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Separation occurs when some classes of a categorical outcome can be perfectly distinguished by a linear combination of other variables.
0
votes
Why is it desirable to have linear separability in SVM?
Not directly answer your question but,
It is important to keep in mind the difference between basis expansion and Kernel method / SVM.
We can "expand data" using basis expansion in different ways. …
4
votes
How does perfect separation in logistic regression affect the AUC?
@gung had a great answer. I just want to add more explanations on why "no matter what threshold you use, you will have perfect accuracy"
If we add one more line to @gung's code to check the predicted …
3
votes
When does logistic regression not work properly?
@gung had a good answer. Logistic regression is a linear model, so it may not work well on non-linear cases. But as I mentioned in the comment, it might be some ways to transform data into another spa …
46
votes
Accepted
Is there any intuitive explanation of why logistic regression will not work for perfect sepa...
A 2D demo with toy data will be used to explain what was happening for perfect separation on logistic regression with and without regularization. … No matter how much separation the data has. …