From 50e1d0025e35640659f84e9e94114ff7138d48bb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Micka=C3=ABl=20V=C3=A9ril?= Date: Thu, 19 Nov 2020 15:04:04 +0100 Subject: [PATCH] Fix RMSE indicate the accuracy not the precision --- Manuscript/QUEST_WIREs.tex | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Manuscript/QUEST_WIREs.tex b/Manuscript/QUEST_WIREs.tex index 994c2b8..6eef08f 100644 --- a/Manuscript/QUEST_WIREs.tex +++ b/Manuscript/QUEST_WIREs.tex @@ -794,13 +794,13 @@ So with $\nExnn$ the size of the vector $\vec{\err^x_\meth}$ \begin{gather} MSE_\meth = \overline{{\vec{\err_\meth}}} = \frac{1}{\nExnn}\sum_{x=1}^\nExnn\err_\meth^x \\ MAE_\meth = \overline{\abs{\vec{\err_\meth}}} \\ + RMSE_\meth = \sqrt{\overline{\vec{\err_\meth}^2}} \\ \end{gather} These statistics data inform about the accuracy of the methods compared to the reference. \begin{gather} - RMSE_\meth = \sqrt{\overline{\vec{\err_\meth}^2}} \\ SDE_\meth = \sqrt{\frac{1}{\nExnn}\sum_{x=1}^\nExnn(\err_x-MAE)^2} \end{gather} -These statistics data inform about the precision of the methods compared to the reference. +This statistics data inform about the precision of the methods compared to the reference. On the website the statistics are forwarded in a table and in a box plot graph. %------------------------------------------------