Binary Classification, Confusion Matrix, Precision, Recall, F Score.
Always your model should try to reduce False Negative and False Positive values. As an example, a machine learning model is trained to predict tumors in patients. The test dataset consists of 100 people. True Positive (TP) — the model correctly predicts the positive class (prediction and actual