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Classification and regression trees were used to develop trend models for soil NO3 N predictions based on environmental correlation and predict values at the watershed scale.
The second is the prediction property, where the goal is to accurately predict values of the response variable for subjects that are not used in model building.
There was good confidence in the overall model when it was used to predict values for the entire data set.
Spatial interpolation is frequently used to predict values across a landscape enabling the spatial variation and patterns of a property to be quantified.
In addition, Monte Carlo simulations of gamma interactions over a range of energies, predict values that are in good agreement with the experiment.
These results show that the commonly used equations of state (EOS) predict values up to 1 MPa (150 psia) higher than the data.
Both of the two-parameter models predict values of reactance which are greater than those of resistance over the audio-frequency range.
The model is used to predict values for the band spacing P in terms of crystal elastic moduli, lamellar surface energy density and lamellar thickness.
Thanks to the FL model, we could predict values which are wanted to have knowledge about materials characterization with less specimens and less tests without spending much time and workforce.
Similar(2)
Negative predict value.
Positive predict value.
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