+Binary classification is a fundamental [Machine Learning](/wiki/machine_learning) task where an algorithm separates input [Data](/wiki/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'.
+## See also
+- [Classification](/wiki/classification)
+- [Supervised Learning](/wiki/supervised_learning)
+- [Logistic Regression](/wiki/logistic_regression)
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