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Ideally, you can split your original dataset into input (X) and output (y) columns, then call the function passing both arrays and have them. Split arrays or matrices into random train and test subsets. Quick utility that wraps input validation and next(ShuffleSplit().split(X, y)) and application. x Train and y Train become data for the machine learning, capable to create a model. Once the model is created, input x Test and the output should be equal to y.