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For example, in the data size of 170 agonists, the dominant descriptors of 369 data sets among a total of 521 sets are all Jurs_RNCG.
Most molecular transformations have only a single example in the data set; however, a few dozen transformations have sufficient numbers for statistical analysis.
Also, magnitude frequency distributions may deviate from an exponential form at low and high amplitude ranges, as shown, for example, in the data for amplitudes of <0.05 mm/s at Sakurajima (Fig. 6).
For example, in the data centers, Google's systems might not know what caused a huge power spike — but they can take some guesses and act accordingly.
For example, in the data we analyzed here we used registrations in a time interval of five years preceding time of death.
The graph is formed by plotting the false positive rate (FPR, which is equal to 1 - specificity (Eq. 2)) versus the true positive rate (TPR, Eq. 3) for each example in the data set.
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1nAttr is the number of attributes in the data set 2nEx is the number of examples in the data set.
Below are some examples in the data: (59) Dear Dr S [first name], (text 8-43-S) (60) Dear Ms. D [first name], (text 7-6-E) .
The algorithm requires defining a similarity among the examples in the data set.
It is important to recognize that this is a biologically reasonable scenario with many relevant examples in the data.
On this data set, the set expansion compensated for the relatively few negative examples in the data set without set expansion.
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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