[R] MDS plot in Random Forest

[Bert Gunter]

Elahe:


On Thu, May 25, 2017 at 8:15 AM, Elahe chalabi via R-help
<r-help at r-project.org> wrote:
> Hi all,
> I have applied Random Forest on my data and divided data into test and rain set to see the prediction results and it seems good cause the accuracy is 82%. Now my question is how can I plot MDS on predicted data? here is my code:
>
>
>
>   spl=sample.split(df$PatientType,SplitRatio = 0.7)
>   Train=subset(df,spl==TRUE)
>   Test=subset(df,spl==FALSE)
>   SecondTree=randomForest(PatientType~ cookie + curtains + get + mother + overflowing + sink +thats + window + stool + heres + drying + chair + okay +outside +  standing + tipping + windows + blowing + breeze +counter + finger + onto + open + reaching + didnt + spilled +action + quiet + summer + mouth + puddle + good +     wind +whos + sort,data = Train,nodesize=25,ntree=200,proximity=TRUE)
>   PredictForest=predict(SecondTree,newdata =Test)


> Is MDS plot a way to find out if the classification are easy to be separated?

This seems to be largely a statistics question and, if so, is OT here
(this list is about R programming) I suggest you post this on
stats.stackexchange.com instead.

Cheers,
Bert


>
> thanks for any help.
> Elahe
>
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