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This website hosts the "classic" implementation of Python (nicknamed CPython). A selection of other implementations can be found also. Study more
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I’m focusing on a private project of prediction in 1vs1 sports activities. My neural community (MLP) have an accuracy of sixty five% (not magnificent but it’s an excellent start out). I've 28 functions and I think that some impact my predictions. So I used two algorithms mentionned in your submit :
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I have question with regards to four automatic aspect selectors and have magnitude. I discovered you used precisely the same dataset. Pima dataset with exception of function named “pedi” all characteristics are of equivalent magnitude. Do you need to do any sort of scaling If your element’s magnitude was of many orders relative to one another?
The scikit-master library offers the SelectKBest course that could be employed with a collection of different statistical tests to select a certain number of options.
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