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?
thanks for any help.
Elahe
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