The logistic regression model can be represented with the following formula: Where the left side of the equation is the probability the outcome variable Y is 1 given the explanatory variables X.

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

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

Peiming Wang, Martin L. Puterman, Mixed Logistic Regression Models, Journal of Agricultural, Biological, and Environmental Statistics, Vol. 3, No. 2 (Jun., 1998), pp ...

The most commonly used statistical models of civil war onset fail to correctly predict most occurrences of this rare event in out-of-sample data. Statistical methods for the analysis of binary data, ...

Understand logistic regression, a key statistical method for relationships with binary outcomes. Explore its formula, assumptions and practical applications.

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