<p>Comparison of average classification results of different classifiers without using light intensity scaling feature ().</p
<p>Comparison of classification accuracies with and without the ancillary data.</p
The performance comparison results for the three different classifiers using four indexes.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
<p>Comparison of the classification results of original and selected features.</p
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>Comparison of the recognition rates of the proposed method with some popular classifiers in the l...
<p>Overall performance comparison against each classifier for Drebin Dataset.</p
<p>Comparison of classification rates between the proposed method and other methods.</p
<p>Comparison of classification accuracies with and without the ancillary data.</p
The performance comparison results for the three different classifiers using four indexes.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
<p>Comparison of the classification results of original and selected features.</p
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>Comparison of the recognition rates of the proposed method with some popular classifiers in the l...
<p>Overall performance comparison against each classifier for Drebin Dataset.</p
<p>Comparison of classification rates between the proposed method and other methods.</p
<p>Comparison of classification accuracies with and without the ancillary data.</p
The performance comparison results for the three different classifiers using four indexes.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
DOI
Add to ORKG