<p>Comparison of the average precision rates, recall rates and F1 values for the different classification algorithms.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
Comparison of accuracy of best machine-learners on various feature categories.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
<p>Comparison of classification rates between the proposed method and other methods.</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...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Recall value comparisons for different clustering algorithms using the overlapping technique.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Comparison of average classification results of different classifiers without using light intensi...
<p>Classification Accuracy of Different Comparative Algorithms on Gas Dataset.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
Comparison of accuracy of best machine-learners on various feature categories.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
<p>Comparison of classification rates between the proposed method and other methods.</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...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Recall value comparisons for different clustering algorithms using the overlapping technique.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Comparison of average classification results of different classifiers without using light intensi...
<p>Classification Accuracy of Different Comparative Algorithms on Gas Dataset.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
Comparison of accuracy of best machine-learners on various feature categories.</p
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