The measure for predictive quality is based on the root-mean-square error.
Displays the total root-mean-square error for the set of control points.
The Root-mean-square error is 0.184: relatively large compared to the maximum stress.
The Root-mean-square error is 0.183: hardly any better than the previous fit.
The Root-mean-square error is 0.142. As expected, each of the curves under the Type of data displayed fits the test data better.
In addition, the KLM can not make a perfect prediction and has a root-mean-square error of 21%.
The performance of these models was measured by root-mean-square error (RMSE) to obtain the best fit model.
Andere resultaten
The time-variant transverse filter minimises the root mean square error at its output.
We chose the best forecasting model by minimizing the root mean square error of the forecasts compared to the realized values of inflation.
Wir wählen das beste Prognosemodell, indem wir die mittlere quadratische Abweichung der Prognosen im Vergleich zu den tatsächlichen Inflationswerten minimieren.
For each configuration, the total mismatch as root mean square error in comparison with the VIRTIS observations is calculated.
Für jede Simulation wurde die absolute Abweichung von den gemessenen Werten auf der Basis eines Quadratwurzel-Fehlers berechnet.
You can choose the material model to draw the best fit curve and read the Root Mean Square error for the material model.
The expressiveness of the Convergence Index is critically evaluated and compared to a standard measure (Root Mean Square Error).
We compare model rankings obtained with our new performance metrics to those obtained with conventional root-mean-square errors of climatological mean values and variances, and analyze how these rankings depend on season, variable, reference data set, and climate network type.