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score_mean
2009 Jul 13
0
95% Confidence Intervals for AUC - $auc.samples from the Daim Package
...Lara.harrup@bbsrc.ac.uk
############
library(Daim)
mylda <- function(formula,train,test){
model <- lda(formula,train)
predict(model,test)$posterior[,"pos"]
}
x<-Daim(OUTBREAK2 ~ COHESION.2 + COHESION.23 + ED.2 + PLAND.12 +
PLAND.2 + PLAND.25 + PLAND.26 + ALTITUDE_MEAN + SLOPE_MEAN + LSI,
model=mylda,data=landscape,labpos=1,
control=Daim.control(method="boot",number=10000),returnSample=TRUE,
cutoff=0.71)
auc(x)
summary(x)
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