<p>As sets of features, (F1–5), (F1–6), (F1–5,7), and (F1–7) shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065265#pone-0065265-t001" target="_blank">Table 1</a> were used. The results by the naive Bayes-based method <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065265#pone.0065265-Maruyama1" target="_blank">[11]</a>, MCL <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065265#pone.0065265-Enright1" target="_blank">[7]</a>, MCODE [28], RRW <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065265#pone.0065265-Macropol1" target="_blank">[18]</a>, and NWE <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065265#pone.0065265...
<p>The values for each feature were z-scored to put them on the same scale across features, and the ...
<p>Recall, precision and F-measure are defined as follows: Recall (R) , Precision (P) and F-measure...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>-SVC was employed with regularization parameters, , . As sets of features, (F1–5), (F1–6), (F1–5,...
<p>Result on the average precision, recall, and F-measure with varying in the best case using featu...
<p>The bars and error ticks represent mean values and standard deviations respectively. (A) shows th...
The F-measure, also known as the F1-score, is widely used to assess the performance of classificatio...
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
<p>(<b>A</b>)–(<b>C</b>) Varying σ from 0.01 to 1 with <i>α</i> = 0.95 and <i>δ</i> = 1/4: (<b>A</b>...
<p>F1-measure results for the local context kernel with combination of different feature sets: Negat...
<p><i>(A</i>,<i>B)</i> The <i>p</i>-values (color scale shown, adjusted by false discovery rate cont...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>See the legend of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0042517#p...
<p>The x-axis shows the sensor size constraints used in the feature selection, each tick mark repres...
<p>For each r = 1,2,…,18, line 3 of FS_SVM (<a href="http://www.plosone.org/article/info:doi/10.1371...
<p>The values for each feature were z-scored to put them on the same scale across features, and the ...
<p>Recall, precision and F-measure are defined as follows: Recall (R) , Precision (P) and F-measure...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>-SVC was employed with regularization parameters, , . As sets of features, (F1–5), (F1–6), (F1–5,...
<p>Result on the average precision, recall, and F-measure with varying in the best case using featu...
<p>The bars and error ticks represent mean values and standard deviations respectively. (A) shows th...
The F-measure, also known as the F1-score, is widely used to assess the performance of classificatio...
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
<p>(<b>A</b>)–(<b>C</b>) Varying σ from 0.01 to 1 with <i>α</i> = 0.95 and <i>δ</i> = 1/4: (<b>A</b>...
<p>F1-measure results for the local context kernel with combination of different feature sets: Negat...
<p><i>(A</i>,<i>B)</i> The <i>p</i>-values (color scale shown, adjusted by false discovery rate cont...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>See the legend of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0042517#p...
<p>The x-axis shows the sensor size constraints used in the feature selection, each tick mark repres...
<p>For each r = 1,2,…,18, line 3 of FS_SVM (<a href="http://www.plosone.org/article/info:doi/10.1371...
<p>The values for each feature were z-scored to put them on the same scale across features, and the ...
<p>Recall, precision and F-measure are defined as follows: Recall (R) , Precision (P) and F-measure...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p