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For classifier performance comparison, the ROC curve of a more accurate classifier is closer to the left-hand and top borders of the plot.
The ROC curves of four SVM classifiers are shown in Figure 2. In general, the ROC curve of a more accurate classifier is closer to the left-hand and top borders of the plot.
Since the ROC curve of an accurate classifier is close to the left-hand and top borders of the plot, the area under the curve (AUC) can be used as a reliable measure of classifier performance [ 27].
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We plant another row of broad beans along the northern border of the plot, and then sowed some sweet peas, putting them in the cold frame for safekeeping and protection from the worst of the weather.
Consequently, the duplicated assays of this enzyme appear relatively isolated from its rabbit counterpart on the left border of the plot.
These chives have the strongest flavor, but are typically used in gardens for their size 20-300 incheight height) around the borders of a plot.
Two border rows on each side of the plot and the border plants of each row were discarded.
In the revised manuscript we've adjusted the figure, such that the borders of the different body parts in controls are plotted separately.
On all data figures across phases of walking, these phases are identified with black borders around the plots.
To reduce edge effects, border plants were excluded and data were taken on only 10 plants in the center of the plot.
Thick lines denote the borders of the experiment, thin lines denote irrigation lines (vertical borders of plot were also irrigation lines in [B] 2010), and R# denotes row number (used for identifying replicates during the experiment).
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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