Question: Suppose I am facing a highly imbalanced classification problem, where the number of yes cases is significantly low compared to the number of no cases.

Suppose I am facing a highly imbalanced classification problem, where the number of "yes" cases is significantly low compared to the number of "no" cases. In this situation, what is likely the worst error metric to use when evaluating potential classifiers on the training data? A. Percent correct. B. Recall. C. F1 D. AUC E. Any of the above would be fine

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Mathematics Questions!