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Naive + Naive = Smart Bayes?
"... Naive Bayes is a wellknown and studied algorithm both in statistics and machine learning. Bayesian learning algorithms represent each concept with a single probabilistic summary. This paper presents a novel method to construct a hierarchy of Naive Bayes classifiers, in which two levels of Naive Bay ..."
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Naive Bayes is a wellknown and studied algorithm both in statistics and machine learning. Bayesian learning algorithms represent each concept with a single probabilistic summary. This paper presents a novel method to construct a hierarchy of Naive Bayes classifiers, in which two levels of Naive Bayes classifiers are applied. The underlying motivation is to try to correct the mistakes made by a single Naive Bayes classifier applying Naive Bayes again over its output. We have tested this algorithm over 20 UCI datasets. The results suggest that the chance of obtaining a better performance than with the original Naive Bayes approach are much greater than the opposite.