In binary classification, a False Positive (FP) is a misclassification of the model that assigns a “True” label to an observation whose actual label is “False”.
Used in the classification metrics.
In binary classification, a False Positive (FP) is a misclassification of the model that assigns a “True” label to an observation whose actual label is “False”.
Used in the classification metrics.