Naive Bayes is a classification algorithm based on Bayes' Theorem, which is a fundamental concept in probability theory and statistics. The algorithm is "naive" because it makes the assumption that all features are independent of each other, given the class label. This simplifies the calculations significantly, but at the cost of some accuracy, as it may not always be the case that features are truly independent.Bayes' Theorem states that the probability of a hypothesis $($H$)$