Sentence examples for model performance more from inspiring English sources

Adding more other configuration metrics does not improve the regression model performance more than 1%.

The results indicated that contrary to expectations, implementation of the practical constraints improved the model performance more than the modifications in the behavioral assumptions.

It has been shown to estimate model performance more accurately than other approaches such as those that involve setting aside data for a separate validation sample.

Such guidance is needed to more effectively evaluate and interpret model performance and more accurately communicate that performance to decision-makers and other modeling stakeholders.

The ALCA model is statistically sound when coping with spatially structured data, and the adoption of the ALCA model in future landscape transition simulations may provide more precise probability maps on landscape transition, better model performance and more reasonable mechanisms that are responsible for landscape changes.

Identified results indicated that the proposed approach can be effectively used to improve the model identification performance more than 80% in the Muskingum flood routing models.

The overall model performance is more important than how well it did on individual tests and comparisons.

The results also demonstrated that soil TN models based on MS/PAN spectral indices have slightly higher model performance and more detailed characterization of TN spatial pattern compared with soil TN models based on MS spectral indices.

Calculations of model prediction error on the training data indicated little or no improvement in model performance when more predictor variables are included, i.e. models with all predictor variables (full), or built stepwise (step).

In terms of model development, given that data collection was not complete for all parameters, the intent was to develop a simple model that provided relevant clinical data for a high percentage of patients and to assess the model performance as more clinical characteristics were added.

External validation is also important to evaluate the model's performance more widely.