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Threefold cross-validation is applied to develop the models.
Multiple linear regressions were applied to develop the models.
The SAS PROC LOGISTIC procedure is used to develop the models.
To develop the models, experimental data were divided into training data and testing data.
To develop the models, a total of 569 data set collected from the literature were used.
This methodology may also be extended and used to develop the models with other DOFs.
Some difficulties are discussed regarding the time to develop the models.
There are several limitations to the data used to develop the models as well as the models themselves.
In the next section, we develop the models for preference aggregation to assess the weights associated with different ranking places.
Three GEP models are developed to capture the effect of randomizing the test data subsets used to develop the models.
An extensive data set including 2940 data points for 56 ILs was used to develop the models.
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