Explain Naive Bayes Classification Algorithm with a suitable example.

Naive Bayes is a probabilistic machine learning algorithm based on applying Bayes’ theorem with strong (naive) independence assumptions. It is commonly used for classification tasks and is particularly effective for problems involving large datasets with categorical input variables. The key idea is to predict the class of a ______ ____ __________ _____ ______ _______ _______ ___ _________.
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