If you have a variable which perfectly separates zeroes and ones in target variable, R will yield the following "perfect or quasi perfect separation" warning message:

Warning message:
glm.fit: fitted probabilities numerically 0 or 1 occurred 

We still get the model but the coefficient estimates are inflated.

How do you deal with this in practice?