<p>Comparisons of the performances of different methods by MCCs [Average difference (P value)].</p
<p>Comparison of the performance by different methods on IRMA benchmark dataset.</p
<p>Comparison of results from our analyses and from two MetaPhlAn based analyses.</p
<p>Comparison of RMSEs obtained with the one-step versus the two-step ABC method.</p
Comparison of the performance of the four methods under the four distributions data.</p
<p>Comparison of accuracy and precision of different methods based median and standard deviation of ...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Comparing the performance of the proposed method with other existing methods.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>Comparison of the measurements between the three models, for each measurement.</p
<p>Comparison of the empirical power for the top 3 methods for two-sided tests.</p
<p>Comparison of the mean average precision of the MLLE, LLE, MSE, PCA and LE methods.</p
<p>The comparison of the real weights and the weights estimated from different methods.</p
<p>Results of t-tests (p-values) for comparison of mean performance measures.</p
<p>Comparison of the performance by different methods on IRMA benchmark dataset.</p
<p>Comparison of results from our analyses and from two MetaPhlAn based analyses.</p
<p>Comparison of RMSEs obtained with the one-step versus the two-step ABC method.</p
Comparison of the performance of the four methods under the four distributions data.</p
<p>Comparison of accuracy and precision of different methods based median and standard deviation of ...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Comparing the performance of the proposed method with other existing methods.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>Comparison of the measurements between the three models, for each measurement.</p
<p>Comparison of the empirical power for the top 3 methods for two-sided tests.</p
<p>Comparison of the mean average precision of the MLLE, LLE, MSE, PCA and LE methods.</p
<p>The comparison of the real weights and the weights estimated from different methods.</p
<p>Results of t-tests (p-values) for comparison of mean performance measures.</p
<p>Comparison of the performance by different methods on IRMA benchmark dataset.</p
<p>Comparison of results from our analyses and from two MetaPhlAn based analyses.</p
<p>Comparison of RMSEs obtained with the one-step versus the two-step ABC method.</p
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