<p>Overall performance results for the benchmark dataset using four different methods and consensus approach (N/A: not available cases).</p
The performance comparison results for the three different classifiers using four indexes.</p
<p>The performance of different methods in terms of in terms of Se, Sp, Acc and Auc.</p
Performance comparison of the proposed method with state-of-the-art methods on the Wang-A dataset (v...
<p><sup>a</sup> Number of alignments.</p><p>Note that the results shown are based only on alignments...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Comparison of the performance by different methods on IRMA benchmark dataset.</p
<p>The performance of our method and other existing methods on PDB186 dataset.</p
<p>The assessment results of the proposed model in comparison with the all other thirteen methods ba...
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Performance comparison of standard ALM results and 10-fold cross-validated (CV) ALM results.</p
Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...
<p>Analytical performance comparison of the purposed method with the recent literature reported dete...
<p>The assessment results of the proposed model in comparison with the all other thirteen methods ba...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Comparison of the performance of the four methods under the four distributions data.</p
The performance comparison results for the three different classifiers using four indexes.</p
<p>The performance of different methods in terms of in terms of Se, Sp, Acc and Auc.</p
Performance comparison of the proposed method with state-of-the-art methods on the Wang-A dataset (v...
<p><sup>a</sup> Number of alignments.</p><p>Note that the results shown are based only on alignments...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Comparison of the performance by different methods on IRMA benchmark dataset.</p
<p>The performance of our method and other existing methods on PDB186 dataset.</p
<p>The assessment results of the proposed model in comparison with the all other thirteen methods ba...
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Performance comparison of standard ALM results and 10-fold cross-validated (CV) ALM results.</p
Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...
<p>Analytical performance comparison of the purposed method with the recent literature reported dete...
<p>The assessment results of the proposed model in comparison with the all other thirteen methods ba...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Comparison of the performance of the four methods under the four distributions data.</p
The performance comparison results for the three different classifiers using four indexes.</p
<p>The performance of different methods in terms of in terms of Se, Sp, Acc and Auc.</p
Performance comparison of the proposed method with state-of-the-art methods on the Wang-A dataset (v...