Exact(5)
Section 5 shows evaluation results on quality and computational costs.
Table 4 shows evaluation of each learning model for prediction by SVM.
Finally, Fig. 14 shows evaluation results using AUC (area under curve) as a metric comparing all modalities and evaluation setups (i.e., A-A, V-V, AV-AV, AVT-AVS).
Table 4 shows evaluation statistics for the spatial distribution of mean rainfall from CTL for D1 and D2 as compared with observed rainfall at 38 rain gauges in 1996, 1997, 1998, and 2006, along with the statistical measures R and IOA.
Figure 2 shows evaluation measure for starting condition 2. The left graph is curation efficiency, and the right one is recall and precision.
Similar(55)
Table 1 showed evaluation results of top 10 best geostatistical methods for each class of PTB prevalence.
Solid curves show evaluations of (23) and markers quantify simulation results.
Table 2 shows the evaluation results.
Figure 3 shows the evaluation method.
Table 1 shows the evaluation results for the LIVE database.
The following specific analysis shows the evaluation results.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com