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I'm not positive in regards to the other procedures, but element correlation is a problem that needs to be addressed prior to assessing feature worth.
Is there a way similar to a rule of thumb or an algorithm to automatically make your mind up the “greatest of the best� Say, I use n-grams; if I use trigrams on the one thousand instance info established, the quantity of features explodes. How am i able to established SelectKBest to an “x†number immediately according to the greatest? Thanks.
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Did you accidently involve The category output variable in the info when performing the PCA? It should be excluded.
Computerized graphic captioning will be the undertaking in which, supplied a picture, the process have to crank out a caption that describes the contents of the picture.
I’m addressing a project where I have to use distinctive estimators (regression versions). could it be correct use RFECV Using these versions? or could it be sufficient to employ only one of them? As soon as I've selected the very best characteristics, could I make use of them for every regression design?