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# How do you set a fixed number of Random sampling and run this many times?

Problem: I am using sample stratified.. BUT the results are the same each time. It is not picking random samples each time out of my total dataset when using "sample stratified" operator. Is there a way to set the exact amount of sample size when using the cross validation operator?

I have two datasets that I am merging. The first dataset is 600 rows and the 2nd dataset is 800 rows.

- I want to take a random sample with a fixed size 125 for each set, BUT I want to take many random fixed samples from each set to test if I my top features are the same each time when runn my ML model.

What operators should I use?

I have two datasets that I am merging. The first dataset is 600 rows and the 2nd dataset is 800 rows.

- I want to take a random sample with a fixed size 125 for each set, BUT I want to take many random fixed samples from each set to test if I my top features are the same each time when runn my ML model.

What operators should I use?

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## Answers

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