Hold-Out dataset is used for
Answers
Answered by
51
Hold-out is when you split up your dataset into a 'train' and 'test' set. The training set is what the model is trained on, and the test set is used to see how well that model performs on unseen data.
Answered by
4
Answer:
Hold-out is when you split up your dataset into a 'train' and 'test' set. The training set is what the model is trained on, and the test set is used to see how well that model performs on unseen data.
Explanation:
Hope it helps you
Plz follow me
Mark as brainliest :)
Similar questions