A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

Despite nurses often being the first health care workers many patients encounter, they frequently lack adequate tools to optimally evaluate their patients’ conditions, as in the case with myasthenia ...

We develop maximum likelihood estimation of logistic regression coefficients for a hybrid two-phase, outcome-dependent sampling design. An algorithm is given for determining the estimates by repeated ...

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

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

This article presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...