Sentence examples for model increased true from inspiring English sources

When compared with the original method, the new model increased true positives as well as false positives.

For simulations of a single population, Akaike weights, which give the proportional support for each of the candidate models (summing to one), favoring the true (simulated) model increased with increasing sample size across most models and parameterizations considered, with some exceptions.

The probability of selecting the correct model increased as the effect size of the true predictor increased but the methods differed.

The proportion of true cases identified by risk adjustment models increased as the comprehensiveness of the risk adjustment model increased, regardless of outcome standards.

The whole area of the domains increased with increasing true strain from −0.3 to −0.7, while it decreased with increasing true strain from −0.7 to −0.9.

With increasing true strain, the tensile strength increases continuously and the cementite flake thickness decreases correspondingly.

We have shown that explicitly modeling dynamics using a simple ODE model increases the ability of our pipeline to identify true regulatory interactions (when compared to a static model), and help resolve the directionality of these interactions.

Similar to the pattern observed for simulations of single-population models, Akaike weights in favor of the true model generally increased with increasing sample sizes across the simulated two-population models.

If this model is true, increasing cytosolic levels of either ornithine or arginine (which can easily be interconverted into each other) should recover the cytotoxic effect of UBB+1 in strains with interrupted mitochondrion-associated biosynthesis of ornithine.

It was also shown that as the complexity of a hydrological model increases over-parameterisation occurs, but the converse is true for a water quality model where additional process representation leads to additional acceptable model simulations.

The differences between the true value and the estimated value by the CTT model increases when the latent variable distribution becomes more skewed.