Explain Bayes classifier with the help of a suitable example. Also discuss its properties
The Bayes classifier, also known as the Naive Bayes classifier, is a probabilistic model based on Bayes' Theorem, which provides a way to classify data by calculating the probability of a data point belonging to a particular class. It is especially popular in digital image processing and computer vision due to its simplicity and efficiency.
Bayes Classifier Explained:
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