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.

When training a logistic regression model, there are many optimization algorithms that can be used, such as stochastic gradient descent (SGD), iterated Newton-Raphson, Nelder-Mead and L-BFGS. This ...

There are many machine learning techniques that can be used for a binary classification problem; one of the simplest is called logistic regression. And there are many ways to train a logistic ...

Ram C. Tiwari, Kathleen A. Cronin, William Davis, Eric J. Feuer, Binbing Yu, Siddhartha Chib, Bayesian Model Selection for Join Point Regression with Application to Age-Adjusted Cancer Rates, Journal ...

Multivariable logistic regression model was used to identify risk factors and stratify patients into high-risk and low-risk groups. A novel ORN classification system was developed to depict ORN ...