The example down below makes use of RFE Along with the logistic regression algorithm to pick out the best three options. The choice of algorithm won't issue an excessive amount providing it's skillful and regular.
Characteristic choice is a system where you quickly pick Those people features with your facts that contribute most on the prediction variable or output wherein you are interested.
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We use Ipython notebook to show the results of codes and change codes interactively through the entire class.
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Your code is accurate and my result is the same as yours. My position would be that the greatest features located with RFE are preg, mass and pedi.
Even though it fell short of all released objectives, Unladen Swallow did make some code which obtained extra to the leading Python implementation, for example advancements to your cPickle module.[sixty six]
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But I've some contradictions. For exemple with RFE I determined 20 functions to choose even so the function the most important in Element Worth just isn't selected in RFE. How can we describe that ?
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All three selector have shown three critical attributes. We could say the filter strategy is only for filtering a substantial list of functions instead of quite possibly the most trustworthy?
Basically I need to deliver element reduction output to Naive Bays. I file you can provide sample code might be improved.
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