Sentence examples for models had very from inspiring English sources

Our models had very good predictive abilities for the current period (Table 1).

The GFDL CM2.1 and WorldClim-based models had very similar shapes and effect sizes, so given this consistency, we built our wildfire occurrence models from the GFDL CM2.1 historical simulation data, from which future fire could then be projected seamlessly using global 30-year climate averages of variables simulated for time periods 2010 2039, 2040 2069, and 2070 2099.

The two logistic regression models had very similar calibration to one another (Fig. 1).

All models had very small values for median proportion of wrong predictions, ranging from 0.009 to 0.033.

The full and trimmed models had very similar predictive ability with RMSE indices of 0.164 and 0.163, respectively.

However the Bayes quadratic and kNN models had very good generalization performance, while artificial neural networks and integer score models gave the worst results.

Accordingly, it has been found that the descriptors used in the proposed models have very low-inter-correlation.

We can observe that the PLS model differs from all others, having the worst performance, whilst LM, GLM, LASSO, and ENET models have very similar performances.

It is obvious from Fig. 5 that the MT2-5 four models have very good agreement between measured and estimated discharges for both low and high values.

Comparing odds ratios across countries and regression models has very recently been criticised due to problems that stem from 'unobservables' (Karlson, Holm & Breen, 2012; Mood, 2010).

As shown in this figure, isothermal and zero diffusion models have very close estimations of GOC depth, while Hasse model calculates GOC about 1000 ft higher than previous models.