What is Logistic Regression? Logistic regression is Regression as well as Classification machine learning algorithm that comes under Supervised Learning techniques. Logistic regression is used to predict the categorical dependent variable with the help of independent variables. Logistic regression converts its output using the logistic sigmoid function to return a probability value which can then be mapped to two or more discrete classes. Comparison to linear regression Logistic Regression Linear Regression Solves the classification problems Solves the regression problems mostly Predict the categorical dependent variables using set of independent variables Predict the continuous dependent variables using set of independent variables To estimate the accuracy, Maximum likelihood estimation method is used To estimate the accuracy, Least square estimation method is used We get Ca...