roc.examples: Examples of predictions for ROC curve construction

In erikpeter/fbroc: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves

Description

Contains simulated data that can be used as examples for generating ROC curves. Both a continuous and a discrete predictor are included. For both cases there is a version with outliers and one without.

Usage

roc.examples

Format

A data.frame with 160 rows and 5 variables:

True.Class

True class label of the observation

Cont.Pred

Predictions for which the binormal model for ROC curves holds. Predictions for both the positive and negative class follows a normal distribution with unit standard deviation and means 2 and 0 respectively.

Cont.Pred.Outlier

Same as above, with some extreme outliers in the negative class.

Disc.Pred

Example of a discrete predictor. Predictions for the negative class are integer values between 1 and 8, positive samples have integer predictions between 7 and 14.

Disc.Pred.Outlier

Same as above, with some extreme outliers in the negative class.

erikpeter/fbroc documentation built on May 16, 2019, 8:42 a.m.