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Standardizing the data before variable importance analysis did not affect the ranking of the most important variables for each biomarker.
The three most important variables (Table 1) explained an average of 69% of data variability.
The carbon dioxide and the temperature are the most important variables.
As one of the first and most important variables in this educational experiment, Fredriksson and her fellow-students in the founding class won't have to pay tuition.
The most important variables in this calculus were arrow weight and the length and stiffness of the bow.
The most important variables used in this article and their description are summarized in Table 1.
One of the most important variables that BCM calculates is climatic water deficit (Stephenson 1998).
MAP, followed by lactate and diuresis were considered the most important variables for monitoring.
The most important variables were pH and temperature and their combined effect.
Dose, agitator speed and hopper fill level were the most important variables.
The most important variables for Baden were Elevation, Dam Existance, Flotsam, Forest, Dam Length and Vegetation.
More suggestions(16)
most prominent variables
most essential variables
most importance variables
most independent variables
most influencing variables
most important points
most psychosocial variables
most predictive variables
most important attributes
most socioeconomic variables
most representative variables
most relevant variables
most environmental variables
most demographic variables
most explanatory variables
most other variables
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com