If a validation data is used to mitigate overfitting in decision tree construction, which one is a correct description of the approach? Question 10 options: A validation data is used to measure performance, not to mitigate overfitting Stop training once a reduction in validation accuracy is observed Continue the training until training accuracy no longer improves Continue the training as long as either training or validation accuracy improves