SAP interview Questions | hyperparameters
Question
For tuning hyperparameters of your machine learning model, what will be the ideal seed?
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Machine Learning
55 years
2 Answers
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Great Grand Master -1
Answers ( 2 )
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.
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.