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The model determination coefficient (R2) of the above equation was 0.9766, indicating a good agreement between the experimental and predicted values.
The model determination coefficient, R2, was calculated to be 0.74 for SA, which indicates a good response between prediction and experimental data.
Model determination coefficient Radj value was 0.9176 and showed that there was linear relationship between the dependent variables and all independent variables.
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The ANN model yielded determination coefficient of (R2 = 0.995), standard deviation ratio (0.065), mean absolute error (4.057) and root mean square error (5.4967).
Through the assimilation of Flickr traces into a hybrid gravity model, the determination coefficient increased from 0.40 to 0.72 for the air transportation network, and from 0.41 to 0.62 for the commuting network.
The models with determination coefficient near 1 comprised 22 to 44 distinct factors.
Specifically, the hybrid ANNs Thomas model showed determination coefficients higher than 0.9 and its average mean square errors are lower, up to 86%, than those obtained with the linear modeling approach.
Kinetics of biosorption results shows that the sorption process is wellexplained by a pseudo-second-order model with determination coefficients of 0.4841 to0.9962 for S-II under all experimental conditions.
In the validation phase of single and multi-step-ahead forecasting, it was determined that the SOM WT FFNN models provide more accurate forecasts than the SOM FFNN models (the determination coefficients for validation of the SOM FFNN and SOM WT FFNN models were 0.80 and 0.93, respectively).
The ANN model yielded a determination coefficient of R2 = 0.989 and could describe the decolorization efficiency under different conditions.
Data calibration curve (0.50 10.00 μg L−1) fitted a linear regression model with a determination coefficient (R2) of 0.998.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com