About ViperCharts

ViperCharts is a web-based platform for visual performance evaluation of classification, prediction, and information retrieval algorithms.

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:

• Scatter charts: PR space charts and ROC space charts.
• Curve charts: Lift curves, ROC curves, PR curves, Cost curves, Kendall curves and Rate-driven curves.
• Column charts: General column charts for visualizing multiple performance measures for a set of algorithms.

Publication:

Sluban and Lavrač - ViperCharts: Visual Performance Evaluation Platform, ECML PKDD 2013, pp. 650-653, LNCS 8190, Springer, 2013.

Developers:

Borut Sluban, Jan Kralj

Contact:

borut.sluban@ijs.si