ViperCharts: Visual Performance Evaluation Platform
Abstract
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.
Cite
Text
Sluban and Lavrac. "ViperCharts: Visual Performance Evaluation Platform." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013. doi:10.1007/978-3-642-40994-3_47Markdown
[Sluban and Lavrac. "ViperCharts: Visual Performance Evaluation Platform." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013.](https://mlanthology.org/ecmlpkdd/2013/sluban2013ecmlpkdd-vipercharts/) doi:10.1007/978-3-642-40994-3_47BibTeX
@inproceedings{sluban2013ecmlpkdd-vipercharts,
title = {{ViperCharts: Visual Performance Evaluation Platform}},
author = {Sluban, Borut and Lavrac, Nada},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2013},
pages = {650-653},
doi = {10.1007/978-3-642-40994-3_47},
url = {https://mlanthology.org/ecmlpkdd/2013/sluban2013ecmlpkdd-vipercharts/}
}