Supervised learning for a Bayesian classifier over two pattern classes C, and C₂, each with a class prior 0.6 and 0.4 respectively. It is known that each class of patterns follows a Gaussian distribution. Below are data sets for the two classes (정규분포를 갖는 두 클래스의 사전 확률과 데이터는): Class C₂. P(C2)= 0.4, X₂ = {(2, 1), (3, -2), (1, -2)} Class C₁. P(C)= 0.6, X,= {(1, 1), (-1, 1), (0, -2)}
