<p>Comparison of the mean average precision of the MLLE, LLE, MSE, PCA and LE methods.</p
<p>Comparison of sensitivity, specificity and DOR for MLLE, LLE, MSE, LE and PCA on IRMA category 4....
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
<p>Comparison of the interpolation accuracies achieved using MSE, MAE and MRE based on a cross-valid...
<p>Comparison of accuracy and precision of different methods based median and standard deviation of ...
<p>Mean average precision values of the proposed MLLE evaluated with different </p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison of F1-measure values for MLLE, LLE, MSE, LE and PCA on the IRMA category 1, 4, 7 and 2...
<p>(A) is updated from 2 to 10 with step 1. (B) is updated from 1.1 to 3 with step 0.1.</p
<p>Comparisons of the performances of different methods by MCCs [Average difference (P value)].</p
Comparison of MMKE and comparative algorithms in terms of the overall effectiveness (OE).</p
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>Comparison of mean average precision using the Corel-2000 image benchmark.</p
<p>Comparison of sensitivity, specificity and DOR for MLLE, LLE, MSE, LE and PCA on IRMA category 1....
<p>Comparison of accuracy within 30% and within 10% of estimating equations by exact McNemar tests.<...
<p>The comparison of sampling methods, area, replicate, depth, identification level, and the data us...
<p>Comparison of sensitivity, specificity and DOR for MLLE, LLE, MSE, LE and PCA on IRMA category 4....
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
<p>Comparison of the interpolation accuracies achieved using MSE, MAE and MRE based on a cross-valid...
<p>Comparison of accuracy and precision of different methods based median and standard deviation of ...
<p>Mean average precision values of the proposed MLLE evaluated with different </p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison of F1-measure values for MLLE, LLE, MSE, LE and PCA on the IRMA category 1, 4, 7 and 2...
<p>(A) is updated from 2 to 10 with step 1. (B) is updated from 1.1 to 3 with step 0.1.</p
<p>Comparisons of the performances of different methods by MCCs [Average difference (P value)].</p
Comparison of MMKE and comparative algorithms in terms of the overall effectiveness (OE).</p
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>Comparison of mean average precision using the Corel-2000 image benchmark.</p
<p>Comparison of sensitivity, specificity and DOR for MLLE, LLE, MSE, LE and PCA on IRMA category 1....
<p>Comparison of accuracy within 30% and within 10% of estimating equations by exact McNemar tests.<...
<p>The comparison of sampling methods, area, replicate, depth, identification level, and the data us...
<p>Comparison of sensitivity, specificity and DOR for MLLE, LLE, MSE, LE and PCA on IRMA category 4....
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
<p>Comparison of the interpolation accuracies achieved using MSE, MAE and MRE based on a cross-valid...
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