Exact(20)
area under precision recall curve.
We here propose to use the area under the precision recall curve (AUPRC) as validation statistic.
The precision recall curve is also provided in Figure 18 for comparison in the Brodatz database.
Illustrating this situation, Etzione et al. [7] report their results using the area under precision and recall curve.
Again, the area under the precision recall curve is more sensible than the area under the ROC curve.
The part-based and Hough transform-based methods fail to achieve high recall curve values in the data set.
Similar(40)
The precision-recall curve, however, relies on the query image.
The performance measure used in this study is the precision-recall curve.
Precision-recall curve is the most common metric to evaluate 3D shape retrieval system.
Fig. 7 Precision-recall curve for the models including inactive data, and actives-only models.
Figure 14 Precision-recall curve for D1 image of the Brodatz database.
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