Residual Deviance (in Regression Only) is short for Mean Residual Deviance and measures the goodness of the models’ fit. In a perfect world this metric would be zero. Deviance is equal to MSE in Gaussian distributions. If Deviance doesn’t equal MSE, then it gives a more useful estimate of error, which is why Squark uses it as the default metric to rank for regression models.
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