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It is used as an additional, more reliable information in resolving complicated classification situations.
The efficiency of SVM in classification is directly determined by the number of the support vectors used, which is often huge in the complicated classification problem in order to represent a highly convoluted separation hypersurface for better nonlinear classification.
However, in drug design process, the property-based filters, such as the Lipinski's Rule-of-Five [2] and the Opera's rules of drug-likeness [3], are much more popular than the more complicated classification models because they can be easily understood and utilized by scientists besides the computational chemists.
However, the SVM uses a complicated classification model with a low possibility for biological interpretation.
Besides these, a more complicated classification system has been proposed which is based on either serological relationships or sequence similarities or both as well as their evolutionary relationships.
The test accuracy of support vector machine (SVM) using a complicated classification method with a low possibility for biological interpretation and position-specific substitution matrix (PSSM) as a protein feature is 80.56%, thus SCMMTP is comparable to SVM-PSSM.
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In addition, hybridization might further complicate classification as hybrids can display unusual morphologies.
Promoter methylation-mediated gene silencing is strongly dependent on the location of the methylated CpGs, complicating classification.
The inclusion of the pine plots with ≥ 95%% species proportion also complicated the classification and lowered the success rates.
The prosthetic knee is one of the key elements in the design of the modular prosthesis and the appearance of new mechanisms together with the proliferation of knees has complicated its classification and prescription.
A scenario containing a high amount of outliers, as depicted in Fig. 1, complicates the classification considerably.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com