Sentence examples for optimized the predictive from inspiring English sources

In certain cases, higher cutoff values produced larger relative risks, but at the expense of large numbers of false-negatives and extreme confidence intervals; therefore, we have reported the maximum relative risks corresponding to a cutoff range that optimized the predictive value of the assay.

Landis, SC, et al. (2012) A call for transparent reporting to optimize the predictive value of preclinical research.

An attempt is made to optimize the predictive power of FLAG through the inclusion of geological and vegetation data.

Experiments were also performed using the MC4PC multiple module prediction technology, and ROC statistics, and adjustments to the ratio of active to inactive (A/I ratio) chemicals in training data sets were made to optimize the predictive performance of QSAR models.

We determined the threshold via optimizing the predictive power in LOOV.

Hence, it is interesting to explore whether the UPDS datasets should be preferred over the similarity-reduced counterparts to avoid any potential loss of useful information due to the elimination of highly similar peptides in a setting where the goal is to optimize the predictive performance of the classifier on novel peptides.

Wrapper methods iteratively perform combinatorial biomarker search aiming to optimize the predictive power of a classification model.

Cross validation technique is useful when the goal is to optimize the predictive power of the model but not specifically in the case of variable selection.

The researchers devised a machine-learning algorithm that is based on a gradient-boosting regression methodology, in which thousands of decision trees were derived to optimize the predictive value of the overall model.

Our proposed approach is based on a discriminative probabilistic model known as conditional random fields that explicitly optimizes the predictive probability of motif presence in large sequences, based on the joint effect of all such features.

Finally, despite the SuperLearner procedure, which is intended to optimize the prediction, our predictive performance was in fact limited, with an AUROC of 0.760 955% CI 0.694, 0.826) for the SuperLearner weighted algorithm.