Improve Research Reproducibility A Bio-protocol resource
Concise Method
tooltip

2.4. Model Performance Evaluation

SP Siyi Peng
JZ Jiaming Zhu
ZL Zuohua Liu
BH Bin Hu
MW Miao Wang
SP Shihua Pu
request Request a Protocol
ask Ask a question
Favorite

The performance of the models was evaluated with mean absolute error (MAE), root-mean-squared error (RMSE), and coefficient of determination (R2), which are shown in Equations (4) and (5), respectively.

As with MAE, a smaller RMSE means that the model prediction performance is better.

where yom is the mean value of the observed value. An R2 closer to 1 means the model is better.

Copyright and License information:  ©2022 by the authors.
Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

0/150

tip Tips for asking effective questions

+ Description

Write a detailed description. Include all information that will help others answer your question including experimental processes, conditions, and relevant images.

post Post a Question
0 Q&A