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%% Determine Resubstitution Classification Error of Naive Bayes Classifiers %% % Load Fisher's iris data set. % Copyright 2015 The MathWorks, Inc. load fisheriris X = meas; % Predictors Y = species; % Response %% % Train a naive Bayes classifier. It is good practice to specify the class % order. Assume that each predictor is conditionally, normally distributed % given its label. Mdl = fitcnb(X,Y,'ClassNames',{'setosa','versicolor','virginica'}); %% % |Mdl| is a trained |ClassificationNaiveBayes| classifier. %% % Estimate the in-sample proportion of misclassified observations. L = resubLoss(Mdl,'LossFun','classiferror') %% % The naive Bayes classifier misclassifies 4% of the training observations.