A Python code for creating radar charts to visualize model performance based on various metrics.
A Taylor Diagram is a graphical representation used to evaluate how well models reproduce the observed data. It displays three statistical measures: correlation coefficient, root mean square deviation (RMSD), and the standard deviation of both observed and model data. Here’s a basic guide on how to create and interpret a Taylor Diagram.
This repository contains the code for creating Taylor Diagrams to visualize the performance of various models based on multiple evaluation metrics. The Taylor Diagrams are generated from a CSV file containing the observed values and model predictions.
For more details, visit the GitHub repository.