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Discover LudwigThe phrase "reduce model" is correct and can be used in written English.
It is commonly used in the context of data or statistical analysis to refer to simplifying a complex model to a more manageable one. Example: "In order to better interpret the data, the researchers decided to reduce the model by removing certain variables and focusing on the most significant factors."
Exact(54)
Those individuals could reduce model accuracy and limit model utility.
make their own observations with a variety of geophysical instruments, and reduce, model, and interpret their data and uncertainties.
Increasing model horizontal resolution tends to reduce model bias and error for precipitation predictions.
The abstracted model aims to reduce model complexity, and yet maintain validity.
Linear models from various operating points (OP) are clustered to reduce model nonlinearity.
Closed-loop performance restoration typically requires some form of model maintenance to reduce model uncertainty.
Similar(6)
Inclusion of a form factor into biomass equations may reduce model-selection uncertainties but create other problems.
For instance, data assimilation can reduce model-data misfit by recovering optimal parameter sets using multiple types of data [ 46, 47].
In Map Reduce model-mappers computes all the suffixes along with their frequency count and reducer constructs final probabilistic generalized suffix tree (PGST).
The Map-Reduce model consists of three phases: Map, Shuffle and Reduce.
The study of [119] no only used the map-reduce model, it also allowed users to express their specific interest constraints in the process of frequent pattern mining.
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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