Hello there:
I got 13 variables in my training/target set, the first 12 variables are
mixture of numerical and categorical variables. The last one is the one I
need
to predict, and it is a numerical variable.
>train<-read.table("train.txt")
>test<-read.table("test.txt")
>cl<-factor(train[,13])
>pred<-knn(train, test, clk=3, prob=TRUE)
>pred
I got output on the screen as following
8.10832229 8.831127635 7.592870288 8.521782644 6.376726948 6.914730893
9.71534911 8.658171785 6.104793232 7.247080585 6.298949247 5.105945474
7.508238775 7.65396918 8.831127635 7.912056888 6.381816017 7.211556733
276 levels ............
Then I tried to calculate a formula:(actual-pred)/actual, which includes
pred
values. However, I cannot do this even I convert the factors in pred to
vectors. Can anybody help??
Thank you very much indeed,
Qin
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