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I would add that another practical aspect about Naive Bayes classifiers is that you can make use of the conditional probabilities for each feature that contribu
by rgarreta 9y ago
I would add that another practical aspect about Naive Bayes classifiers is that you can make use of the conditional probabilities for each feature that contributes to the predictions. That gives you some introspection on how the model is working and it's useful when "debugging" classifiers by finding features that should/shouldn't be used.
https://monkeylearn.com/blog/how-to-create-text-classifiers-machine-learning/#keyword-cloud https://monkeylearn.com/blog/how-to-create-text-classifiers-...
- abhgh 9y agoA side note here: the classification probabilities NB produces are not very accurate and usually need some correction using a process called "calibration".