O1 = NaiveBayes.fit(meas,species); C1 = O1.predict(meas); cMat1 = confusionmat(species,C1)
Or
nbGau= NaiveBayes.fit(meas(:,1:2), species); nbGauClass= nbGau.predict(meas(:,1:2));
John Williams answered . 2024-05-17 22:42:33
"training" is used to train a classifier (pass it to FIT method), and "sample" is used to test the classifier performance on data not used for training (pass it to PREDICT method). for example:
O1 = NaiveBayes.fit(training,group); C1 = O1.predict(sample); cMat1 = confusionmat(sampleGroup,C1);
where sampleGroup is an array of true class labels for the predictor matrix in "sample".
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