<p>The performances of the different classification algorithms as a function of the number of trials.</p
Comparison of the classification performance by the proposed network and other methods.</p
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
Performance statistics of the tested algorithms at different activity levels.</p
<p>Classification performances of the proposed method according to the number applied base classifie...
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
The performance comparison results for the three different classifiers using four indexes.</p
<p>Classification performance of all methods as a function of training set size, for a) first b) sec...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Classification performances of all methods as a function of feature subset size, for a) first b) ...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Classification performance of all methods as a function of feature subset size, for a) first b) s...
Comparison of the classification performance by the proposed network and other methods.</p
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
Performance statistics of the tested algorithms at different activity levels.</p
<p>Classification performances of the proposed method according to the number applied base classifie...
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
The performance comparison results for the three different classifiers using four indexes.</p
<p>Classification performance of all methods as a function of training set size, for a) first b) sec...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Classification performances of all methods as a function of feature subset size, for a) first b) ...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Classification performance of all methods as a function of feature subset size, for a) first b) s...
Comparison of the classification performance by the proposed network and other methods.</p
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
<p>Performance evaluation of various classifier and feature selection methods.</p
DOI
Add to ORKG