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2 years ago in Machine Learning By Rinku

What machine learning classification methods are effective for binary (1/0) output problems?

Which classification algorithms perform best for predicting a binary (yes/no) outcome?

All Answers (1 Answers In All)

By Abhay R Answered 7 months ago

Many methods work well. Logistic Regression is a strong, interpretable baseline. Support Vector Machines (SVM) are effective for clear margin separation. Decision Trees and ensemble methods like Random Forest and Gradient Boosting typically offer high accuracy for complex patterns. The best choice depends on your data's size, linearity, and feature structure.

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