Categories: Machine Learning
Binary classification is a type of classification problem where there are only two possible output classes. For example – if the patient has a particular disease or not is a binary classification problem. Here the two classes are usually represented as Positive/True/1 if disease is present and Negative/False/0 if disease is not present.
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