Sentence examples for measuring the predictive from inspiring English sources

The second aim of this paper is measuring the predictive power of buy-signals generated by these technical patterns.

Future research requires specific modeling for each target species on a road-by-road basis, and measuring the predictive power of model results within similar landscapes.

Sensitivity and specificity, and thus the AUC, are good indicators of the validity of a method but are not measuring the predictive value of a method [18].

We tested the ability of the algorithm to perform binding inference by training on 650 experimental sub-cavities and then measuring the predictive accuracy on an independent set of 300 different sub-cavities.

In the first prospective RCT directly measuring the predictive value of PGS, the clinical error rate was very low (4%), whereas implantation and delivery rates of euploid embryos were increased relative to the entire cohort of transferred embryos.

Sensitivity-specificity and precision-recall analysis are two approaches to measuring the predictive accuracy of data from two classes given the class labels (referred to here as positive and negative).

MCC = TP × TN - FP × FN (TP + FP ) (TP + FN ) (TN + FP ) (TN + FN ) An MCC-robustness value is used to measure the predictive power and its stability of a classifier, a measurement index for top probes' selection in the MFS.

AIC, defined as deviance plus 2 times the number of predictors, measures the predictive power; a model is estimated to reduce out-of-sample prediction error if AIC decreases.

To improve clinical utility of significant continuous variables, Youden's index was used to calculate the best cutoff value for predicting hypocalcemia.[ 15] The AUC was used to measure the predictive accuracy.

Frank Schmidt, a business professor at the University of Iowa, analysed a century of workplace productivity data to measure the predictive value of various selection processes.

Receiver operator characteristic (ROC) curves of 20 base pair fusion primer set used to measure the predictive performance of dimer algorithms.