<p>Result on the average precision, recall, and F-measure with varying in the best case using features (F1–7).</p
<p>The bars and error ticks represent mean values and standard deviations respectively. (A) shows th...
<p>Performance Comparison with Baseline Components (Precision, Recall, F-measure).</p
<p>Measures (Precision recall <i>F</i><sub>1</sub> similarity) on dataset 3 (C = 2000).</p
<p>Result on the average precision, recall, and F-measure with varying in the best case using featu...
<p>As sets of features, (F1–5), (F1–6), (F1–5,7), and (F1–7) shown in <a href="http://www.plosone.or...
<p>Average precision scores at various recall settings for different representation schemes.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>Recall, precision and F-measure are defined as follows: Recall (R) , Precision (P) and F-measure...
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
Comparisons of predictive accuracy with existing FS measures [29, 37, 39, 48].</p
Precision recall curves for the top performing model compared to individual feature predictions.</p
<p>Precision, recall, and F-measure results from adaptive thresholds on MSRA-1000.</p
<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different number of feat...
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
<p>The bars and error ticks represent mean values and standard deviations respectively. (A) shows th...
<p>Performance Comparison with Baseline Components (Precision, Recall, F-measure).</p
<p>Measures (Precision recall <i>F</i><sub>1</sub> similarity) on dataset 3 (C = 2000).</p
<p>Result on the average precision, recall, and F-measure with varying in the best case using featu...
<p>As sets of features, (F1–5), (F1–6), (F1–5,7), and (F1–7) shown in <a href="http://www.plosone.or...
<p>Average precision scores at various recall settings for different representation schemes.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
<p>Recall, precision and F-measure are defined as follows: Recall (R) , Precision (P) and F-measure...
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
Comparisons of predictive accuracy with existing FS measures [29, 37, 39, 48].</p
Precision recall curves for the top performing model compared to individual feature predictions.</p
<p>Precision, recall, and F-measure results from adaptive thresholds on MSRA-1000.</p
<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different number of feat...
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
<p>The bars and error ticks represent mean values and standard deviations respectively. (A) shows th...
<p>Performance Comparison with Baseline Components (Precision, Recall, F-measure).</p
<p>Measures (Precision recall <i>F</i><sub>1</sub> similarity) on dataset 3 (C = 2000).</p
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