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Therefore, the calibration and assessment of models are an inevitable and necessary task.
Hence, the quality assessment of models is an important issue in MDE.
The proposed metrics have many favorable properties that are well suited for validation assessment of models with correlated responses.
With considering both the uncertainty and correlation of multiple responses, this paper presents a new method for validation assessment of models with multivariate output.
A major problem with selection and assessment of models is that we usually only have information from the training samples, and it is therefore not feasible to calculate a test error.
Assessment of models.
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Preliminary analyses assessed the appropriateness of these assumptions through assessment of model fit and evaluated evidence of gender differences and the need for gender-specific models.
Two key elements in assessing the performance of a fitted logistic regression model are the assessment of model calibration and model discrimination.
There are limited observational data to start with, insufficient testing of climate model simulations of extremes, and (so far) limited assessment of model projections.
Figure 9 Assessment of model fit.
Both require proper assessment of model and observational errors.
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