I recently came across pROC
package to get AUC
. In the help section, they give following example:
library("pROC")
data(aSAH)
auc(aSAH$outcome, aSAH$s100b)
In above, outcome
is a factor
whereas s100b
is numerical
.
My question is how does AUC
work in this case? What threshold does it apply for s100b
? Or it does not matter?
Edit 1 The above code results in AUC = 0.73
. How do I know which threshold value was chosen to get this value?
The AUC in the auc
function of pROC is the Area Under the ROC curve . Behind the scenes the function calls the roc
function first, and so what you did is equivalent to:
myroc <- roc(aSAH$outcome, aSAH$s100b)
auc(myroc)
The ROC curve is obtained by calculating sensitivity and specificity for all possible thresholds. You can visualize the curve with the plot
function, and the AUC is shown in grey:
plot(myroc, auc.polygon=TRUE)
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