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What is Classification Algorithms in Machine Learning about?

The document discusses instance-based learning classifiers, focusing on classification algorithms in supervised machine learning, which categorize new observations based on training data. It differentiates between lazy learners, like k-nearest neighbors (kNN), and eager learners, highlighting their operational differences and suitability for various data types. Additionally, it explains the concepts of overfitting and overgeneralization in model training, as well as the application of kNN in classifying dat

Author

jayjoshi80208

Language

EN