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.
roc.examplesA data.frame with 160 rows and 5 variables:
True class label of the observation
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.
Same as above, with some extreme outliers in the negative class.
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.
Same as above, with some extreme outliers in the negative class.