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AVIRE and habitat together were included in the best model for both small mammal groups, that is, higher abundance of specialist and generalist small mammals occurred where there is lower average road effect (less AVIRE) and more habitat.
Experimental data from our laboratory were assessed against different ANNs and based on a 2-way ANOVA treatment of various error indices, a two-hidden layer network with 5 neurons emerged as the best model for both descriptive and predictive purposes.
Hence, the gamma distribution with the lowest value of RMSEand MAE, and the highest value of CC is the best model for both storms.
The GPCM with variable discriminating power was selected as the best model for both versions of the scale for two reasons: firstly, the difference between its area and that of the GPCM with constant discriminating power was very small.
Compound symmetry model was selected as the best model for both populations.
The linear model was consequently selected as the best model for both utility scores.
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Finally, the study of equilibrium isotherm and kinetic models of adsorption process are shown that the Langmuir isotherm model and pseudo second order kinetic model were the best models for both adsorbent.
100 models were generated and the best models for both B- and C- were selected based on the molecular probability density function (molpdf) which gives the current energy of each model.
Partial least squares + random forest (PLS + RF) approaches emerged as the best model for predicting both TC and TN in organic laden soil samples.
But which is the best model for teaching it today?
We finally select a single "best" model for each method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com