Sentence examples for best predictive model of from inspiring English sources
A network with 10 neurons and a tansig transfer function in both the input and output layers was found to be the best predictive model of all of the models evaluated.
The model that combined the total length of the tassel and the total number of spikelets was found to be the best predictive model of the relative pollen production between varieties.
The classification error of the best predictive model of 12.80% as well as disturbance factors such as channels and areas with weeds or ruderal vegetation lead to misclassifications of BBCH macro-stages at the landscape level.
The best predictive model of V (using only LiDAR variables as possible components) included the standard deviation in LiDAR heights (Hsd) and the percentage of first returns from the vegetation (PCveg).
Using all available variables the best predictive model of V included Hsd, PCveg and stand density (S) in the following formulation, V = 7.08 + 0.0690 H sd − 0.0423 P C veg + 0.893 1 − exp − 0.00691 S (6).
Stepwise, univariate general linear model analysis was used to determine the best predictive model of each SF-36 subscale score (dependent variables).
The quadratic model was found to be the best predictive model for describing the cooking behavior of rice.
The aims of this study were to compare published models of neonatal pharmacokinetics of morphine and its metabolites with a new dataset, and to combine the characteristics of the best predictive models to design a meta-model for morphine and its metabolites in preterm neonates.
The best predictive models for up to 4 orders of interaction, along with their cross-validation consistency (CVC) and testing balanced accuracy (TBA), are summarized in Table 3.
The 2006 turbidity prediction model was selected as the best predictive model because of its ability to predict turbidity within the acceptable error range and required confidence interval.
The best predictive model contained a model of nitrate leaching but no land use information, implying that changes in land use will not affect designations based upon this model.
