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Experiments demonstrate that comparing with earlier ABC algorithms, our method have great improvement on convergence rate, and better parameters are obtained which lead to higher classification accuracy.
Experiments demonstrate that D-ABC algorithm has better performance than traditional methods for this optimizing problem, and better parameters of SVM are obtained which lead to higher classification accuracy.
The integrated profiling of two independent datasets lead to higher classification accuracy (71.11% vs. 70.59%) and larger ROC curve area (0.789 vs. 0.767) of the testing samples.
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Traditionally, feature selection methods are designed to obtain a feature subset that can lead to high classification accuracy.
A properly selected feature set, not only leads to higher classification accuracy, but also results in a faster computation and reduction in storage capacity.
And lower expenses lead to higher profits.
Speeding could also lead to higher premiums.
Then higher costs lead to higher prices.
Higher grades usually lead to higher salaries.
Using arbitrary definitions of "abnormal" may, however, lead to high rates of false-positive classification (i.e. classifying a segment as having LSI, when in fact it is within a "normal" range), as seen in the high positive classification rates for asymptomatic subjects [ 7, 16, 50].
It can lead to high intracranial pressure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com