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First, the model accuracy describes how well the model fits the data.
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Model accuracy is described by Positive Predictive Value (PPV), Sensitivity, and F-score for each class, computed on test data not previously used to develop the model.
Other veterinary epidemiologists praise the models' accuracy in describing the epidemic.
Then we associate model accuracy to characteristics of species describing their habitat selection, environmental specialization, maximum densities in the study region, gregariousness, detectability and body size.
High accuracy models described herein are a detail reproduction of road traffic situations, including road infrastructure elements, surrounding buildings, vegetation and traffic participants.
The bootstrap resampled estimate of R of 0.26 described model optimism (overfitting) under 5% and gives an improved estimate of model accuracy.
Therefore, this network model evaluation process described here can be considered as an iterative and dynamic process that will increase the model accuracy over time.
In this section, we describe how to apply multi-objective evolutionary algorithms (MOEA) to extract fuzzy rule sets considering the balance between model accuracy and model interpretability.
Advances in model accuracy.
Assessment of PBPK model accuracy.
Table 2 compares the accuracy of the KM model (the kinetic model described here) relative to other popular models described in the literature.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com