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The mean squared error, MSE, between model predicted probability and observed binary outcomes is often taken as a single global index of model prediction performance and is known as accuracy.
No difference in model prediction performance was observed for water run-off, reflecting the closed-system nature of this variable.
Similarly, no difference in model prediction performance was found for N2O fluxes, but here the N2O predictions were noticeably poor in both cases.
Comparisons between XBeach results and the Van Der Meer empirical formula for wave transmission behind offshore structures show a very strong agreement, while the real-world scenario indicates promising model prediction performance of dune failure at least one day in advance.
For a particular classifier, various standard performance metrics can be summarized based on the confusion matrix to compare model prediction performance.
Our results demonstrate that there is an interaction between map density and QTL significance threshold on model prediction performance.
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The commonly used iPLS and MWPLS algorithms are modified in cooperation with the grid search technique, to identify the informative wavebands for the improvement of the model prediction performances.
Results of this kind of study are useful for design, modeling, prediction, performance evaluation and optimization of different kinds of off-road vehicles, earth moving machines, tractors, tillage tools/implements, traction elements, wheeled mobile robots and autonomous traction vehicles.
Validation of the models' prediction performance in an external validation set will be conducted.
With D14_ALP models, prediction performance was nearly the same when using either 8- or 40-h sampling frequencies.
To validate the prediction accuracy of the proposed hybrid model, the prediction performance of the proposed hybrid model was compared to those of GS SVR, PS SVR and GA SVR.
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