Sentence examples for improve model performance from inspiring English sources

"improve model performance" is grammatically correct and can be used in written English.
It is a phrase commonly used in the context of data analysis or modeling, where the goal is to enhance the accuracy or effectiveness of a model. Example: "The data scientists implemented several techniques to improve model performance, resulting in a 10% increase in accuracy."

Exact(45)

For a given recuperator design, model simulation was performed to provide insights and improve model performance.

The main goal of our modeling approach was to address two violations of model assumptions and thereby improve model performance.

Then we investigate the potential of joint hydrologic-2d-hydrodynamic modeling to improve model performance.

To improve model performance, here we tested an approach with the committee machine.

However, the introduction of regionalised HSDR metrics at the cell scale did not improve model performance.

The use of spatially distributed rainfall data did not improve model performance over the use of catchment average rainfall data.

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Similar(15)

Ensemble approaches based on the use of multiple different wavelets, in conjunction with a multi model setup, could potentially improve model performances and also allow for uncertainty estimation.

Our results indicated that the introduction of an amplification factor can effectively improve model performances both in terms of soil moisture and runoff simulation.

The need to improve model performances for all types of industrial accidents data based on these observations justified our interest in developing the GFMAPR search (S-GFMAPR) model.

It is not only to avoid building spurious calibration models, but also to further the improvements of multivariate regression steps through appropriate preprocessing by calibration data evaluation, and thereby improve model performances and optimize the data acquisition and experimental design.

Uninformed optimization improved model performance by 29% compared to expert opinion-informed model, while sensitivity-analysis informed optimization improved model performance by 54%.

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