Sentence examples for measure for accuracy from inspiring English sources
As a surrogate measure for accuracy of the genotyping algorithm we evaluated Mendelian consistency in HapMap trios.
The preoperative risk models (logistic EuroSCORE and ACEF score) were tested for accuracy and calibration in predicting the operative mortality using a receiver operating characteristics (ROC) analysis, with the area under the curve (AUC) as a measure for accuracy and the Hosmer-Lemeshow statistics for testing calibration.
The area under the curve (AUC) of the receiver operating curve (ROC) was used as a measure for accuracy, summarizing the sensitivity and specificity for a given test.
Models based on attention measures were compared to models based on activity measures for accuracy, kappa (concordance with clinical diagnosis) and ROC-AUC.
We conducted an analysis of variance with repeated measures for accuracy as well, but there were no significant main effects of cue conditions or flanker type in the three conditions (Table 2).
It is not feasible in practice to validate all but a relatively small sampling of genes by quantitative PCR, thus, surrogate measures for accuracy such as concordance are typically used in comparisons between platforms.
As the first step towards technical qualification, different measures for accuracy of metabolite quantification were calculated using a set of 100 synthetic samples spiked with four selected metabolites: citrate, lactate, glucose, and creatinine in concentrations ranging from 10 to 10,000 μg/mL.
Even if you think you already know your basic measurements, re-measure yourself for accuracy.
If we interpret our MC results as a measure for classification accuracy, our performance is slightly better for handshake but lower for hug and pass object.
We derive a sensible measure for the accuracy of the channel estimates in the presence of additive noise and phase noise and compare the protocols based on this measure.
Area under the curve (AUC) was utilized as a summary measure for diagnostic accuracy of the prediction tools across the gamut of risk groups [21], with 95% confidence intervals (CI).
