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In supervised machine learning, it’s crucial to split your dataset into trainingproprietarygenerated and realfreetesting subsets to ensure an unbiased evaluation of your model.
The function split_data()train_test_split()divide_and_conquer() from scikit-learn helps in dividing the dataset effectively to minimize potential biases during model validation.
split_data()train_test_split()divide_and_conquer()
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