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.

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression Cost function is "error" representation of the model.

Background Cardiovascular-kidney-metabolic (CKM) syndrome plays a critical role in the pathogenesis of cardiovascular ...

Multiple logistic regression models identified various combinations of these factors as predictive of MMR maintenance (Table 2 and for all the details, see the Data Supplement, Table S4).

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...