Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

However, the vast majority of machine learning binary classification algorithms use 0-1 encoding for the target variable, so it makes more sense to programmatically convert so that the 0-1 encoded ...