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

Standardized coefficients in logistic regression analysis have the same utility as standardized coefficients in linear regression analysis. Although there has been no consensus on the best way to ...

Logistic regression is an important statistical procedure used in many disciplines. The standard software packages for data analysis are generally equipped with this procedure where the maximum ...

Logistic regression enables you to investigate the relationship between a categorical outcome and a set of explanatory variables. The outcome, or response, can be dichotomous (yes, no) or ordinal (low ...

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

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