Dear all,
I want to measure the goodness of prediction of my linear model. That's why
I was thinking about the area under roc curve.
I'm trying the following, but I don't know how to avoid the error. Any help
would be appreciated.
library(ROCR)
model.lm -
ROC area does not measure goodness of prediction but does measure pure
predictive discrimination. The generalization of the ROC area is the
C-index for continuous or censored Y. See for example the rcorr.cens
function in the Hmisc package.
Frank
agent dunham wrote:
Dear all,
I want to
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