to transform the regression line to fit with the binary outcome (the fact the outcome variable can take only two categories). In other words, it maps the predicted values to the probabilities used to ...

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...

Linear regression ... binary classifiers were also explored, including Random Forest, Naïve Bayes and Neural Network algorithms. When these performances were compared to the logistic regression ...