GNB (acronym commonly used)

GNB typically stands for Gaussian Naive Bayes, a statistical classifier used in machine learning. It applies Bayes' theorem to predict the category of data points based on their features. The "Gaussian" part assumes that the features follow a normal (bell-shaped) distribution within each class. "Naive" indicates that the model assumes features are independent of each other, simplifying calculations. GNB is popular for its efficiency and effectiveness in text classification, spam detection, and other tasks where it quickly sorts data into categories with reasonable accuracy.