Interview topic: False positives and false negatives

A false positive is an error in binary classification in which a test result incorrectly indicates the presence of a condition (such as a disease when the disease is not present). A false negative is the opposite of a false positive, where the test result incorrectly indicates the absence of a condition when it is really present. The false positive and false negative are two kinds of errors in a…