Locate the training data and testing data used for the Naive Bayes algorithm. If Naive Bayes has already been performed, this data will appear as two vectors, one for each set. The longer vector is the training data and the shorter vector is the testing data.
Concatenate the training and testing data vectors into one single, longer vector. In some statistical programs, this is easily done. For example, in R, use the command: new <- c(train, test). This will get the new vector. "Train" is the training vector and "test" is the testing vector.
Run the Naive Bayes algorithm as normal, but with the exception of running it with the new data vector as the input. The running time will be longer than normal; this is normal.
Observe the output. It will differ from non-boosted Naive Bayes. This function makes more accurate predictions.