RMSE stands for Root Mean Square Error, and it's a commonly used metric to evaluate the accuracy of regression models. It measures the difference between the predicted values and the actual values of the target variable. The range of RMSE is from 0 to infinity, with lower values indicating better model performance. A perfect model would have an RMSE of 0, indicating that the predicted values perfectly match the actual values.

RMSE: Definition and Range in Microsoft Machine Learning Studio

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