Sentence examples for sample the predictive from inspiring English sources

In this sample, the predictive value positive regarding anti-HCV was therefore 20/21 or 95.2% after confirmatory RIBA.

In addition to the disease prevalence in the study sample the predictive values depend on the sensitivity and specificity of the diagnostic algorithm.

Despite reduction to a super-normal current ALSPAC sample, the predictive factors and their strength were about the same as for the previous participants.

We used a GPC, as it provides for each test sample the predictive probability of belonging to each class instead of categorical values (e.g., +1 for Class 1 and –1 for Class 2).

When we validated our model in the 25% validation sample, the predictive accuracy was inferior (overfitting in the training sample from which it derived), but still better than the rest of the scores.

For models examining a single unadjusted spot sample (FMV or non-FMV) and its respective 24-hr sample, the predictive power of the model, defined by the coefficient of determination (R), was highest for FMVs [ R for total DAP metabolites (nmol/L) = 0.54 for FMVs vs. 0.39 for non-FMV spots].

The Taguchi orthogonal array is employed for the operating points determination of training data; then, based on the same training data, which contain only 25 samples, the predictive performances of ANN and SVM are evaluated and compared.

In the absence of a second independent set of samples, the predictive performance of miR-200b + miR-200c was tested by leave one out cross validation analysis and resulted in an identical ROC-AUC.

Overall, considering the 111 Test Set samples with low leukemic blast load and/or suboptimal quality control criteria, whether being peripheral blood or bone marrow samples, the predictive capacity of the GGA-derived model with 10-marker classifiers was encouraging, with specificities ranging from 0.98 to 1.00, and sensitivities ranging from 0.91 to 1.00.

Prediction models tend to overfit the development sample, and the predictive validity of these variables should be tested in other, larger samples.

Unfortunately, interpretation of a raw ensemble forecast as a sample from the predictive distribution of interest is generally not justified because the raw ensembles exhibit both bias errors and (most frequently, under-) dispersion errors.