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. 2014 Nov 6;10(11):e1003922. doi: 10.1371/journal.pcbi.1003922

Table 3. Naïve Bayes classifier.

Prior Probabilities Uniform Empirical
Distribution Training set Test set Training set Test set
Normal 47.47 58.00 46.78 57.28
Kernel 33.45 56.98 33.04 57.36

Training set and test set errors are shown for each combination of type of distribution of data and prior class probabilities. Lowest error rate is ∼33% for training set and ∼57% for test set when kernel distribution is used to model the data.