It depends what the set of classes is. Best way to find out is to try it...
On 19 December 2017 at 19:36, Luigi Lomasto < l.loma...@innovationengineering.eu> wrote: > Hi all. > > I’m working for text classification to classify Wikipedia documents. I > using a word count approach to extract feature from my text so I obtain a > big vocabulary that contains all documents word (train dataset) after > lemmatization and deleted stop word. Now I have 70000 features. I think > that for this problems (word based) is not good to make feature selection > (with SVD or PCA). Actual accuracy is 77%. > > Do you think that I need to do feature selection to grow up the accuracy? > > Thank you for answer. Regards. > > Luigi > > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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