May 2017
Beginner to intermediate
254 pages
6h 24m
English
Content preview from Python Machine Learning By Example
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Naive Bayes
It is a very simple algorithm. For a relatively small training dataset, if features are independent, naive Bayes will usually perform well. For a large dataset, naive Bayes will still work well as feature independence can be assumed in this case regardless of the truth. Training of naive Bayes is usually faster than any other algorithms due to its computational simplicity. However, this may lead to high bias (low variance though).
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