RMSvirhettä

RMSvirhettä is a Finnish term that translates to "RMS error" or "Root Mean Square error" in English. It is a statistical measure used to quantify the difference between values predicted by a model and the actual values observed. The RMSvirhettä represents the standard deviation of the residuals (prediction errors).

The calculation of RMSvirhettä involves several steps. First, the differences between the observed values and the predicted values are calculated. These differences are then squared to eliminate negative signs and to give more weight to larger errors. Next, the average of these squared differences is computed. Finally, the square root of this average is taken to return the error to the original units of measurement, making it more interpretable.

RMSvirhettä is widely used in various fields, including machine learning, econometrics, and engineering, to assess the accuracy of predictive models. A lower RMSvirhettä value indicates a better fit of the model to the data, meaning the model's predictions are closer to the actual observations. Conversely, a higher RMSvirhettä suggests a poorer model performance. It is a common metric for evaluating regression models.