False Positive (FP)
Assume a data set that includes examples of a class Non-default and examples of class Default. Assume further that you’re evaluating your model’s performance to predict examples of class Non-default.
False positives is a field in the confusion matrix which shows the cases when the actual class of the example was Default and the predicted class for the same example was Non-default.