The Many-to-Many Mapping Between the Concordance Correlation Coefficient and the Mean Square Error

14 Feb 2019Vedhas PanditBjörn Schuller

We derive the mapping between two of the most pervasive utility functions, the mean square error ($MSE$) and the concordance correlation coefficient (CCC, $\rho_c$). Despite its drawbacks, $MSE$ is one of the most popular performance metrics (and a loss function); along with lately $\rho_c$ in many of the sequence prediction challenges... (read more)

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