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"Brute force feature selection"
ammargh
Shouldn't brute force feature selection return the best performance? The performance I had using features I have selected manually was better than the performance using features returned from brute force selection component.
Is this normal?
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MariusHelf
Hi,
how big is the difference between your manual performance and the performance of the features found by brute force? Are you using a Cross Validation?
Please keep in mind that by default the X-Validation always uses random splits, and thus small performance changes can be produced by randomness. To enforce the same splits in all X-Validations in all iterations, and also in your manual evaluation, you can set the local random seed of all X-Validation operators to a constant. Then only the performance of the algorithms and the features is compared, and the factor "random" is eliminated.
Best regards,
Marius
ammargh
I see your point.
I will follow your advise
Thank you.
mafern76
It should be
impossible
for a manual selection to do better than a brute force selection, because the latter simply tries all possible combinations.
I agree with Marius, your results are biased because of randomness and I might add maybe due to high variation in your model algorithm.
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