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Classification is a supervised machine learning task in which an algorithm learns to assign input data into one of several predefined categories or classes. It is commonly used in applications such as spam detection, medical diagnosis, image recognition, and sentiment analysis. The model is trained on labeled data and uses patterns in the input features to predict class labels for new, unseen data. Popular classification algorithms include decision trees, logistic regression, support vector machines (SVMs), and neural networks.
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