I am also wondering how the Accuracy reported by the confusion matrix for
gbm and rf could vary with the type of machines. The seed is the same. What
other factors could affect the accuracy ? library is caret.
Thanks,
Mohan
On Thu, Sep 25, 2014 at 2:30 PM, Mohan Radhakrishnan <
radhakrishnan.mo...@gmail.com> wrote:
> Hi,
>
> I have trained my data using two models(gbm and rf). I get the accuracies
> shown below.
>
> How does one get the aggreement accuracy% ? Is that the comparison of the
> two confusion matrices ?
>
>
>
>
> Confusion Matrix and Statistics
>
>
> Reference
>
> Prediction 1 2 3 4 5 6 7 8 9 10 11
>
> 1 33 1 0 0 0 0 0 0 0 0 0
>
> 2 13 17 4 0 0 0 0 0 0 0 0
>
> 3 0 3 25 3 0 0 0 0 0 0 3
>
> 4 0 0 0 29 0 5 0 0 0 0 0
>
> 5 0 0 0 0 18 4 10 0 0 0 2
>
> 6 0 0 0 7 2 16 3 0 0 0 6
>
> 7 0 0 3 1 1 0 26 3 0 0 0
>
> 8 0 0 0 0 0 0 2 25 3 4 0
>
> 9 0 0 0 0 0 0 2 1 21 10 0
>
> 10 0 0 0 0 0 0 1 0 9 24 0
>
> 11 0 0 0 0 2 4 0 0 2 0 26
>
>
> Overall Statistics
>
>
>
> Accuracy : 0.6952
>
>
> --------------------------------------------------------------------------------------------------
>
> Confusion Matrix and Statistics
>
>
> Reference
>
> Prediction 1 2 3 4 5 6 7 8 9 10 11
>
> 1 34 0 0 0 0 0 0 0 0 0 0
>
> 2 9 19 6 0 0 0 0 0 0 0 0
>
> 3 0 1 33 0 0 0 0 0 0 0 0
>
> 4 0 0 0 30 0 4 0 0 0 0 0
>
> 5 0 0 0 0 21 4 8 0 0 0 1
>
> 6 0 0 0 6 3 22 0 0 0 0 3
>
> 7 0 0 3 0 1 0 24 5 1 0 0
>
> 8 0 0 0 0 0 0 1 32 1 0 0
>
> 9 0 0 0 0 0 0 0 0 25 9 0
>
> 10 0 0 0 0 0 0 1 0 8 25 0
>
> 11 0 0 0 0 0 0 0 0 2 0 32
>
>
> Overall Statistics
>
>
>
> Accuracy : 0.7941
>
> Thanks,
> Mohan
>
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