1. Assuming normally distributed data! Naïve Bayes Classifier

2. Training Estimate class priors The number of members of each class over the total number of trials Estimate class conditional means For each feature, average over feature values of each class Estimate class conditional standard deviations For each feature, standard deviation of each feature for each class

3. Testing For each new sample, using normal distribution for each class Compute the probability of being member of each class by adding prior to the above probability.