The phrase "achieve a model which" is correct and usable in written English.
It can be used when discussing the goal of creating or developing a specific model in a particular context, such as research or project development.
Example: "Our objective is to achieve a model which accurately predicts consumer behavior based on historical data."
Alternatives: "develop a model that" or "create a model which".
In Chen's report [ 11], AAP propensity scale was used in combination with a support vector machine (SVM) to construct a model which achieved optimal accuracy of 71.09% on Chen872 using fivefold cross-validation at window size 20.
In this article we have achieved a minimal model which puts this intuition on firm grounds.
The final goal is to achieve a whole model in which a schedulability analysis could be applied in order to assure that this kind of systems meet timing non-functional requirements of the application.
"I am delighted that Welsh government has been able to work with the Principality in achieving this innovative model, which not only will provide much needed housing, but huge community benefits too".
A database compiled from 147 experimental tests of RBAC compressive strength was processed by neural network modelling to achieve a reliable prediction, which was investigated by three-fold validation.
Apart from drug overdose, we did not include diagnoses in the model because ICU benchmarking for a specific diagnosis (such as acute respiratory distress syndrome, severe pancreatitis, peritonitis, chronic obstructive pulmonary disease, or pneumonitis) cannot be achieved using a model in which that diagnosis is included.
The basic idea of the majority of them is to introduce an integrated model which achieves an optimal common set of weights (CSW).
Nonetheless, results achieved enabled creating a mathematical model which appeared very well fitted to the analyzed process and during verification with experimental data it provided results differing from the experimental ones by only 0.8%.
This can be achieved via fixing a null model, which describes distribution of ranks when all studies produce irrelevant results, and estimate statistical significance.
