Sentence examples for maximized the predictive from inspiring English sources

The size, q, of the subset that maximized the predictive ability was selected as the optimum number of marker effects to be used in subsequent analyses.

Determining a cut-off for the baseline PANSS score that maximized the predictive value of this assessment tool could help clinicians optimize treatment.

Here, we determined the optimal bandwidth parameter using a grid search approach under cross-validation, aiming at finding a value that maximized the predictive correlation within a model setting.

Specifically, we use the penalty strength that maximizes the predictive correlation in within-cohort prediction in Croatia.

Modeling techniques are then aggregated to maximize the predictive power of the wellness score.

This is why we wanted to optimize and maximize the predictive value of the initial evaluation to establish a thinner selection of cirrhotic candidates for admission in ICU.

The reason is that the selection aims to maximize the predictive power of the covariates, which is captured by the reduced forms rather than by the equation of interest (9).

It is worth noting that the role of the propensity score model specification is not to maximize the predictive capability of the model but to balance the distribution of relevant pre-treatment covariates between treated and untreated individuals.

The ROCmax method may be preferable when injuries have been recorded using ICD-10-CM, subjects are similar to those in NTDB, and the user wishes to maximize the predictive power of ISS.

Leave one-out cross-validation generally leads to an overestimation of predictive capacity, and even with external validation, no one can be sure whether the selection of training and test sets was manipulated to maximize the predictive capacity of the model being published.

The search process is based on a four-objective optimization problem that minimizes the number of selected predictors, maximizes the predictive accuracy of a data-driven model and optimizes two information theoretic metrics of relevance and redundancy, which guarantee that the selected subsets are highly informative and with little intra-subset similarity.