Sentence examples for model statistics for from inspiring English sources

While analysis revealed there was only one statistically significant relationship for Dundee's year 4 written, model statistics for the multiple regression analysis was included in the table for consistency.

Also, the proposed protocol performance is thoroughly investigated through simulation results based on Poisson and self-similar traffic model statistics, for both traffic scenarios.

Tables 4 and 5 show the results for the final set of eight descriptors for 546 organic molecules: the averaged values across data splits and the best model statistics for all data splits are presented.

Table 1 Summary of model statistics for the case study Model Training set Test set   n TR R 2 RMSE n TS Q 2 RMSEP CAESAR Model 2 378 0.797 0.600 95 0.797 0.600 R 2 Determination coefficient; RMSE Root-mean-square error; Q 2 Predictive squared correlation coefficient; and RMSEP Root-mean-square error of prediction.

a Model Statistics for distance traveled: R2 = 0.0899.

b Model Statistics for time spent in travel: R2 = 0.0817 * p > 0.05.

In accordance with these guidelines, external model validation was performed and a range of model statistics were calculated for a comprehensive performance analysis.

Particularly, for each data splitting and CV method, the following plots are produced: observed versus predicted values for training/test sets, feature importance, fitted versus residuals for the fitted model, leverage statistics for fitted model, Cook's distance for fitted model, and six standard fitting plots including Cook's distance cutoff.

We supplemented evaluation of effect modification by categorical variables with more than two categories by comparing the model fit statistics for models with and without the cross-product terms.

The model statistics improved to 0.94 for t7 and 0.96 for t8 (permutation test p < 10 5) when homogeneous subsets were used rather than the whole class.

Among other things, this means that AIC model statistics are not defined for "full" models containing all possible variables.