In a logistic regression model, the coefficients (represented by β in the equation) represent the log odds of the outcome variable being 1 for each one-unit increase in a particular explanatory ...

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

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.

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 model can naturally account for sampling variabilities and zero observations and also allow for a flexible covariance structure among the bacterial taxa. In order to select the relevant covariates ...

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.

The regression coefficients for the logistic regression model, despite its lower AUC and overall performance, largely agreed with this importance ranking and are provided for reference in Appendix ...