[R] svm regression

[Uwe Ligges]

On 18.02.2010 19:43, madhu sankar wrote:
> Hi,
>
> I am having trouble with svm regression.it is not giving the right results.
>
> example
>
>> model<- svm(dataTrain,classTrain,type="eps-regression")
>> predict(model, dataTest)
>          36         37         38         39         40         41
> 42
> -13.838257  -1.475401  10.502739  -3.047656  -8.713697   3.812873
> 1.741999
>          43         44         45         46         47         48
> 49
>   -6.034361 -13.469742   7.628642 -22.197060  -3.417444  -8.536890
> -11.876133
>          50
>   -5.877457
>
>
> My dataSet has 50 columns and 19 rows
> my classSet has 50 columns and 1 row
>
> My dataTrain has 35(1:35) columns and 19 rows
> My classTrain has 35(1:35) columns and 1 row
>
> My dataTest has 15(36:50) columns and 19 rows
> My classTest has 15(36:50) columns and 1 row


Same problems as in my last mail:

I fear you are mixing up several things: regression vs. classification, 
rows vs. columns....


> My results should be as follows:
>
>   [1] -25.70  30.30 -58.50  -1.12   7.62 -16.10 -48.50  21.10  12.60 -43.00
> [11] -47.30 -47.90 -38.40 -21.30  22.40

Why do you know?

Uwe Ligges


> But instead i get the wrong values.can anyone help me with it.
>
> Thanks,
> Joji.
>
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>
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