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Relative correspondence of imputed classes to those assigned through observation (e.g., similarity to the true classification; precision) is roughly 87%.
The main requirements for a true classification system capable of solving rock-engineering problems are as follows.
This may be because we are using a regression technique to simulate classification rather than a true classification technique.
Therefore, all true classification is genealogical, and genealogy becomes based upon the inheritance of traits through the blood line.
In addition, the predicted results of individual classifiers are combined together, using optimized genetic algorithm and simple majority technique in order to enhance the true classification rate.
In this regard, an intelligent automatic recognition model is developed in order to enhance the true classification rate of sub-Golgi proteins.
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The poor reliability limits true classifications of learning outcomes, because students who have been classified as failures, and who are therefore denied certain positions within the professional community, easily could be misclassified.
Accuracy was used as measurement for the proportion of true classifications by DeconSeq and calculated for thresholds of 95% query coverage and varying alignment identity.
proportion of true classifications using the ranges from Raftery [ 13] are shown for comparison.
Precision was calculated as the ratio of true classifications of cellular drug sensitivity to all positive classification results.
However, the true classifications are generally more robust to variations in input sequences or alignment parameters of MSA than the false classifications [ 20].
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