A mock data set containing a simple set of predictions and corresponding class labels.

`data(ROCR.simple)`

A two element list. The first element, `ROCR.simple$predictions`

, is a
vector of numerical predictions. The second element,
`ROCR.simple$labels`

, is a vector of corresponding class labels.

```
# plot a ROC curve for a single prediction run
# and color the curve according to cutoff.
library(ROCR)
data(ROCR.simple)
pred <- prediction(ROCR.simple$predictions, ROCR.simple$labels)
pred
#> A prediction instance
#> with 200 data points
perf <- performance(pred,"tpr","fpr")
perf
#> A performance instance
#> 'False positive rate' vs. 'True positive rate' (alpha: 'Cutoff')
#> with 201 data points
plot(perf,colorize=TRUE)
```