The risk of overfitting can be increased if the same data is used for both _________ and _________ of the Machine Learning model.

  • evaluation, processing
  • training, testing
  • training, validation
  • validation, training
If the same data is used for both "training" and "testing," the model may perform well on that data but poorly on unseen data, leading to overfitting.
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