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.

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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.

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