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

Scott Menard, Six Approaches to Calculating Standardized Logistic Regression Coefficients, The American Statistician, Vol. 58, No. 3 (Aug., 2004), pp. 218-223 ...

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

SimpleNomo, an open-source Python Toolbox, and an online platform that generates nomograms directly from logistic regression coefficients and the range of variables are available through a recent ...

The primary limitation of logistic regressions (LR) in testing SNP–SNP interactions is that coefficient estimates may not be valid because of numerous terms in a model.

At the first (micro) level, the usual logistic regression model is defined for each context. The same regressors are used in each context, but the micro regression coefficients are free to vary over ...

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 ...