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The performance of the algorithm is determined through the estimation of prediction accuracy by comparing the predicted values with the measured data.
The accuracy of this prediction is assessed by comparing the predicted longitudinal pattern to that obtained through measurements.
We could check the predictive ability of the models by comparing the predicted values with the experimentally obtained results.
The predictability of these models is assessed by comparing the predicted dynamic modulus mastercurves of different mixtures with measured ones from a nondestructive impact resonance (IR) test.
Finally, the developed prediction models are validated by comparing the predicted and measured permanent strains of other four base materials.
Prediction capability of the developed model is checked by comparing the predicted gas composition with experimental results [25].
By comparing the predicted and observed maps we were able to examine how well our predictions fitted the observed mortality and in which regions there were mismatches.
The model is validated by comparing the predicted results to images of loitering ants.
Accuracy of the model was checked by comparing the predicted and measured values.
The model was validated by comparing the predicted and experimentally measured outlet temperatures.
The model is validated by comparing the predicted results with experiments.
More suggestions(18)
by comparing the prescribed
by analyzing the predicted
by comparing the projected
by comparing the determined
by estimating the predicted
by evaluating the predicted
by approximating the predicted
by comparing the calculated
by comparing the estimated
by considering the predicted
by comparing the described
by comparing the estimate
by comparing the inferred
by correlating the predicted
by displaying the predicted
by subtracting the predicted
by adding the predicted
by replacing the predicted
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com