgroup$Mauro Crosignani– Mauro Crosignani2023-10-27 17:50:43 +00:00Commented Oct 27, 2023 at 17:50
- $\begingroup$ i meant normalization where u scale the numbers to between 0 and 1 $\endgroup$Justin Jonany– Justin Jonany2023-10-28 02:19:41 +00:00Commented Oct 28, 2023 at 2:19
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Yes, you are right. Both are unified under the term Generalized Linear Model.
