The purpose of setting the random_state parameter in train_test_split is:
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● Fundamentally, by setting the random_state , you ensure that the (pseudo-) irregular number generator produces a similar arrangement of arbitrary whole numbers each time, which thus affects the manner in which your information is examined.
● Random_state as the name proposes, is utilized for introducing the inner arbitrary number generator, which will choose the parting of information into train and test files for your situation.
● In the documentation, it is expressed that: If random_state is None or np.random, at that point a haphazardly introduced RandomState object is returned.
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