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Given those results, the hypothesis here was that the rest of the genome has much lower predictive ability than the region on SSC4.Accuracies of predictions based on SNP WUR10000125 and GEBV for the rest of the genome excluding the SSC4 region are shown in Figure 6A and B for VL and WG.
By comparison, the GC-TOF mass spectrometry metabolites resulted in a model with much lower predictive performance (average testing AUC of 0.70) than the LC-ECA metabolites or Luminex proteins.
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The two remaining factors (BMI and MS Physical Impact) had much lower, although significant, predictive value.
However, the negative predictive value of specific airway resistance response on methacholine as determined with WBP would be much lower with a negative predictive value of 97.8%.
This shows a substantial effect of cancer burden for BRCA2 with high-risk families (scores above 20 points) having a much lower proportion of positive predictive tests after 50 years.
While the negative predictive value of scores and predicting rules is up to 95to99%9%, the positive predictive value is much lower, ranging between 10 and 60%.
Random Forest constructed a better predictive model than multinomial logistic regression, showing comparable predictive uncertainty but much lower validation error.
Again, both signs have a high positive predictive value but much lower sensitivity [12].
In almost all cases, the total improvement of predictive models was much lower for MACCS fingerprints (Table 1).
If the assumption of conditional independence is used (i.e. covariances are fixed at zero) the parameter estimates change only slightly but the DIC for this model increased to 82.02 suggesting a much poorer model fit and a lower predictive ability, so this model was not considered further.
Positive predictive values were much lower, 4%95%5% CI 1-121-12nd 3% (95% CI 0-100-10%r QFT-GIT and TST respectively.
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Justyna Jupowicz-Kozak
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