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We developed our model using all detailed time course data available to us for this strain.
The p-value results from a statistical test that compares the performance of a machine learning model using all masses as input to the performance of a model using all but one mass as input.
The All-data model used all collected data to address Hypothesis 1.
Plots are derived by validating a RFR model using all available samples of each study area.
It is a business model used all over the world, and it isn't right or wrong.
We run the SI model using all connections from all keywords, and fixing β once again to 0.1.
The first presented nonlinear state model uses all the information, and the second presented nonlinear model uses the same amount of information as the proposed linear model.
The final suggested model used only 6% of the full set of descriptors and produced better results than a model using all of them.
The Huffington Post's Senate prediction model uses all of the polls in HuffPost Pollster's database to forecast the Senate elections.
For each House member, we temporarily remove them from the dataset, re-specify the model using all other Democratic members, and use that re-specified model to generate a predicted Trump Score for the missing House member.
We trained a model using all windows without polymorphic indels (42214 windows).
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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