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Cross validation was used to find the number of components that minimized the prediction error.
As a result, the model that minimized the prediction error and maximized the cross-validation consistency (CVC) was chosen.
Cross-validation was used on the data in the reference population to find the number of components that minimized the prediction error.
The optimum number of components that minimized the prediction error was selected by 10-fold cross-validation using the training samples.
Results: In an in depth numerical study involving an ordinary differential equation model of the trans-Golgi network with 12 partly non-identifiable parameters, we minimized the prediction uncertainty efficiently for predefined scenarios.
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In SVR, the structural risk minimization is implemented for minimizing the upper bound of generalization error, while ANN takes the advantage of empirical risk minimization to minimize the prediction error (Asoodeh and Bagheripour 2013).
Although it is preferable to minimize the prediction error instead of predicting the error, the problem of minimization of the prediction error is as difficult as numerical weather prediction.
However, the algorithm may not necessarily minimize the prediction error of the test dataset itself; thus, some degree of mismatch between the predicted and actual fibrosis scores is expected.
The algorithm behind EBK generates several semivariogram models to minimize the prediction error generated from the uncertainty of model parameters.
The problem is resolved by using what is called a smearing factor to minimize the prediction error.
In the study, the model parameters are calibrated in order to minimize the prediction errors in a certain building.
More suggestions(15)
prevented the prediction
minimized the problem
minimized the oxygen
minimized the horror
minimized the effect
minimized the Keystone
minimized the value
minimized the slosh
minimized the animosity
minimized the importance
minimized the number
minimized the drama
minimized the need
minimized the risk
minimized the impact
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