False Positive Prediction
(Redirected from FP)
- AKA: False Positive, FP, False Positive Result, Type I Error, Decision Error.
- If a model predicts that a person has cancer when in fact they do not have cancer then the prediction is labeled as a False Positive Prediction.
- See: Probability Theory, Classification Performance.
- type I (hypothesis test) error The error of incorrectly rejecting a null hypothesis when it is true.
- (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Type_I_and_type_II_errors#Type_I_error
- Type I error, also known as an "error of the first kind", an α error, or a "false positive": the error of rejecting a null hypothesis when it is actually true. Plainly speaking, it occurs when we are observing a difference when in truth there is none. An example of this would be if a test shows that a woman is pregnant when in reality she is not. Type I error can be viewed as the error of excessive credulity.