Binary Classification, Confusion Matrix, Precision, Recall, F Score.
by the model. False Positive (FP) — model gives the wrong prediction of the negative class (predicted-positive, actual-negative). In the above example, 22 people are predicted as positive for having a tumor, although they don’t have a tumor. FP is also called a TYPE I error. False Negative (FN) —