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Example one is to illustrate the proposed framework and second example is for validation purpose.
More specifically, we first randomly split the set of 100 real G4 sequences in Stegle et al.'s dataset [ 20] into two sets of 50 positive sequences, where one set is for training and the other is for validation.
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Thus the cross-validation is repeated five times and each subsample is used for validation.
Evidently, only those parameters are suitable for validation, which are not implicitly defined in a model.
You say that you know that this woman is looking for validation.
The implementation is utilised for validation of the proposed approach.
A series of scaled model tests is performed for validation.
The validation data set is used for validation of learned network.
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This is important for validation of our data.
"So I was looking for validation that it was a good investment".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com