A probabilistic metric for the validation of computational models

A new validation metric is proposed that combines the use of a threshold based on the uncertainty in the measurement data with a normalized relative error, and that is robust in the presence of large variations in the data. The outcome from the metric is the probability that a model's predictio...

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Bibliographic Details
Main Authors: Ksenija Dvurecenska, Steve Graham, Edoardo Patelli, Eann A. Patterson
Format: Article
Language:English
Published: The Royal Society 2018-01-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180687