Naive Bayes is an algorithm that uses probability to classify the data according to Bayes theorem for strong independence of the features. Bayes theorem estimates the probability of an event based on prior conditions. So, overall, we use a set of feature values to estimate a value assuming the same conditions hold true when those features have similar values.