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AI & Machine Learning · Foundational

Binary Classification

Classification with exactly two possible output classes, such as yes/no or positive/negative.

Definition

Binary classifiers typically output a probability for the positive class and apply a decision threshold, often 0.5, to assign a label. Logistic regression is a classic binary classifier. Evaluation focuses on the confusion matrix, precision, recall and ROC AUC.

Example

Predicting whether a customer will churn next month.

Exam tip

Changing the threshold trades precision against recall without retraining the model.

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