Hi users I'm student who is struggling with basic R programming. Would you please help me with this problem. "My english is bad" I hope that my question is clear: I have a matrix in wich there are two colmns( yp, yt) Yp: predicted values from my model. yt: true values ( my dependante variable y is a categorical;3 modalities (0,1,2) I don't know how to procede to calculate the misclassification rate and the error Types. Thank you for answring Doussa -- View this message in context: http://r.789695.n4.nabble.com/misclassification-rate-tp3787075p3787075.html Sent from the R help mailing list archive at Nabble.com.
misclassification rate
3 messages · Doussa, Patrick Breheny
On 09/02/2011 05:29 PM, Doussa wrote:
I have a matrix in wich there are two colmns( yp, yt) Yp: predicted values from my model. yt: true values ( my dependante variable y is a categorical;3 modalities (0,1,2) I don't know how to procede to calculate the misclassification rate and the error Types.
Suppose your data looks like this:
> yp <- sample(0:2,50,replace=TRUE)
> yt <- sample(0:2,50,replace=TRUE)
You can create a cross-classification table with:
> tab <- table(yp,yt)
> tab
yt
yp 0 1 2
0 5 8 5
1 2 11 9
2 1 2 7
And the misclassification rate is
> 1-sum(diag(tab))/sum(tab)
[1] 0.54
Patrick Breheny Assistant Professor Department of Biostatistics Department of Statistics University of Kentucky
Thank you very much Patrick. -- View this message in context: http://r.789695.n4.nabble.com/misclassification-rate-tp3787075p3788456.html Sent from the R help mailing list archive at Nabble.com.