GA for feature selection get different results
inceptorfull
New Altair Community Member
Hi all,
I have dataset contains 37 attributes
I used neural network and logisitc regression on the FULL DATASET and got their accuracy rate
now I want to use GA to select the best attributes so I can RE-apply NN and logisitc regression and get accuracy rate ( suppose to be higher )
anyway ,
when you the optimization selection Evolutionary, it requires model to be inserted , I used NN and got higher accuracy but when used such inputs again it gives me different accuracy and same for logisitic regression
so what model should I use to train the GA so I can take its output to be used as inputs for both NN and logisitc?
I have dataset contains 37 attributes
I used neural network and logisitc regression on the FULL DATASET and got their accuracy rate
now I want to use GA to select the best attributes so I can RE-apply NN and logisitc regression and get accuracy rate ( suppose to be higher )
anyway ,
when you the optimization selection Evolutionary, it requires model to be inserted , I used NN and got higher accuracy but when used such inputs again it gives me different accuracy and same for logisitic regression
so what model should I use to train the GA so I can take its output to be used as inputs for both NN and logisitc?
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