Classification results for the four different feature sets (sensitivity/specificity), with 19 features selected.</p
The influence of three levels of feature selection methods on the effect of feature set.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Results of the four classifiers for both the accuracy and f1-score when using a different number of ...
<p>Comparison of sensitivity by different methods on four binary classification data sets.</p
<p>Comparison of specificity by different methods on four binary classification data sets.</p
<p>Comparison of the classification results of original and selected features.</p
The average attributes value of four feature selection algorithms based on eight datasets.</p
The performance comparison results for the three different classifiers using four indexes.</p
The details of the features processed by three levels of feature selection methods.</p
A list of all 64 variables used in the features selection along with the best features of size 15 an...
<p>The classification accuracy for various feature subsets, averaged over all the class definitions....
<p>A) The relationship between the Accuracy and number of features. B) The relationship between the ...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>The number of features in each category or set is given in parenthesis. Accuracy (ACC), specifici...
<p>Comparison of classification results obtained through 5-fold cross validation with respect to dif...
The influence of three levels of feature selection methods on the effect of feature set.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Results of the four classifiers for both the accuracy and f1-score when using a different number of ...
<p>Comparison of sensitivity by different methods on four binary classification data sets.</p
<p>Comparison of specificity by different methods on four binary classification data sets.</p
<p>Comparison of the classification results of original and selected features.</p
The average attributes value of four feature selection algorithms based on eight datasets.</p
The performance comparison results for the three different classifiers using four indexes.</p
The details of the features processed by three levels of feature selection methods.</p
A list of all 64 variables used in the features selection along with the best features of size 15 an...
<p>The classification accuracy for various feature subsets, averaged over all the class definitions....
<p>A) The relationship between the Accuracy and number of features. B) The relationship between the ...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>The number of features in each category or set is given in parenthesis. Accuracy (ACC), specifici...
<p>Comparison of classification results obtained through 5-fold cross validation with respect to dif...
The influence of three levels of feature selection methods on the effect of feature set.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Results of the four classifiers for both the accuracy and f1-score when using a different number of ...
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