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Multiple regression analyses showed that both models yielded a good prediction of yeast density.
All the regression models yielded a good fit with high determination coefficient and F value.
As the threshold became large, the models yielded a relatively low DR and a low FPR, and vice versa.
A consensus model by integrating the predictions of individual LLL models yielded a correlation coefficient r 2 of 0.712 for the test set containing 2896 compounds.
Last, the effect of offset distance on the normalized reinforcement tension summation coefficient, KT, indicates that single and independent wall models yielded a single consistent KT value.
The respective regression models yielded a correlation between measured and predicted values of COD and root mean squared error of 0.874, 0.66 (SDT); 0.952, 0.48 (DTF); 0.943, 0.52 (DTB); and 0.785, 0.85 (SVR) in complete data array of Ghaziabad.
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For all peaks, GA-BPNN models yielded an improved prediction with respect to conventional BPNN and statistical regression models.
Calculations of short-term cloud feedback in climate models yield a similar feedback.
These models yield a reasonable prediction of experimental data.
The NMR models yield a consistently lower total SASA than observed in any of our simulated ensembles.
As described in the Results section, combined genetic-metabolic models yield a correlation of approximately 0.5 between observed and in LOOV predicted response (cf. Table 1).
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