Hi Ibtihal,
I understand that you have already created a Naïve Bayes Classifier using the “fitcnb” function. To calculate the posterior probabilities, you need to add the following line to your code after the creation of the model.
[labels,PostProbs,MisClassCost] = predict(Mdl,xdata);
The variables in the above line of code contain the following information:
- “Mdl”: Naïve Bayes classifier model.
- “xdata”: Input data for which you want to calculate the posterior probabilities.
- “PostProbs”: Posterior probabilities of all the classes in your case.
- “labels”: The predicted labels for your input data.
- “MisClassCost”:Misclassification costs for all the classes in each data point.
For more information on how the posterior probabilities and misclassification costs are estimated, refer to the following link:
Regards,
Avadhoot.
