The phrase "a fairly large model" is correct and usable in written English.
It can be used when describing the size or scale of a model, often in contexts like data science, architecture, or any field where models are utilized.
Example: "In our research, we decided to implement a fairly large model to better capture the complexities of the data."
Alternatives: "a relatively big model" or "a quite substantial model."
We propose a thread-level closed-queuing network model covering a fairly large design space, accounting for hardware scaling models, coarse-grain, fine-grain, and simultaneous multithreading (SMT) cores, shared resources, including cache, memory, and critical sections.
Another issue with the earlier model is a fairly large number of votes on stories far down the recency list.
Analyzing a fairly large sample of hypothetical proteins using our annotation model indicates that a general function can be predicted for a sizeable number.
The fact that the risk increases progressively with the number of affected relatives suggests the effect of a fairly large number of genetic risk groups, consistent with, for example, a polygenic model as proposed by Antoniou et al. [ 12].
As a result, the new models are applicable to a fairly large area of operations management special problems.
The aim of the paper is to assess whether dynamic, one dimensional (in space) model may be useful for a fairly large scale reactor simulations.
The model uncertainty is estimated by calibration with a fairly large set of case histories.
For example, if there were imbalances in patient or cluster level covariates between the randomised groups multi-level or hierarchical models explicitly model the treatment effect adjusting for the confounding, provided that there is a fairly large number of clusters.
Even the best model yields Akaike weights that are close to zero for a fairly large number of cells (see frequency histograms along the x-axes in Fig. 6).
Note that we chose a fairly large probe fiber spacing to be able to maintain the accuracy of the diffusion approximation model used for FD-NIRS data analysis.
