Binary Logistic Regression: Binary logistic regression is employed when the dependent variable has only two outcomes—in this case, the dependent variable is referred to as a dichotomous variable.

James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification ... When using logistic regression, you must encode the target ...

The term (y - p) is the difference between a target ... logistic regression. But in my opinion, using an alternative classification technique, a neural network classifier, is a better option. Logistic ...