'obtain importance' is a correct and usable phrase in written English.
It can be used to denote that something has achieved a degree of importance or has been recognized as important. For example, "The research paper has obtained importance in the scientific community due to its implications for the field."
For obtaining importance of every single feature that we consider in our experiment, we evaluated the entire feature set with a bag of decision trees and gathered the error in prediction with respect to the over all performance of the classifier.
Our historic town centres possess an evocative quality that has recently led to considering these town centres a subject of scientific research, overtaking, if not contradicting, the romantic vision by which they obtained importance in the Western world from the late 18th century.
Since Bayesian logistic regression is well suited for quantifying the relative importance of the data features and therefore facilitated interpretation of the obtained importance maps [30], it was the method of choice for the analysis.
We estimated classification performance and interpret the obtained importance maps at a single-subject level for three stimulus modalities: auditory (an object's spoken name), visual (a drawing of an object), and orthographic (an object's written name).
Because of the central role of item relevance when selecting a measurement model, obtaining importance and/or frequency ratings from focus group participants on all draft items is an extremely informative, yet often neglected aspect of early PRO design activities.
In chemical engineering, process models obtain increasing importance.
Three methods are adopted to obtain node importance ranking of this system.
Therefore, if correlated predictors are not independent, they obtain high importance scores and consequently, a higher probability of being selected for the split.
The method is based on a dual weighted residual approach where an appropriate adjoint problem is solved to obtain the importance of residual errors to the multiplication factor.
The ensemble modelling was also used to obtain an importance score for each environmental predictor, and to project the potential spatial distribution of the species for the local study area (step d).
