For both wood and growth traits, removing information quality (closeness of relatedness, Table 5) and quantity (number of markers, Table 6) between cross-validation sets weakened prediction accuracies, emphasizing the importance of close relatedness when making predictions across environments.
In March, the agency warned that insufficient funds budgeted for its next generation of polar orbiting satellites could potentially weaken the accuracy of its weather forecasting, especially pertaining to severe events such as blizzards and hurricanes.
Since glucose, triglyceride levels and, to some extent, total cholesterol are affected by recent food intake, this weakens the accuracy and precision of these measurements.
In any health informatics system (or research study), the absence of data fundamentally weakens the accuracy and reliability of that system.
Some limitations can, however, weaken the accuracy of the new score; patients may have difficulty in defining the time of onset of symptoms, and physician's report on the severity of guarding can be uncertain with inexperienced providers.
The 20% censorship weakens the accuracy only slightly compared to the fully observed Gaussian phenotype: no more than one point if the threshold model is used, and 1 2 points if the Gaussian model is used directly for the censored phenotype.
German air defenses were weakened, and the accuracy of Allied bombing was increasing.
If the gain of HGO is not chosen too high, the peaking phenomenon will be weakened and the accuracy of the estimated system states can still be guaranteed for learning from robot manipulators control.
Though the enhancement in prediction accuracy weakens, it was still significant for some kinase families.
Finally socio-economic status linked to an area is not static over time and we have used the 2006 SEIFA codes over a period that spans 2005 to 2012 again potentially weakening the relative accuracy of imputed socio-economic status.
However, RFs can increase the prediction accuracy as compared to single CART tree, because the ensemble adjusts for the instability of the individual trees induced by small changes in the learning sample, which weakens the prediction accuracy in test samples [ 22].
