SAP interview Questions | hyperparameters

Question

For tuning hyperparameters of your machine learning model, what will be the ideal seed?

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Dhruv2301 55 years 2 Answers 923 views Great Grand Master -1

Answers ( 2 )

  1. Seed is ideally used so that when you re-run your models , the same set of observations
    go in the train and test set and you are able to replicate the results. So, you can set any seed but
    stick to it throughout the process.

  2. We can take any seed. There is no hard and fast rule that for hyper paramneter tuning, a particular seed has to be chosen. But we have to make sure the seed is same for all the models.

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