Understanding Logistic Regression , Logistic Function, the Calculation of Coefficients
Logistic regression is a statistical method used in machine learning and data analysis to model the relationship between a dependent variable and independent variables. It is used for binary classification problems where the outcome is either a positive or negative event. The term "logistic" refers to the use of the logistic function, which maps a continuous linear input to a binary output. What is Logistic Regression Used For? Logistic regression is commonly used in a variety of fields, including healthcare, finance, marketing, and social sciences. For example, it can be used in healthcare to predict the probability of a patient developing a particular disease based on their medical history, lifestyle, and other factors. In finance, logistic regression can be used to predict the likelihood of default on a loan based on the borrower's credit score and other financial data. How Does Logistic Regression Work? At its core, logistic regression models the relations...