naive bayes on a more realistic example? about h2o-tutorials HOT 2 OPEN

Hello Olaf,

Thank you for the kind words about H2O. But unfortunately, we do not currently have an example that you’re looking for.

One optimization you can try is to save the representation as an svmlight (aka libsvm) file, which is a sparse format, and load it in. Another option is to use PCA to reduce the dimensionality, and then use NB or a better algorithm like RF or GBM.

You may also find this recent article about the PCA approach interesting/useful:
https://www.hvitfeldt.me/2018/05/using-pca-for-word-embedding-in-r/

Please let me know if any of the above is helpful.

Sincerely,
Angela

from h2o-tutorials.

Hello,

I feel more example should be given with variable importance for Naive Bayes. If you are supporting one algorithm then, it should be complete support.

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