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I’m engaged on a personal project of prediction in 1vs1 sports activities. My neural network (MLP) have an accuracy of 65% (not great but it really’s a good start out). I have 28 functions And that i are convinced some have an impact on my predictions. So I utilized two algorithms mentionned inside your post :
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I've concern with regards to four computerized attribute selectors and feature magnitude. I recognized you made use of a similar dataset. Pima dataset with exception of aspect named “pedi” all capabilities are of comparable magnitude. Do you'll want to do any type of scaling Should the characteristic’s magnitude was of many orders relative to one another?