A 'Naive Bayes or Naïve Bayes classifier is a classifier designed with a simple yet powerful assumption: that within each class, the measured variables are independent. For example, consider the famous Iris data set, which contains various dimensions measured from various flowers of the Iris family. A Naive Bayes classifier will assume that within each class, the irises are all different, as illustrated in the second figure
A common application of Naive Bayes is to
