In logistic regression, a classification table:
A)Indicates how well a model has predicted group membership.
B)Allows you to check that your outcome variable has been coded correctly.
C)Classifies levels of your model in terms of statistical significance.
D)None of these.

Question

Quizplus · Accepted Answer

A classification table is used to evaluate how well a logistic regression model has predicted group membership by comparing the predicted values to the actual values. It is a useful tool for assessing the accuracy of a model's predictions.

In Logistic Regression, a Classification Table