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To avoid overfitting, the validation set was involved in training step and ANN stops when RMSEP of calibration set decreased and that of independent set increased.
Similarly to Series A, the fraction of common neighbor pairs in the Series B data sets increased as the size of the data set decreased.
In addition, the fraction of compounds with an NPI between −0.05 and 0.05 increases as the size of the data set decreases.
We can see that the performance gain of analytical features increases as the size of the feature set decreases, with a spectacular result from single features (84% versus 43%).
The mean allelic error rate increases as the number of animals in the reference set decreases.
Rmerge for the P6522 data set decreases to 8.4% after excluding reflection with I/sigI <3.
In addition, abundant repetitive elements in a sequence set decreased our ability to accurately assemble the sequence.
As in other gene set collections, as the number of genes in any given gene set decreases, the phenotypes progress from broad categories to more specific phenotypic descriptors.
The average Ct value in the full data set decreased from 19.76 to 18.54 across the 3 days (data not shown).
In addition, in both models, the confidence interval gets wider as the revisit order increased because the risk set decreased as the order of visit increased.
For the cause-specific hazard, h k (t; z ), the risk set decreases at each time point at which there is an event of another cause.
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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