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However, it is the fact that many other problems contain very large numbers of features and data samples, e.g., text classification.
ANN and GLM techniques tend to be more sensitive to the inclusion of noisy features, but the SVM technique is more robust under large numbers of features for measures of model precision and accuracy.
These observations would be consistent with SVM techniques tending to result in large numbers of features for robust models while ANN and GLM techniques would not be robust under those larger feature set scenarios, but would instead be better suited to smaller numbers of features that contain less noise.
Large numbers of features are recognized as artifact, isotope, salt and multiply charged ions and removed from the metabolite identification process.
This focus only on relationships to one central feature, rather than between all of them, also typically enables classifiers to scale more easily to large numbers of features.
Supplementary Table S1 lists the numbers of features for each category, showing large numbers of features for BP, MF, CC and domain D (For PPI, we only have four features).
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In this market, do customers care about a large number of features?
Classification with thousands of classes and a large number of features is often computationally intractable.
The thing that we notice here is that in order to use discriminate these kinds of features, we actually need as very large number of features, not few.
Building such models involves a multitude of decisions, and the large number of features that need to be taken into account can overwhelm the researcher.
The algorithm developed removed a large number of features from the original data sets without reducing the classification accuracy of the committees.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com