Look more carefully at y. If this is a factor, please note what is the
first (reference) level and what the second. This determines the rule,
not the value of the first observation.
Best,
Uwe Ligges
On 02.05.2017 07:25, Daniel Jeske wrote:> Hello -
>
> I have noticed that when I run svm() the order of my data matters. If the
> first case in the data frame has y=+1 I get the expected decision rule that
> says to classify as +1 if f(x)>0. However, if the first case in the
data
> frame has y=-1 then apparently the decision rule being used says to
> classify as +1 if f(x)<0, and in this case all the coefficients are
> negative of their values compared to the first case. So the two
> classification rules are equivalent, but is a user really supposed to know
> the difference? It is likely they would assume the decision rule is always
> to classify as +1 if f(x)>0. Does anyone think the behavior I have
noticed
> is as intended, or is otherwise benign?
>
> Thank you,
> Daniel Jeske
> Professor
> Department of Statistics
> University of California - Riverside
>
> [[alternative HTML version deleted]]
>
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