Take a look at the examples:
Try it out:
The platform enables users to create interactive charts for easy and intuitive evaluation of performance results. It includes standard performance visualizations used in machine learning, data mining, information retrieval, etc., and extends them by offering alternative evaluation methods like F-isolines, and by establishing relations between corresponding presentations like ROC, Precision-Recall and Lift curves, or ROC Hull and Cost curves.
Additionally, the interactive performance charts can be saved, exported to several formats, and shared via unique web addresses. A web API to the service is also available.
ViperCharts support the following charts for visual performance evaluation:
Sluban and Lavrač - ViperCharts: Visual Performance Evaluation Platform, ECML PKDD 2013, pp. 650-653, LNCS 8190, Springer, 2013.