Q-110. When the output variable is a binary categorical, a common way to evaluate the model is through calculations based on a confusion matrix, which is a 2 x 2 table showing the possible outcomes and whether the predicted answer was correct. There are four elements in the table, True positive, False negative, False positive, True negative. Based on these four elements, we could specify several performance metrics, the most common of which are:
