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The quality of regression model equations was evaluated using the analysis of variance (Minitab16).
Quality of regression model tested with Hosmer-Lemeshow test indicating good calibration (χ2 = 7.014; P = 0.535).
Quality of regression model tested with the Hosmer-Lemeshow test, indicating good calibration (χ2 = 4.672; P = 0.792).
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To choose the most suitable kinetic expression, different statistical indices can also be used to determine the quality of regression models.
Quality of regression models was assessed with Hosmer-Lemeshow tests for model calibration.
Number of regression model parameters, plus one.
Using this property gives an insight in the quality of our regression model: Anchor nodes at the extremities of the building have their maximum accuracy at the geometric means of the minimum calculated distance (around 4 m) and the maximum calculated distance (around 83 m) or about 18 m.
In order to ascertain whether the time to a patient's death influenced their quality of life, a series of regression models were fitted in Stata.
The quality of the regression model was assessed statistically by the coefficient of determination R2.
Therefore, molecular descriptors markedly affect the quality of a regression model [36 38].
Compared with other machine learning methods, including genetic algorithm (GA), support vector machine (SVM) and back propagation neural networks (BPNN), GRNN can better reduce the training time while guaranteeing the quality of the regression model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com