Calculating RMSE in ExcelSaunders, John
This package contains a collection of functions for calculating the skill of model predictions against observations. It includes metrics such as root-mean-square-error (RMSE) difference, centered root-mean-square (RMS) difference, and skill score (SS), as well as a collection of functions for ...
It includes metrics such as root-mean-square-error (RMSE) difference, centered root-mean-square (RMS) difference, and skill score (SS), as well as a collection of functions for producing target and Taylor diagrams. The more valuable feature of the toolbox are the plotting functions for ...
SetR2MAERMSEMSE Test 0.9862 0.0069 0.0102 0.0001 Validation 0.9834 0.0075 0.0115 0.0001 2.3. Installation and usage The software can be installed by downloading or cloning the GitHub repository at https://github.com/mihail-15/svm_friction. The software requires Python 3.9 or higher and the followin...