Logistic regression is a statistical tool that forms much of the basis of the field of machine learning and artificial intelligence, including prediction algorithms and neural networks.

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 ...

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 ...

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

The author proved that once the logistic regression model confirm the effectiveness for a CME, the recommendation algorithm can be used to recommend similar historical events.

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.

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams ...