Disclaimer : This website is going to be used for Academic Research Purposes.

False Positive

A false positive is an outcome when a classification model incorrectly predicts the positive class for a binary target variable. While a false negative is the opposite error, where the test result incorrectly indicates the absence of a condition when it is actually present. It is a Type I Error.

False Positive

Leave a Reply

Your email address will not be published. Required fields are marked *

Scroll to top