This paper presents an Spam automatic detection system using Bayesian Logistic Regression (BBR) as machine learning algorithm, over the SPAMBASE collection. We have also used two machine learning algorithms: SVM and PLAUM, in order to compare the results. Our aim is to check the efficiency and effectiveness of the BBR method. The obtained results show good results in terms of precision and recall. We have also noticed that BBR is the faster algorithm.