Binary Classification, Confusion Matrix, Precision, Recall, F Score.
low as possible(If a person does not have cancer and the model predicts that he has cancer(False Positive). This is okay, that person can do a test and check whether he has cancer or not. But if a person has cancer but the model predicts as not a cancer patient(False Negative) is not good. we need