What is logistic regression?

Logistic regression is a type of statistical analysis used to predict the outcome of a binary variable (such as “yes/no” or “0/1” outcomes) based on one or more predictor variables. This method applies the logistic function to estimate the probability of the binary response, with the possibility of being adapted for more complex situations. This technique is particularly useful for cases where the relationship between the independent variables and the dependent variable is not linear, which is often the case in classification problems. In this model, the logit of the probability is modeled as a linear combination of the independent variables. Logistic regression is employed to estimate the likelihood of different outcomes or categories, such as success/failure, victory/defeat, or life/death scenarios. It can also be adapted to classify multiple categories; for instance, identifying whether a photograph features a cat, dog, lion...