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Subject:
Should I decrease the number of features if they are zero?
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"[log in to unmask]" <[log in to unmask]>
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The Support Vector Machine discussion list <[log in to unmask]>
Date:
Mon, 23 Aug 2004 22:45:42 +0100
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If all the training data has 0 in some dimensions (say, 5 within 100 dimensions), will the classification performance get better if I remove those dimensions (and reduce the feature to 95 dimensions)? Thanks
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