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In sensitivity analysis, important input parameters are identified and varied 10% around their base case (validation) values.
Validation analysis showed the predicted values by RSM and ANN were close to the validation values, whereas the ANN showed the lowest deviation, 2.57%, compared to the RSM.
The calibration and validation values of SWAT model outputs obtained from the NB manure application and the original mixed (OM) manure were compared.
(3) The SWAT results obtained from the NB manure had a better calibration and validation values than those from the OM manure.
Both the calibration and the validation values obtained by using a partial least squares (PLS2) regression method indicate a good-quality model performance (slope near 1, offset near 0 and large correlation between sensors and categorised variables).
Both the calibration and the validation values obtained by using partial least squares (PLS2) regression method, indicate a good-quality model performance (slope near 1, off set near 0 and large correlation between sensors and categorized variables).
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In both validation methods, a validation value greater than 0.5 indicates a robust and predictive model.
The first effect, clearly observable in Fig. 12B, was an increased growth rate when proBias was decreased from the default validation value of 2.25.
The cross-validation values of these gene pairs are low because they only appear when such one tissue samples are selected.
Estimates based on generalized cross-validation values showed that the predictive model correctly classified groups with 70.6% success.
RX and Q (calculated by 7-fold internal cross-validation) values were considered as measures of goodness of model and the model robustness, respectively.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com