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Let's say you're working on a classification problem where you have labels encoded in a matrix form, and you want to use these labels to train a model. You could use the methods above to create additional features that might help improve your model's performance.

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# Proceed with model training X_train, X_test, y_train, y_test = train_test_split(X_new, y, test_size=0.2, random_state=42)