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Binary Classification

Task Types
Classification task with two possible outcomes (e.g., positive or negative sentiment).

Binary Classification is a type of single-label classification where the model predicts precisely one of two possible outcomes. It is a supervised learning task where the target variable is discrete.
Common applications include questions with a simple Yes/No answer. An SEO example application cited is predicting whether a website is mobile-friendly (Yes/No). The Logistic Regression algorithm is a classification algorithm commonly used for binary classification tasks.

Related Concepts

Multi-Class Classification Supervised Learning Decision Tree Machine Learning (ML) Multi-Label Classification

Sources & References

Introduction to Machine Learning for SEOs Course
academy.mlforseo.com

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