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(1) Training and validation datasets.
Two steps are necessary: training and validation.
Radar provided the ''ground precipitation truth'' for training and validation.
The dataset is divided into training and validation sets.
Results of ANN training and validation are first discussed.
The training and validation are performed with good accuracy.
The development, training and validation of the proposed models were discussed.
Results of the training and validation tests show that PFR outperforms the other approaches in terms of training and validation errors.
Results of the training and validation tests show that the proposed approaches perform better than the others in terms of training and validation errors.
For each of the training and validation cases the CASMI team provided possible candidate lists.
The cases for training and validation were generated by the real LTE network.
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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