MATLAB: How to check independence assumption for Naive Bayes

classificationnaive bayes

I know that the assumption for the Naive Bayes classifier is that the features are independent, but what if we want to check if that applies to our data? How would we do test it using Matlab?

Best Answer

For a 2-dimensional matrix, if the determinant is zero, then at least two rows or two columns are linearly dependent.

You can also do a principal component analysis in order to know in which direction the variation is significant.

Related Solutions

MATLAB: Naive Bayes

"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".

MATLAB: Naive Bayes Posterior Probability

You can get the posterior probabilities from the second output of the predict method. See this page: http://www.mathworks.com/help/stats/compactclassificationnaivebayes.predict.html

[label,Posterior] = predict(Mdl,X)

Best Answer

Related Solutions

MATLAB: Naive Bayes

MATLAB: Naive Bayes Posterior Probability

Related Question