The average attributes value of four feature selection algorithms based on eight datasets.</p
<p>Properties of the eight datasets used in testing performance of algorithms for OTU delineation.</...
The details of the features processed by three levels of feature selection methods.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
A list of all 64 variables used in the features selection along with the best features of size 15 an...
<p>The numbers and the averages of most important alleles (fragments) selected by different attribut...
Classification results for the four different feature sets (sensitivity/specificity), with 19 featur...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Average selection features size for the chaotic and native ALO over all the data sets.</p
<p>The number of features in the optimal feature set for each dataset and the MCC values obtained by...
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
<p>Average selection features size for the chaotic and native GWO over all the data sets.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>Feature Selection (mean±std over 100 10-fold cross-validations, i.e. 1000 classification models)....
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
<p>The attribute weighting models and the numbers of important protein features selected by each mod...
<p>Properties of the eight datasets used in testing performance of algorithms for OTU delineation.</...
The details of the features processed by three levels of feature selection methods.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
A list of all 64 variables used in the features selection along with the best features of size 15 an...
<p>The numbers and the averages of most important alleles (fragments) selected by different attribut...
Classification results for the four different feature sets (sensitivity/specificity), with 19 featur...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Average selection features size for the chaotic and native ALO over all the data sets.</p
<p>The number of features in the optimal feature set for each dataset and the MCC values obtained by...
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
<p>Average selection features size for the chaotic and native GWO over all the data sets.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>Feature Selection (mean±std over 100 10-fold cross-validations, i.e. 1000 classification models)....
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
<p>The attribute weighting models and the numbers of important protein features selected by each mod...
<p>Properties of the eight datasets used in testing performance of algorithms for OTU delineation.</...
The details of the features processed by three levels of feature selection methods.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
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