What is sensitivity in confusion matrix? A confusion matrix is a table that is often used to describe the performance of a classification model (or "classifier") on a set of test data for which the true values are known. The confusion matrix itself is relatively simple to understand, but the related terminology can be confusing.

What is sensitivity in confusion matrix?
Sensitivity or true recall rate:

Sensitivity is calculated as the number of correct positive predictions (TP) divided by the total number of positives (P)