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 ...

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.

The LOGISTIC and PROBIT procedures can perform logistic and ordinal logistic regression. See Chapter 5, "Introduction to Categorical Data Analysis Procedures," Chapter 39, "The LOGISTIC Procedure," ...

Many papers in hospitality and tourism research use logistic regression as the multivariate estimation strategy. When the results from these models are presented, only the logistic regression ...

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

We develop a Monte Carlo expectation-maximization algorithm to implement the penalized likelihood estimation. Our simulation results show that the proposed method outperforms the group ℓ1 penalized ...