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It is really effective in higher dimension. If you have more features than training examples, most of the algorithms perform very bad, but SVM is the only algorithm which can saves you in this situation.
It is really effective in higher dimension. If you have more features than training examples, most of the algorithms perform very bad, but SVM is the …