False Positive Rate Information Section This content describes the information pertaining to the model's false postive rate. "A false positive error, or false positive, is a result that indicates a given condition exists when it does not. For example, a pregnancy test which indicates a woman is pregnant when she is not, or the conviction of an innocent person. A false positive error is a type I error where the test is checking a single condition, and wrongly gives an affirmative (positive) decision." https://en.wikipedia.org/wiki/False_positives_and_false_negatives#False_positive_error Performance Metric Information Section