The code in the other post is incorrect. Please include copy of the result when run!

Part 2 : Split a dataset into test and train In supervised learning, the dataset is usually split into a train set (on which the model is trained) and a test set (to evaluate the trained model). This part of the homework requires writing a function split_into_train_and_test that takes a dataset and the test-train split ration as input, and provides the data split as an output. The function takes a random_state variable as input, which when kept the same outputs precisely the same split for arbitrary runs of the function