KNN one factor predicting problem
From: liu qin Could anybody help me out please?
cl<-as.factor(traindata[,13]) knn(traindata[1:295,2], newdata[1:32,2], cl,k=2,
prob=TRUE)
Error in knn(traindata[1:295, 2], newdata[1:32, 2],
cl, k = m, prob = TRUE) :
Dims of test and train differ
Both traindata and newdata have 13 elements. Only one
of the first 12 elemnets is needed to predict the 13
element.
What's the problem of following commands?
`traindata[1:295, 2]' says to use the first 295 rows of the second column of traindata, and likewise you specified the first 32 rows of the second column of newdata as the second argument. What do you mean by 12 elements? Andy
Thank you very much indeed Qin
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