Moreover, ignoring this dependence may inflate genomic prediction accuracy, and therefore the benefit of genomic information, but it is unlikely to affect the relative value of CB vs PB records in the reference population.
In particular, it has been pointed out that they can be inflated for miscalibrated prediction models whereas the AUC may not be.
According to several oil and gas industry lawyers, the subpoenas are in response to articles published in June in The New York Times, which showed that a range of industry and federal officials had questioned whether shale gas companies might be playing down costs or inflating their predictions about well performance.
The identification of split ORFs that inflated automated ORF predictions, coupled with lack of single contigs despite high coverage for both LSU and LSU-Lb genomes, suggests that the high repeat content of R. felis genomes is difficult to resolve with current, short-read sequencing technology.
The perils of inflated prediction-accuracy estimations by incorrectly or incompletely performed cross-validation are well known (Molinaro et al., 2005; Subramanian and Simon, 2010; Simon et al., 2011; Varma and Simon, 2006).
The prediction errors, inflated by the outliers, are not reliable measures of how well the robust model fits the data.
Expansion of the prediction to fully cover the eight-histidine motif [ 25] did not yield consistent models, as inclusion of further transmembrane regions inflated dimensionality of structure prediction.
It is worth noting that predictions were not inflated by population stratification or founder effects.
We confirmed that predictions were not inflated by population stratification or founder effects.
By inclusion of test subjects in the feature selection process, the prediction accuracies were artificially inflated to a range of 73%to81%1%.
Simulations using the original dosing records are usually inappropriate in this setting because the simulation scenarios often contain much higher and lower responses than those observed with the index data, producing prediction intervals that are inflated and potentially biased.
