Logistic Regression

The outcome of a Linear Regression can take any form, discrete or continuous, and it may not be limited, within a boundary, in range 0 to 1. Linear Regression can give values large than 1 or less than 0 which is not desirable for classification problem. Logistic Regression, on the other hand, as we have seen above squeezes the output between 0 and 1 which is more desirable for classification problem. Linear Regression is based on linear algebra where as Logistic Regression uses probability.