Data set: Simple artificial prediction data for use with ROCR

Description

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

Usage

data(ROCR.simple)

Format

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.

Examples

# plot a ROC curve for a single prediction run
# and color the curve according to cutoff.
data(ROCR.simple)
pred <- prediction(ROCR.simple$predictions, ROCR.simple$labels)
perf <- performance(pred,"tpr","fpr")
plot(perf,colorize=TRUE)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(ROCR)
Loading required package: gplots

Attaching package: 'gplots'

The following object is masked from 'package:stats':

    lowess

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ROCR/ROCR.simple.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ROCR.simple
> ### Title: Data set: Simple artificial prediction data for use with ROCR
> ### Aliases: ROCR.simple
> ### Keywords: datasets
> 
> ### ** Examples
> 
> # plot a ROC curve for a single prediction run
> # and color the curve according to cutoff.
> data(ROCR.simple)
> pred <- prediction(ROCR.simple$predictions, ROCR.simple$labels)
> perf <- performance(pred,"tpr","fpr")
> plot(perf,colorize=TRUE)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>