scikit-learn random state in splitting dataset

Question

Can anyone tell me why we set random state to zero in splitting train and test set.

X_train, X_test, y_train, y_test = \\
    train_test_split(X, y, test_size         


        

Answer 1

The random_state splits a randomly selected data but with a twist. And the twist is the order of the data will be same for a particular value of random_state.You need to understand that it's not a bool accpeted value. starting from 0 to any integer no, if you pass as random_state,it'll be a permanent order for it. Ex: the order you will get in random_state=0 remain same. After that if you execuit random_state=5 and again come back to random_state=0 you'll get the same order. And like 0 for all integer will go same. How ever random_state=None splits randomly each time.

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