There are many other techniques for binary classification, but logistic regression was one of the earliest developed and the technique is considered a fundamental machine learning skill for data ...

However, coding multi-class logistic regression from scratch has least four advantages over using a library. Your code can be small and efficient, you can avoid licensing and copyright issues, you ...

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

Regression can be used on categorical responses to estimate probabilities and to classify.

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.

Selection of a subset of meaningful covariates for a statistical model is an important and often time-consuming task in model building. Lawless and Singhal (1978, Biometrics 34, 318-327) proposed a ...

Laurence D. Robinson, Nicholas P. Jewell, Some Surprising Results about Covariate Adjustment in Logistic Regression Models, International Statistical Review / Revue Internationale de Statistique, Vol.