Sentence examples for model fit when from inspiring English sources

In addition to locally fitting weights to improve the model fit when NNs are initialized randomly, this hybrid algorithm allows for weight optimization in the event that sensible initialization from domain knowledge resulted in the inclusion of either of the two functional variables in the initial generation.

Moreover, the global non-parametric T11-statistic (p = .29) and Yen's Q3 (maximum value of Q3 < .17) suggested model fit when testing for local stochastic independence.

Stratifying the fitting data into leading species and, for some species, productivity levels obtained from CASFRI improved the model fit when applied to the intercept and first slope only.

Hence, the documented improvements of the RMSEA values indicate that the restrictions imposed when testing weak and strong MI only led to a marginal decrease in model fit when accounting for the changes in number of parameters to be estimated.

Standard 4.10 of the Standards for Educational and Psychological Testing (American Educational Research Association 2014) recommends obtaining evidence of model fit when an IRT model is used to make inferences from a data set.

To reduce the effect of sample size, the normed Chi square (x 2 /df) can also be used to assess overall model fit when large samples are used, and a recommended acceptable ratio for this statistic is 2.0, 3.0, or even as high as 5.0 (Marsh and Hocevar 1985; Wheaton et al. 1977).

Lower values indicate better model fits, when comparing different models.

In this process, the tag will be processed for model fitting when the ID, text, and words are transferred into the conversion process.

We also propose to use the grid AUC score to evaluate the added value of the grid model fitting when compared to models fitted by separate sub-datasets.

Figure 6 (upper) illustrates the separate model fits when the groups were collapsed within each lesion type (sham or hippocampal lesions), i.e. ignoring the behavioural condition.

Careful consideration must be given to the interpretation of parameters obtained from model fitting when only a single set of data (for example, xylose yield) is used to constrain the fit.