Naive Bayes algorithm is a simple and effective classification algorithm.However,its classification performance is affected by its conditional attribute independence assumption and request of complete data.This paper proposes a weighted Naive Bayes classification algorithm based on EM algorithm and partial least squares. Experimental results show its validity.