Sentence examples for both model selection and from inspiring English sources
Both model selection and prediction were performed using an R73 script contained in the WorldPop-InternalMigration-v1 code74 briefly described in the Code availability subsection below.
We show how the operating characteristics can be used for both model selection, and in aiding in the choice of the reject threshold.
Double cross-validation [5]-[19] offers an attractive concept to combine both model selection and model assessment.
Generally, QSAR modelling requires both model selection and validation since there is no a priori knowledge about the optimal QSAR model.
However, problems with convergence limited the analysis of these datasets to slightly smaller subsets for both model selection and parameter estimation analyses.
Generally, improvements in both model selection and parameter estimation analyses were subject to diminishing returns as sample size increased, but much larger sample sizes still led to more accurate parameter estimates and model selection.
We then applied the approach to empirical reaction times from 19 subjects performing an associative learning task, demonstrating that both model selection results and parameter estimates could be replicated across different cue types.
In both cases, model selection and derivative information influences accuracy and efficiency of simulation/design results.
Our analysis considers a broad range of one- and two-population models, and we investigate the influences of sample size on both the power for model selection and the accuracy of parameter estimates obtained from analysis of the AFS.
For each compound in the entire Vss-target dataset (including both the training (model selection) and external datasets), the value of the predicted adipose tissue's log Kt:p descriptor in that compound was modified by adding or subtracting 10% of the current descriptor value, where the decision to perform addition or subtraction was made at random.
They discuss the discovery stages in detail, considering both the theory of model selection and the performance of several algorithms.
