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The proposed methodology significantly increased the classification accuracy achieved with a spectral maximum likelihood classifier (ML).
As the number of pcs is increased, the classification accuracy improves with ranking.
Increasing the channels to eight increased the classification accuracies to 96.68 and 93.25 %, respectively, at the expense of decreasing the convenience of the system user.
The use of two text-similarity-recognition programs also improved the rate of detection and, in some theses, significantly increased the classification of the gravity of the plagiarism encountered.
In fact, as the value of (L_{s}) was increased, the classification performance of the SNB model plunged, whereas the classification performance of the LCMNB remained less "sensitive" (in comparison to SNB) to the notably high values of (L^{s}).
The high performance of the proposed method with chunk size of 50 proves that RBF-TSS has increased the classification accuracy over previously described TSS prediction algorithms, and performs well with high locality precision.
Similar(47)
A noise feature is one that, when added to the document representation, increases the classification error on new data.
In particular, the proposed approach helps to increase the classification accuracy, while enhancing classification efficiency by requiring considerably less features.
In order to increase the classification accuracy and eliminate redundant features, a hybrid feature selection algorithm is proposed.
The proposed features can increase the classification accuracy and decrease the rate of missing and misdiagnosis in thyroid cancer control.
The paper focuses on how to construct a successful set of classifiers, which periodically collaborate, to increase the classification accuracy.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com