<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: recall, precision and F1-score.</p
<p>Recall value comparisons for different clustering algorithms using the overlapping technique.</p
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different number of feat...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
<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>The recognition precision is given under the same experimental setting to the above ones in which...
<p>Result on the average precision, recall, and F-measure with varying in the best case using featu...
Comparison of accuracy for different approaches based on multi-scale descriptors, where small value ...
<p>Average precision scores at various recall settings for different representation schemes.</p
Comparisons of predictive accuracy with existing FS measures [29, 37, 39, 48].</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
The recall is the percentage of true positives found by the three methods which are evaluated (srnad...
Comparison of classification accuracy while using different sizes of vocabulary.</p
<p>Recall value comparisons for different clustering algorithms using the overlapping technique.</p
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different number of feat...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
<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>The recognition precision is given under the same experimental setting to the above ones in which...
<p>Result on the average precision, recall, and F-measure with varying in the best case using featu...
Comparison of accuracy for different approaches based on multi-scale descriptors, where small value ...
<p>Average precision scores at various recall settings for different representation schemes.</p
Comparisons of predictive accuracy with existing FS measures [29, 37, 39, 48].</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
The recall is the percentage of true positives found by the three methods which are evaluated (srnad...
Comparison of classification accuracy while using different sizes of vocabulary.</p
<p>Recall value comparisons for different clustering algorithms using the overlapping technique.</p
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different number of feat...
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