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I know that outliers are present in data but their behaviour varies a lot from remaining data points. But today while learning about naive-Bayes they mentioned that naive-Bayes can affected by the outliers. But which points in data set are termed as outliers and how do we identify them?

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  • $\begingroup$ Please note, Small correction naive Bayes is less affected by outliers $\endgroup$ – Boggavarapu Ram Saran Sai Srin Jul 1 '19 at 18:27
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In my view, the words which are not seen in training data can be considered as outliers as it leads to the probability of the word to zero, in case of naive bayes.

Also,I think too frequent and too rare words in the corpus can also be considered as outliers as they effect the model.

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  • $\begingroup$ I got a little intuition by various internet sources. words which are not seen in training data are not consider as outlier. As you said the words which are rarely occur and sentences which forms sparsity in vector when we convert sentence to vector are considered as outliers $\endgroup$ – Boggavarapu Ram Saran Sai Srin Jul 1 '19 at 18:26
  • $\begingroup$ Thanks for the update $\endgroup$ – nag Jul 2 '19 at 3:32

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