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.

Song X, Liu X, Liu F, et al: Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis.

WASHINGTON, July 1, 2025 /PRNewswire/ — FinRegLab today released new empirical research demonstrating that adopting machine ...

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.

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Agricultural firms are uniquely exposed to risks that include volatile commodity prices, geopolitical tensions, and uneven ...

Methods We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University ...