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使用准确性和实用性评估预测的可信度——以Meteor Nexus对哺乳动物新陈代谢的预测为例

Assessing Confidence in Predictions Using Veracity and Utility - A Case Study on the Prediction of Mammalian Metabolism by Meteor Nexus.

作者信息

Judson Philip N, Long Anthony, Murray Ernest, Patel Mukesh

机构信息

Heather Lea, Bland Hill, Norwood, Harrogate HG3 1TE, UK phone: +44(0)1843880241.

Lhasa Limited, Granary Wharf House, 2 Canal Wharf, Leeds LS11 5PS, UK.

出版信息

Mol Inform. 2015 May;34(5):284-91. doi: 10.1002/minf.201400184. Epub 2015 Apr 24.

Abstract

A previous paper1 described new metrics, veracity and utility, for assessing the performance of toxicity prediction systems that report confidence in their predictions. Assessing the performance of systems that predict mammalian metabolism is complicated by the absence of comprehensive sets of negative observations and predictions. This paper presents an approach to assessing the performance of such systems using veracity and utility.

摘要

之前的一篇论文1描述了用于评估毒性预测系统性能的新指标——准确性和实用性,这些系统会报告其预测的置信度。由于缺乏全面的负面观察结果和预测结果集,评估预测哺乳动物新陈代谢的系统的性能变得复杂。本文提出了一种使用准确性和实用性来评估此类系统性能的方法。

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