R: Data set: Artificial cross-validation data for use with ROCR

ROCR.xval {ROCR} | R Documentation

## Data set: Artificial cross-validation data for use with ROCR

### Description

A mock data set containing 10 sets of predictions and corresponding labels as would be obtained from 10-fold cross-validation.

### Usage

    data(ROCR.xval)

### Format

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.

### Examples

    # 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)

[Package ROCR version 1.0-7 Index]