Sentence examples for maximize prediction accuracy from inspiring English sources

Here, a recursive "switch-back" method is constructed to maximize prediction accuracy of the model.

Because our approach can be readily applied to any number of GWAS datasets of correlated traits, it is a flexible and powerful tool to maximize prediction accuracy.

To this end, we propose a novel combination of feature extraction, selection and classification strategies which may maximize prediction accuracy for brain state classification.

In order to maximize prediction accuracy, the features extracted from the data must have as much discriminatory power as possible, the feature selection must reliably eliminate, in a computationally efficient manner, the features that do not possess the discriminatory power and the classifier must be able to exploit the discriminatory power available in the selected feature space.

For the selected p covariates that maximize prediction accuracy, MDR gives two important scores: the mean prediction accuracy and the cross-validation consistency.

While the Turner parameters are based almost exclusively on thermodynamic measurements, there has been increasing interest in optimizing parameters such as to maximize prediction accuracy, see e.g. [ 69].

In addition, as was developed for linear IGE models (Bijma 2010; Ødegård and Olesen 2011; Anche et al. 2014), further research in optimizing experimental designs using group size and composition to maximize prediction accuracies is warranted.

When genotyping is free or h p l o t 2 is high, allocating resources to a larger population maximizes prediction accuracy.

In particular, visual validation should not be used to maximize the prediction accuracy on a single test set, as this would most likely not improve the predictivity of the (Q SAR model.

The proposed scoring features are derived both from tested as well as novel approaches to maximize the prediction accuracy of functionally-relevant interactions, and to efficiently filter out random or irrelevant interactions.

The two selected factors are those that maximize the prediction accuracy among all pairs of factors.