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both in training and validation vs both for training and validation

Both phrases are correct, but they are used in slightly different contexts. 'Both in training and validation' is commonly used when referring to something that applies to both training and validation datasets. On the other hand, 'both for training and validation' is used when indicating that something is used for both the training and validation processes.

Last updated: March 17, 2024

both in training and validation

This phrase is correct and commonly used when referring to something that applies to both training and validation datasets.

This phrase is used to indicate that a particular aspect or characteristic is present in both the training and validation datasets.

Examples:

  • The model performed well both in training and validation phases.
  • Accuracy was high both in training and validation sets.
  • Consistency is important both in training and validation data.
  • The same hyperparameters were used both in training and validation.
  • Errors were minimized both in training and validation processes.

Alternatives:

  • in both training and validation
  • in both the training and validation sets
  • in both the training and validation data
  • for both training and validation
  • for both the training and validation phases

both for training and validation

This phrase is correct and commonly used when indicating that something is used for both the training and validation processes.

This phrase is used to show that a particular tool, method, or approach is applicable to both the training and validation stages of a process.

Examples:

  • This technique is effective both for training and validation.
  • The same dataset was used both for training and validation.
  • The model architecture is suitable both for training and validation.
  • The algorithm was optimized both for training and validation.
  • The process was streamlined both for training and validation.

Alternatives:

  • for both training and validation
  • for both the training and validation phases
  • for both the training and validation processes
  • for both training and validation sets
  • for both the training and validation data

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