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An analysis of model performance by study and by compound suggested that the creation of the model had not been driven by any one study or any one compound, but rather was a reasonable reflection of its component parts.
Again, while probing these values for CV to isolate which spectral processing techniques result in the most robust, accurate models, assessing the r and R 2 magnitudes for the prediction of a true validation set permits a more rigorous analysis of model performance.
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This opens very new perspectives for the analysis of model performances focusing on the occurrence and non-occurrence of different types of high flow events.
We further conducted sensitivity analysis to examine responses of model performance to various parameter settings.
This comparative analysis provides a measure of model performance based on the ability of the CA-BCM to accurately estimate basin discharge.
Although it is common for prediction research studies to report results from ROC analysis, the other measures of model performance, calibration, and reclassification are seldom reported.
Support has been built in for event-based analysis of data and assessment of model performance.
The classification algorithm level similarity analysis was based on analysis of three-dimensional graphs of model performances for original models and swap models.
An analysis of the model performance reveals that multiple solutions of elliptic problems do not have to imply proportionally larger computational expense.
This scenario proposes the analysis of the model performance when a bidirectional flow of pedestrians crossing a corridor is simulated.
Regarding the PS group, the analysis of model preference and performance produced results similar to those of the low-density regions, with lower AIC values for the 2TCM.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com