交互式极点图用于模型比较
Aleksandar Anžel1, Dominik Heider1, Georges Hattab2
1Department of Mathematics & Computer Science, University of Marburg, Hans-Meerwein-Straße 6, Marburg, D-35032, Hesse, Germany.
Computer methods and programs in biomedicine
|October 13, 2023
概括
评估复杂的模型与传统方法具有挑战性. 一个新的图书馆,极点图,使用交互式泰勒和相互信息图表来更容易地评估和比较各种科学领域的性能.
科学领域:
- 计算科学 计算科学
- 数据科学数据科学数据科学
- 科学建模科学建模
背景情况:
- 在生物学,气候学和机器学习等多个领域评估复杂模型的传统方法在同时使用多个评估指标时通常是不充分的.
- 传统的表格式呈现多模型评估分数,阻碍了模型相似性和绩效排名的确定.
研究的目的:
- 引入一种新的方法来评估和比较复杂模型的性能.
- 提供一个可访问的工具,用于可视化模型性能和关系.
主要方法:
- 该研究结合了统计学,信息理论和数据可视化技术.
- 叠加的泰勒和相互信息图用于跟踪和总结模型性能.
- 该方法允许可视化模型之间的线性和非线性关系.
主要成果:
- 开发的图书馆,极点图,提供了泰勒图和相互信息图的第一个公开可用的交互实现.
- 这些图表被扩展到显示时间性,多模式性,多变量数据集和等级模型属性,如不确定性.
- 该库支持连续和分类数据属性.
结论:
- 极点图库提供了一个用户友好的解决方案,可以快速评估复杂模型的性能.
- 它适用于各种领域,包括机器学习,气候科学和生物医学研究.
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