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ajkalale
Obsidian | Level 7

Is the test data and the validation dataset the same?

1 ACCEPTED SOLUTION

Accepted Solutions
Reeza
Super User

The terms can vary a bit. But the idea is three datasets:

 

  1. training - used to develop a model
  2. validation - used to calibrate model. If model doesn’t perform well, revisit model and use this data to validate
  3. test - used in final stages, to get final model accuracy  numbers. Used to prevent over fitting and provide an 'honest assessment’. You would not retrain a model if this didn’t score well 

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1 REPLY 1
Reeza
Super User

The terms can vary a bit. But the idea is three datasets:

 

  1. training - used to develop a model
  2. validation - used to calibrate model. If model doesn’t perform well, revisit model and use this data to validate
  3. test - used in final stages, to get final model accuracy  numbers. Used to prevent over fitting and provide an 'honest assessment’. You would not retrain a model if this didn’t score well 

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