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[pre-commit.ci] auto fixes from pre-commit.com hooks
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machine_learning/catboost_regressor.py

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@@ -23,7 +23,7 @@ def data_handling() -> tuple:
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Loads and handles the dataset, splitting it into features and targets.
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The Boston dataset is used as a regression example.
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Returns:
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tuple: A tuple of (features, target), where both are numpy arrays.
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@@ -90,5 +90,6 @@ def main() -> None:
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if __name__ == "__main__":
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import doctest
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doctest.testmod(verbose=True)
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main()

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