Binary Classification, Confusion Matrix, Precision, Recall, F Score.
model wrongly predicts the positive class (predicted-negative, actual-positive). In the above example, 8 people who have tumors are predicted as negative. FN is also called a TYPE II error. With the help of these four values, we can calculate the True Positive Rate (TPR), False Negative Rate (FPR),