I have a data vector which I have annotated. But it only includes one feature, and data is generally on dimensional.
Is there any way to apply SVM on 1-dimensional data?
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$\begingroup$ How many data points are there? $\endgroup$– AaronCommented Mar 19, 2015 at 19:01
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$\begingroup$ thank you for your comment. at least 400 are in my vector $\endgroup$– EhsanCommented Mar 19, 2015 at 19:09
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$\begingroup$ I'm going to test decision tree, but I'm seeking for a way of using SVM either. $\endgroup$– EhsanCommented Mar 19, 2015 at 19:10
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$\begingroup$ Its not really necessary to use SVM here. You can search for the best threshold. $\endgroup$– AaronCommented Mar 21, 2015 at 0:00
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