Logistic regression employs a logistic function with a sigmoid (S-shaped) curve to map linear combinations of predictions and their probabilities. Sigmoid functions map any real value into ...

Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

You can use threshold values other than 0.5 to tune a logistic regression model. Note that the internet is littered with incorrect graphs of logistic regression where data points are shown both above ...