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The right-most columns of Table 2 give the evaluation of predictive ability of the kernels measured as the correlation between predicted values and observed PTA, and MSE of prediction, for several different bandwidth parameters (G 1∗ and G 2∗ do not involve this parameter).
The prediction goal is to minimize the gap between predicted values and real values.
Specifically, the estimation of 'whether large prediction errors will occur' enables detection of places where absolute differences between predicted values and observed values are large, e.g., larger than a predefined threshold.
The remaining 20% of the RILs (870) were held out as a validation set, and the prediction accuracies were estimated as the within-family Pearson's correlation between predicted values and actual SLB resistance BLUP values.
Simulation shows a good correlation between predicted values and measurements (R2 = 0.96).
In the model validation, a good agreement between predicted values and experimental data was observed (RMSE = 0.344, bias = 0.997 and accuracy = 1.017), indicating that the growth parameters of W. viridescens in vacuum-packaged ham were successfully estimated with OED.
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The deviations between the predicted values and CFD values can be less than 3%.
The percentages of error all fall within 1%, between the predicted values and the experimental values.
Good agreement is observed between the predicted values and experiment results from other studies.
The predicted results using RA and ANN model indicate a good agreement between the predicted values and experimental results.
From this, it is clearly seen that a good agreement is observed between the predicted values and experimental measurements.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com