Random naive Bayes

Random naive bayes is a type of machine learning algorithm that uses probability to figure out how likely something is for a given situation. It looks at the words or numbers in a set of data and tries to figure out how often certain words or numbers are associated with certain outcomes. By using this information, the algorithm can make educated guesses about what outcome is most likely for a given piece of data. For example, if we have data about emails, the algorithm can use the words in the emails and prior outcomes to guess what kind of email it is (spam or not).