0
Discussion

A note on model selection based on the percentage of accuracy-precision

[+] Author and Article Information
Ehsan Heidaryan

Department of Chemical Engineering, Engineering School, University of São Paulo (USP), Caixa Postal 61548, 05424-970, São Paulo, SP, Brazil; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
heidaryan@engineer.com

1Corresponding author.

ASME doi:10.1115/1.4041844 History: Received October 16, 2018; Revised October 22, 2018

Abstract

Mathematical methods such as empirical correlations, analytical models, numerical simulations, and data-intensive computing (data-driven models) are key in the modeling of energy science and engineering. Accrediting of different models and deciding on the best method however, is a serious challenge even for experts, as the application of models are not limited only to estimations, but to predictions and derivative properties. In this note, by combining meaningful metrics of accuracy and precision, a new metric for determining the best-in-class method was defined.

Copyright (c) 2018 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In