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.

This article derives a new family of estimators, namely the minimum density power divergence estimators, as a robust generalization of the maximum likelihood estimator for the polytomous logistic ...

Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...

There are dozens of code libraries and tools that can create a logistic regression prediction model, including Keras, scikit-learn, Weka and PyTorch. When training a logistic regression model, there ...

Odds of SBC were tested for various risk factors individually using univariate logistic regression. In addition, a multivariate regression model was developed to test the odds of developing SBC while ...

Through logistic regression analysis, it was found that pain severity, walking ability, self-care ability, physical function, ...