I have been playing around with two R packages for naive Bayes classification (e1071 and klaR) using the Iris dataset as an example.
During the training phase, the outpur of the apriori probabilities for each class, is 0.3333 for the three of them.
A-priori probabilities: setosa versicolor virginica 0.3333333 0.3333333 0.3333333
Why is the same probability for the three classes? Does it means that if I test my model using an unknown flower, theres 33% of it being classified as setosa, versicolor or virginica?