The Naïve Bayes classification technique is a type of supervised learning algorithm that uses the Bayes theorem to make predictions. It is based on the idea that each feature of the data has an independent effect on the outcome, and that they can be used to make more accurate predictions. The algorithm is used to classify items into different categories based on their features.