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To assess the expression array performance for each sample, we used the ROC AUC summarization score, which is a measure of overall sensitivity and specificity of the expression profile.
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While Figure 1A was produced on the summarization data set without cutoff values, Figure 1B was produced by using cutoff values of 4.3 from above and -4.3 from below on the summarization scores (any value in between was set to 0).
Performance measurement metric of summarization ROUGE and Pyramid scores are also gives acceptable values in summarizing the large text collections.
RM is useful to investigate unidimensionality of the construct (fundamental requisite of the summarization of the raw scores), the fit and the reliability of each item, and the differential item functioning.
Alternative means of central tendancy summarization (i.e. median scores) also matched this pattern of partial to complete dosage compensation (RXE ranged from 0.047 to −0.58), but with slightly lower values.
A regression model was constructed with CET4 readingb and writing scores as two independent variables and summarization performance represented by the average of the summary scores in the two tests as the dependent variable (see Table 8).
As algorithms have largely displaced humans in the areas of rote reporting like box scores and basic financial summarization, could machines make ever-increasing strides in taking over journalism itself?
The rouge and pyramid scores of the presented summarization approaches are tabulated for the three different cases in the Table 1.
The Combo summarization method resulted in an F-score of 0.69.
For the prevention data, Semantic MEDLINE enhanced with dynamic summarization achieved average recall and precision scores of 0.655 and 0.329.
For the drug treatment data, Semantic MEDLINE enhanced with dynamic summarization achieved average recall and precision scores of 0.848 and 0.377, while conventional summarization produced 0.583 average recall and 0.712 average precision, and the baseline method yielded average recall and precision values of 0.252 and 0.277.
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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