This book also explains the differences and similarities between the many generalizations of the logistic regression model. The following topics are covered: binary logit analysis, logit analysis of ...

Accuracy, Precision, and F1 Score. Data practitioners can use the numbers derived from a confusion matrix to calculate their logistic regression models’ accuracy, recall, and F1 score.

Multinomial Models This type of model applies to cases where an observation can fall into one of k categories. Binary data occurs in the special case where k=2.If there are m i observations in a ...