Binary classification is a fundamental Machine Learning task where an algorithm separates input Data into one of two distinct categories. It's used to predict a binary outcome, like 'true' or 'false', 'spam' or 'not spam', or 'success' or 'failure'.
Binary classification is a fundamental Machine Learning task where an algorithm separates input Data into one of two distinct categories. It's used to predict a binary outcome, like 'true' or 'false', 'spam' or 'not spam', or 'success' or 'failure'.