Why does the FastText performance drops when we choose all categories in 20 newsgroup classification?

[falakmasir]

No description provided.

[falakmasir]

I was running the document_classification_20newsgroups.py with parameters, --report --all_categories and and I experienced a huge performance drop in FastText and GensimFastText? Why NN models performance is so shaky?

[giacbrd]

Hi, this problem on performances seems related to the number of features used. In fact, if you try `--all_categories` together with `--chi2_select 80` you will have proper results. These differences with the feature space are quite strange and should be investigated, moreover the original fastText performs even worse! Could you please try to debug with different values for `chi2_select` in order to understand if the problem is in ShallowLearn or it is (more likely) related to the fastText algorithm in general? It would be interesting to discover some peculiar behaviour of fastText 2017-05-10 16:14 GMT+02:00 falakmasir <notifications@github.com>:

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