Characteristics of the logistic regression model

In this subsection, we will focus on the basic characteristics and assumptions of logistic regression. Let's understand the following characteristics:

• The dependent or target variable should be binary in nature.
• There should be no multicollinearity among independent variables.
• Coefficients are estimated using maximum likelihood.
• Logistic regression follows Bernoulli distribution.
• There is no R-squared for model evaluation. The model was evaluated using concordance, KS statistics.