juniorClassification
What is binary classification?
Updated May 15, 2026
Short answer
Binary classification involves predicting one of two possible classes.
Deep explanation
The model learns a decision boundary separating two classes, often using sigmoid-based outputs or probabilistic thresholds.
Real-world example
Fraud detection: transaction is fraudulent or not.
Common mistakes
- Assuming class distribution is always balanced.
Follow-up questions
- What models are commonly used for binary classification?