Fig. 5
From: A comprehensive tool for creating and evaluating privacy-preserving biomedical prediction models
![Fig. 5](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2Fs12911-020-1041-3/MediaObjects/12911_2020_1041_Fig5_HTML.png)
Screenshot of the view implemented for assessing the performance of privacy-preserving prediction models. Area 1: Comparison of basic performance parameters, Area 2: ROC curves for models built with original and anonymized data, Area 3: Selection of feature and class variables, Area 4: Selection and configuration of model parameters