By estimating probabilities using a logistic regression equation, it is employed in statistical software to comprehend the relationship between the dependent variable and one or more independent variables. This form of analysis can assist you in predicting the chances of an occurrence or a decision occurring.
The key advantage of logistic regression over other machine learning and AI applications is that it is significantly easier to set up and train. When the different outcomes or distinctions represented by the data are linearly separable, it is also one of the most efficient methods.
Logistic Regression is a Machine Learning algorithm that is used to solve classification problems. It is a predictive analytic approach that is based on the probability notion.