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Erschienen in:
2013 | OriginalPaper | Buchkapitel
ViperCharts: Visual Performance Evaluation Platform
verfasst von : Borut Sluban, Nada Lavrač
Erschienen in: Machine Learning and Knowledge Discovery in Databases
Verlag: Springer Berlin Heidelberg
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The paper presents the ViperCharts web-based platform for visual performance evaluation of classification, prediction, and information retrieval algorithms. The platform enables to create interactive charts for easy and intuitive evaluation of performance results. It includes standard visualizations and extends them by offering alternative evaluation methods like
F
-isolines, and by establishing relations between corresponding presentations like Precision-Recall and ROC 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.