I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity. The goal of a ...

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.

Regression can be used on categorical responses to estimate probabilities and to classify.

Logistic regression analysis of high-dimensional data, such as natural language text, poses computational and statistical challenges. Maximum likelihood estimation often fails in these applications.

To account for such an over-dispersion, we propose to use an additive logistic normal multinomial regression model to associate the covariates to bacterial composition. The model can naturally account ...