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A quality assurance system (QAS) is designed and used to inspect product quality, determine causes of abnormal by collecting, analyzing and testing data from the product line, and then determining how an improvement plan should be conducted.
A 3D model was developed and validated using testing data from the engineering project.
There were also 2 months with missing testing data from the same prison.
We generated three sets of testing data from the HapMap Phase III specific samples.
Notice that this testing approach separates the testing data from the training data when a model is built and hence avoiding the over-fitting situation.
Using these SNPs we develop two predictive models that can classify cases and disease-free controls with an accuracy of 0.81 area under the ROC curve, as verified in independent testing data from the same cohort.
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The simulation and prediction results of the developed model are compared with the experimentally tested data from 3 case studies.
When we use cross-validation, the predictions of the testing data from all the folds are jointly considered to compute the correlation.
The test data from the second beta release of Vista alone generated 5.5 petabytes of information — the equivalent of the storage capacity of 690,000 home PC's.
Secondly, SoVeLAB reads the borehole and refraction microtremor test data from the GIS database.
In Section 3, the training and test data from the REVERB Challenge is analysed.
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