Classification models are algorithms used in machine learning to categorize data into predefined classes or categories. They learn from a labeled training dataset where the correct class is known for each data point, and then predict the class for new, unseen data. Common applications include spam detection (classifying emails as spam or not spam), image recognition (classifying images based on objects they contain), and medical diagnosis (classifying patients based on disease risk).
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