Sentence examples for measure the predictive from inspiring English sources

Part 1: predicting deliberate self-harm using a cross-sectional measure The predictive value of a cross-sectional measure (initial distress; DI-5 day 1) on deliberate self-harm in the final sample (N = 928), was compared with the predictive value of the DI-5 groups (days 1 to 7).

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.

Harrell et al. [ 14] proposed the C index to measure the predictive ability of a model in cohort studies as the agreement between the order of the predicted and observed survival times in any pair of subjects (the event of interest is assumed to be death, leading to the use of survival terminology).

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.

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.

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].

In this paper, we constructed a risk model to simulate the clinical information available to the treating clinician and then statistically measured the predictive benefit of adding the information from plasma HBP through cfNRI, IDI and improvement in ROC area.