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The level of genetic differentiation (Fst) between populations is found to be a useful predictor of the performance of assignment methods [ 55].
Performance of purebred parents can be a poor predictor of the performance of their crossbred descendants in the presence of non-additive gene action or genotype by environment (G × E) interaction.
Due to genetic differences between purebred and crossbred animals and to environmental differences between nucleus and field conditions, performance of purebred parents can be a poor predictor of the performance of their crossbred descendants [ 1].
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Experimental results on the BetaSheet916 dataset showed significant improvements of the proposed method in both execution time and the prediction accuracy in comparison with the state-of-the-art β-sheet structure prediction methods Moreover, we investigate the effect of different contact map predictors on the performance of the proposed method using BetaSheet1452 dataset.
Direct recommendation by the family physician has been described as one of the strongest predictors for the performance of CRC screening, while the non-involvement of this level of care in the recommendations is one of the main reasons for it not being carried out [ 36, 37].
The area under the curve (AUC) provides an estimate of the performance of the predictor that ranges from 0.5 for an equal chance to 1 for a perfect predictor (see Figure 2c).
These are items that method developers should include in articles, or as supplement to articles, as they enable effective comparison and evaluation of the performance of predictors.
The nonparametric bootstrap method of estimating standard error [ 14] was used to estimate the variance of the performance of a predictor developed on a training set of size t and applied to a test set of size n - t.
The F-score is the harmonic mean of sensitivity and precision and is a widely used metric in machine learning research for providing a balanced assessment of the performance of a predictor.
This is complemented by a comparative evaluation of the performance of these predictors.
In this case, how can the reliability of the performance of a consensus predictor be estimated?
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