Sentence examples for model validation indicated from inspiring English sources

Exact(4)

Model validation indicated that the model accurately depicts the diurnal course of radiation reaching the trench floor in both north-south and east-west orientated trenches in both summer and winter.

The model validation indicated the reliability of the model for addressing the complexity of current agricultural land use changes and its capacity for investigating long-term scenarios in the future.

When model validation indicated normality, but heterogeneity of variances, relationships were defined using linear regression to which a generalised least squares estimation procedure [45] was applied, as detailed in [43].

Model validation indicated that sensitivity and specificity were both >95%.

Similar(56)

The statistics of prediction residuals and tests of model validation indicates that these were also the models with better predictive capability.

The proposed model validation indicates an excellent adjusted correlation coefficient and lower errors based on analysis of variance (ANOVA) using approximately 1000 routine core and well log dataset from the four distinct environments of deposition.

Results from model validation indicate reasonable spatial and temporal predictions of streamflow, suggesting that a multi-site calibration strategy is necessary to accurately predict spatial variation in watershed hydrology.

Model validations indicated 95% agreement between the experimental results and the predicted responses.

Nevertheless, all of our map and model validations indicate that the final map is of good quality that does not suffer from major deformations (for example stretching of the maps as observed in some examples of density maps from 2D crystals).

Model cross-validation indicated good discrimination of fire-prone parts of the world, with tests showing sub-models of both the FIRENPP and FIREnoNPP ensembles to be significantly better than random.

The external validation indicated that our QSAR model possessed high predictive power (R2=0.70).

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