AI Notes | Logit Model

Print Friendly, PDF & Email

. . . and this will work by definition for a regression problem but not for a classification problem. To achieve the aim of the latter, we will need a different function where we could get something like the probability of a class membership. i.e. 𝑓 ℝ → [01]. If the probability is greater than 0.5, we predict a class, if it is less than 0.5, we predict another class. This is what a logit model (logistic regression) gives us.

ShareShare on Facebook0Share on Google+0Tweet about this on TwitterShare on LinkedIn0

Leave a Reply

Your email address will not be published. Required fields are marked *