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Classification in machine learning involves training algorithms to categorize data points into predefined classes based on their features. It enables systems to identify patterns and assign labels such as spam detection, image recognition, or sentiment analysis. By learning from labeled datasets, classification models can predict the category of new, unseen data with high accuracy, supporting various practical applications.