Sentence examples for comparison of precision from inspiring English sources

Fig. 2 Comparison of precision.

Figure 6 Comparison of precision rate between Modified Bidirectional BFS and Bidirectional BFS.

Table 4 The comparison of precision (P), recall (R), and F measure (F) of this work (MAA) with those of other studies.

Fig. 11 Comparison of precision (a) and recall (b) between existing frameworks and SCMF Fig. 12 Comparison of risk between existing frameworks and SCMF Fig. 13 Overall comparison of the metrics between existing frameworks and SCMF.

Fig. 11 Relevance feedback: evolution of P @20 for each iteration considering texture descriptors Fig. 12 Relevance feedback: comparison of precision × recall curves for texture descriptors before (t=0) and after 10 iterations (t=10).

Fig. 3 Relevance feedback: evolution of P @20 measure for each iteration considering shape descriptors Fig. 4 Relevance feedback: comparison of precision × recall curves for shape descriptors before (t=0) and after 10 iterations (t=10).

Comparisons of precision, recall, P value, and f-measure of FCM algorithm, ICM algorithm and ABC-IFC algorithm are shown in Figures 3 to 6, respectively.

Overall precision is excellent, but comparisons of precision to other methods for solvent solutions is difficult since previous GC-MS methods are either qualitative [ 26], or precision is based using laboratory and instrument variability that are sample specific [ 13, 14, 17, 19, 21, 22].

This makes comparison of our precision data with other publications somewhat difficult.

Table 14 shows the comparison of the Precision and Recall parameters of the tool CLAN with the proposed tool CloneManager.

In this test, we focus on the comparison of algorithm precision with increasing dimension of the instance.