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Classification methods for grouping attributes include decision trees, which split data based on feature values; k-nearest neighbors (KNN), which classifies based on proximity to labeled examples; and support vector machines (SVM), which find the optimal hyperplane to separate different classes. Other methods include naive Bayes, which applies Bayes' theorem for probabilistic classification, and ensemble methods like random forests, which aggregate predictions from multiple models to improve accuracy. Each method has its strengths and is chosen based on the data characteristics and desired outcomes.

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1d ago

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