Sentence examples for models provided slightly from inspiring English sources

DCG-based models provided slightly higher explanatory power and the inability to use prescriptions data in the CRG software was a limitation for making comparisons with the latter.

The amino-acids-plus-properties models provided slightly more true-positive predictions (predicted cleavage sites that were confirmed by empirical data) but slightly more false-positive predictions (predicted cleavages sites that have not yet been reported) than the amino-acids-only models.

For detailed program planning purposes, when high accuracy is more important, the bivariate and multivariate regression models provide slightly more accurate estimates on average in our analysis their average and maximum error values were smaller.

Statistical analysis showed that, in general, the Bingham model provided slightly better results than the Ostwald one.

The SS model provided slightly better results in MPZ and TCZ, and slightly less accurate results in SMZ and TMZ, compared with the data-driven models under the same input conditions.

A full 16-risk factor model provided slightly better discrimination but was less robust.

This model provided slightly more true positive predictions and a higher sensitivity than the human logistic model.

Three-phase linear model provided slightly less variation than Baranyi, although the goodness of fit of this model is considerably worse than that of Baranyi model.

From these prediction accuracy results in Table 8, the GRRF model provided slightly better result on SRB data set in case n min = 15 and PRO in case n min = 1, respectively.

The analysis of fit of the regional and global model to all available southern African ground data indicates a similar performance with the regional model providing slightly smaller root-mean-square misfit.

Between these, the NS_Adapt model provides slightly better estimates as is evident by the closeness of the median values of the estimates to the true values, and lower interquartile ranges of the estimates.