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Secondly, these candidate variables were used in a backward selection procedure on the full dataset for the final selection of explanatory variables.
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We then used average values over five imputed datasets for the final analysis.
Hence, although the same attributes are used for each dataset, the final attributes used for modeling are different.
MIRFLICKR-40K dataset [35] The final image collection selected for evaluation is the MIRFLICKR-40K dataset and is a subset of the MIRFLICKR-1M collection.
This dataset was solely used for the final evaluation of our NetTurnP method.
Of 379 focal mechanism solutions with M ≥ 1, we used 283 focal mechanism solutions with misfit angles ≤25° as the final dataset for the FMT analysis.
Fig. 3 Scatterplot of each pair of explanatory features and dependent variable (importance index) in the final dataset for the period between 1991 and 2011.
The final dataset for the cell type analysis (all samples) contained 10487 probes.
The final dataset for the haplotype analysis consisted of 66 specimens and 519 characters of CO1.
Due to the low level of polymorphism in the single datasets, the partitions used for the final analyses were: 1) ITS + EIF3E, 2) MIR168a + MIR168b.
Box and whisker plots were made for the final dataset, which contained all SRD values for every dataset and similarity measure (SRDall).
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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