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If one considers only those models that were created strictly using the classification task, that is, without adapting word models, ensemble methods perform significantly better.
While all covariate shift adaption methods perform significantly better (p<0.05) than the baseline method without covariate shift adaption, the accuracies with the proposed method are significantly higher than with the other two tested covariate shift adaption methods (p<0.005).
Except for SNAP2noali, all methods perform significantly worse for orphans and, in some cases, at the level of throwing a coin.
Although homology and signature-based methods perform significantly better on longer contigs, the sample-specific distribution of contig lengths introduces a bias towards more abundant species, which complicates the comparability of samples.
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On simulated data, our methods performed significantly better than existing methods across a wide range of contrast-to-noise ratios and feature prevalence rates.
All pre-selection methods performed significantly worse than the optimal sets.
All four AI methods performed significantly better than the ACC/AHA guidelines..
The results show that all of the considered methods performed significantly better when using the first input combination.
Our investigations did not yield similarly promising results with this method, and although the smaller cox2-fragment could be obtained when using the best-suited polymerase, other DNA extraction methods performed significantly better.
All state-of-the-art methods performed significantly better on pre-processed frames than raw frames.
All methods performed significantly better for effect than for neutral variants.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com