ROCR.xval {ROCR} | R Documentation |
A mock data set containing 10 sets of predictions and corresponding labels as would be obtained from 10-fold cross-validation.
data(ROCR.xval)
A two element list. The first element,
ROCR.xval$predictions
, is itself a 10 element list. Each of these 10
elements is a vector of numerical predictions for each cross-validation
run. Likewise, the second list entry, ROCR.xval$labels
is a 10
element list in which each element is a vector of true class
labels corresponding to the predictions.
# plot ROC curves for several cross-validation runs (dotted # in grey), overlaid by the vertical average curve and boxplots # showing the vertical spread around the average. data(ROCR.xval) pred <- prediction(ROCR.xval$predictions, ROCR.xval$labels) perf <- performance(pred,"tpr","fpr") plot(perf,col="grey82",lty=3) plot(perf,lwd=3,avg="vertical",spread.estimate="boxplot",add=TRUE)