I have tranning set composed of 36 features. when I calculated "explained" value of PCA using Matlab. I notice that only the first 24 components are important.
My question is, would I gain a better accuracy (prediction) if I omit the reset of the components (the other 12 components). Or SVM is very resilient to noise which means that regardless whether I removed the other 12 components or not. performance will not change that much.
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