English, asked by nagamani5583, 9 months ago

Hold-Out dataset is used for​

Answers

Answered by Anonymous
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.

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Answered by rahul75capt
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:

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