Multi-Class Classification - MLforSEO

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Multi-Class Classification

Classification where data is assigned exclusively to one of three or more options (e.g., categorizing page type: blog post, FAQ page, landing page).

Multi-Class Classification is a type of single-label classification where the model predicts one outcome from three or more options. The key feature is that the predicted outcome is exclusive; the data point can only be assigned to a single class label.
This classification is appropriate for categorizing content into non-overlapping groups. An SEO example is determining what type of content a page is, classifying it as either a Blog, Product, FAQ, or Other. Algorithms such as Naive Bayes and Support Vector Machine (SVM) can be used for this task.

Sources & References

Introduction to Machine Learning for SEOs Course

academy.mlforseo.com

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