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 ...

This paper compares four calibration approaches to linear logistic regression in credit risk estimation and proposes two new single-parameter families of Calibration alternatives to logistic ...

If the signal to noise ratio is low (it is a ‘hard’ problem) logistic regression is likely to perform best. In technical terms, if the AUC of the best model is below 0.8, ...

For the study, published online this week in JAMA Cardiology, Khera and colleagues compared the predictive values of several machine-learning-based models with logistic regression for in-hospital ...