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Naïve Bayes Classifier in Pattern Recognition by Ankur Kumar is a document available to read on EtoBox.

The document provides information about prototype selection, model prototyping, and the Naive Bayes classifier machine learning algorithm. It defines prototype selection as selecting a minimal subset of samples that represent a larger dataset. It describes model prototyping as the iterative phase of building machine learning models through data preparation and model training/tuning. It then provides details on the Naive Bayes classifier, including how it works, its assumptions, applications, advantages, dis

Author

Ankur Kumar

Language

EN