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The profiles included 141 miRNA species, of which 51 were selected in the feature selection step.
A subset of SNPs is selected by employing linear SVM in the Feature Selection Algorithm.
A subset of SNPs is selected by employing non‐linear SVM in the Feature Selection Algorithm.
(i)Choosing the feature selection technique.
In the feature selection community, filters are quite popular.
The feature selection was done in this inner CV.
The feature selection can be improved by modifying the AdaBoost.
The feature selection process based on DET is briefly introduced.
As a result, the feature selection method improves the effectiveness and efficiency of the classification method.
The feature selection was carefully performed only on training data.
The feature selection approach is based on Support Vector Machines (SVMs) with a linear kernel.
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