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You will be graded on the accuracy of the Validation Error.
As a result, both training time and validation error are reduced.
According to the plot, since the validation error could not converge after 10 epochs, the least validation error attained at epoch 1 was chosen by the learning algorithm.
Similar to Fig. 4, the attainment of the optimal validation error is shown in Fig. 8.
Hence, the best validation error attained so far at the first epoch was chosen.
4) Find the optimal feature subset with the lowest validation error. .
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We set the number of clusters to K = 7 (this K-value had the lowest cross-validation error).
After training, the neural network behaves as an adaptive filter which minimizes the cross-validation error.
The grid search method was employed to minimize cross-validation error.
Reporting a cross-validation error as an estimate of error.
Such a process leads to the -repeated -fold cross-validation error estimator, given by (17).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com