We have two tags that seem closely related:
hauck-donner-effect (69 threads) Excerpt:
Also called "perfect separation". In logistic regression, if all 1 & 0 outcomes lie on different sides of some value for a variable, the coefficient estimate for that variable will tend towards infinity.
separability (37 threads) Excerpt:
separability is when two classes in the data can be completely separated, i.e. by some (hyper)plane, such that for instance a logistic regression, svm or discriminant analysis can give perfect predictions on the training data. See the wikipedia article on Separation (statistics)
There are 12 threads that have both tags.
I'm wondering if the distinction between them, and when one or the other should be used, can be made clearer. Alternatively, should one be made a synonym of the other? (Which?)