Bayesian Learning Project

I have data that contains the information about a bank customer(140000 entries), the first column contains whether the bank customer made the transaction or not (0 and 1), and the remaining 100 columns contain feature vectors. I need to fit a model for this data. The model should be either one of the models: logistic regression, naive Bayes, or any other that contains Bayes rule. U can test the model on the same data(by holding out) and please make sure that accuracy is above 70 percent.