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-[`mlxtend/classifier/stacking_cv_classification.py`](https://github.com/rasbt/mlxtend/blob/master/mlxtend/classifier/stacking_cv_classification.py) and [`mlxtend/regressor/stacking_cv_regression.py`](https://github.com/rasbt/mlxtend/blob/master/mlxtend/regressor/stacking_cv_regression.py)
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- Compatibility with latest scikit-learn (1.8.0) and pandas versions (2.3.3)
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-[`mlxtend/classifier/stacking_cv_classification.py`](https://github.com/rasbt/mlxtend/blob/master/mlxtend/classifier/stacking_cv_classification.py) and [`mlxtend/regressor/stacking_cv_regression.py`](https://github.com/rasbt/mlxtend/blob/master/mlxtend/regressor/stacking_cv_regression.py)
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- Modified `meta_features` to ensure compatibility with *scikit-learn* versions 1.4 and above by dynamically selecting between `fit_params` and `params` in `cross_val_predict`.
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