Sentence examples for model complexity means from inspiring English sources

However, increasing model complexity means that more powerful global optimisation techniques are required for model fitting.

It was found that increased model complexity by no means ensures better temporal transferability and that calibration of the models using a scale factor can be a practical alternative to fitting new models.

In our implementation, we constrained ρ to be diagonal to reduce model complexity, and used k-means clustering to initialize ω to good starting values for faster convergence.

This complex model has the advantage of describing pulmonary gas exchange accurately; however, its complexity means that the model is not useful for describing an individual patient in the intensive care unit.

Greater complexity means more expressive models.

DIC provides a measure of model fit that penalizes model complexity according to [ 16]. is the posterior mean residual deviance [ 15], pD is the 'effective number of parameters' and is the deviance evaluated at the posterior mean of the model parameters.

The manual of the ADMIXTURE code proposes choosing model complexity that minimizes the prediction error on held-out data estimated using the mean deviance residuals reported by the algorithm (K c v ∗ ).

However, the root mean square error of cross-validation is a more sensitive estimate with respect to model complexity and is also an indication of the spread of predicted values.

The Steiger-Lind root mean square error of approximation (RMSEA) and its 90% confidence interval provide a correction for model complexity (<0.08 indicates good fit).

Once the model was fitted one can extract from the list returned by BGLR the estimated posterior means and the estimated posterior standard deviations as well as measures of model goodness of fit and model complexity.

Complexity means less certainty.