There are many machine learning techniques that can be used for a binary classification problem; one of the simplest is called logistic regression. And there are many ways to train a logistic ...

(b) The effect of outliers on classification based on step and logistic regression. Regression using step and logistic models yields thresholds of 185 cm (solid vertical blue line) and 194 cm ...

Logistic regression is used when there are only two possible classes to predict. It is possible to extend logistic regression to handle situations with three or more classes, but in my opinion, there ...

Results of the CTABLE option are shown in Output 39.1.11. Each row of the "Classification Table" corresponds to a cutpoint applied to the predicted probabilities, which is given in the Prob Level ...

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," ...

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.