<p>Assessment of the performance of PB-kPRED and comparison with other previously reported methods.</p
<p>Comparison of the performance by different methods on IRMA benchmark dataset.</p
Comparison of the classification performance by the proposed network and other methods.</p
<p>Comparisons of the performances of different methods by MCCs [Average difference (P value)].</p
<p>Assessment of the performance of PB-kPRED using the <i>hybrid method with noise filtering scheme<...
<p>Comparing the performance of the proposed method with other existing methods.</p
Diagnostic performance of the different tests using the KK technique as reference.</p
<p>The performance of our method and other existing methods on PDB186 dataset.</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Analytical performance comparison of the purposed method with the recent literature reported dete...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>The assessment results of the proposed model in comparison with the all other thirteen methods ba...
<p>The assessment results of the proposed model in comparison with the all other thirteen methods ba...
Comparison of the performance of the four methods under the four distributions data.</p
Comparison of the proposed method with other conventional methods for throughput of each class.</p
<p>Comparison of the performance by different methods on IRMA benchmark dataset.</p
Comparison of the classification performance by the proposed network and other methods.</p
<p>Comparisons of the performances of different methods by MCCs [Average difference (P value)].</p
<p>Assessment of the performance of PB-kPRED using the <i>hybrid method with noise filtering scheme<...
<p>Comparing the performance of the proposed method with other existing methods.</p
Diagnostic performance of the different tests using the KK technique as reference.</p
<p>The performance of our method and other existing methods on PDB186 dataset.</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Analytical performance comparison of the purposed method with the recent literature reported dete...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>The assessment results of the proposed model in comparison with the all other thirteen methods ba...
<p>The assessment results of the proposed model in comparison with the all other thirteen methods ba...
Comparison of the performance of the four methods under the four distributions data.</p
Comparison of the proposed method with other conventional methods for throughput of each class.</p
<p>Comparison of the performance by different methods on IRMA benchmark dataset.</p
Comparison of the classification performance by the proposed network and other methods.</p
<p>Comparisons of the performances of different methods by MCCs [Average difference (P value)].</p
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