Automatic feature generation
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How do you find or calculate the minimum number of iterations of N attributes exampleset using Backward Elimination.
How do you find or calculate the minimum number of iterations of N attributes exampleset using Backward Elimination.
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Backward elimination will run one model using all attributes and that is the "baseline" model performance. Then in the next round, it will run a model dropping each one of the attributes individually and check the performance of each one. At that point, if none of the reduced models are acceptable (based on whatever threshold criteria you have set in the Backward Elimination operator parameters) then it will terminate. Thus the minimum number of iterations using Backward Elimination is (n+1) where n is the number of available attributes.
thanks.
i was confusing it with n+(n-1)
i was confusing it with n+(n-1)
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Backward elimination will run one model using all attributes and that is the "baseline" model performance. Then in the next round, it will run a model dropping each one of the attributes individually and check the performance of each one. At that point, if none of the reduced models are acceptable (based on whatever threshold criteria you have set in the Backward Elimination operator parameters) then it will terminate. Thus the minimum number of iterations using Backward Elimination is (n+1) where n is the number of available attributes.