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PROVIDING PERFORMANCE VIEWS ASSOCIATED WITH PERFORMANCE OF A MACHINE LEARNING SYSTEM

机译:提供与机器学习系统的性能相关的性能视图

摘要

The present disclosure relates to systems, methods and computer readable media for evaluating performance of a machine learning system and providing one or more performance views representative of the determined performance. For example, systems disclosed herein may receive or identify performance information including outputs, accuracy data, and feature data associated with a plurality of test instances. In addition, systems disclosed herein may provide one or more performance views via a graphical user interface including graphical elements (e.g., interactive elements) and indications of accuracy data and other performance data with respect to feature clusters associated with select groupings of test instances from the plurality of test instances. The performance views may include interactive features to enable a user to view and intuitively understand performance of the machine learning system with respect to clustered groupings of test instances that share common characteristics.
机译:本公开涉及用于评估机器学习系统的性能并提供表示所确定的性能的一个或多个性能视图的系统,方法和计算机可读介质。例如,本文公开的系统可以接收或识别包括与多个测试实例相关联的输出,准确性数据和特征数据的性能信息。另外,本文公开的系统可以经由图形用户界面提供一个或多个性能视图,该图形用户界面包括图形元素(例如,交互元素)以及关于与来自测试对象的选定测试组的选择分组相关联的特征簇的精度数据和其他性能数据的指示。多个测试实例。性能视图可以包括交互式功能,以使用户能够查看和直观地了解机器学习系统相对于共享共同特征的测试实例的聚类分组的性能​​。

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