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Approach state of art #158

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arjunmenon opened this issue Mar 6, 2017 · 1 comment
Open

Approach state of art #158

arjunmenon opened this issue Mar 6, 2017 · 1 comment

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@arjunmenon
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arjunmenon commented Mar 6, 2017 •
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How do you include the TF-IDF weights in this method?
Compared to simple MNB having count of plain bag of words, MNB with TF-IDF gets more accuracy.
How do you implement this?
www.cs.waikato.ac.nz/~eibe/pubs/kibriya_et_al_cr.pdf

Also, as a bonus a complement naive bayes further improves the problem of inconsistent dataset size, which with plain MNB favours the larger one.
This scenario is fairly common.
Some inputs on that as well would be appreciated,.
@Ch4s3
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Ch4s3 commented Mar 6, 2017

We've discussed TF-IDF, but I haven't had time to dig into it.

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@arjunmenon @Ch4s3