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*: remove reference to (removed) Python 3.9

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*: py-numpy needs Python >= 3.11 now

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py-scikit-learn: updated to 1.6.1
1.6
https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_6_0.html

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*: clean-up after python38 removal

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py-scikit-learn: updated to 1.5.2
Version 1.5.2
Changes impacting many modules
- |Fix| Fixed performance regression in a few Cython modules in
  `sklearn._loss`, `sklearn.manifold`, `sklearn.metrics` and `sklearn.utils`,
  which were built without OpenMP support.
Changelog
:mod:`sklearn.calibration`
- |Fix| Raise error when :class:`~sklearn.model_selection.LeaveOneOut` used in
  `cv`, matching what would happen if `KFold(n_splits=n_samples)` was used.
:mod:`sklearn.compose`
- |Fix| Fixed :class:`compose.TransformedTargetRegressor` not to raise \ 
`UserWarning` if
  transform output is set to `pandas` or `polars`, since it isn't a transformer.
:mod:`sklearn.decomposition`
- |Fix| Increase rank defficiency threshold in the whitening step of
  :class:`decomposition.FastICA` with `whiten_solver="eigh"` to improve the
  platform-agnosticity of the estimator.
:mod:`sklearn.metrics`
- |Fix| Fix a regression in :func:`metrics.accuracy_score` and in
  :func:`metrics.zero_one_loss` causing an error for Array API dispatch with \ 
multilabel
  inputs.
:mod:`sklearn.svm`
- |Fix| Fixed a regression in :class:`svm.SVC` and :class:`svm.SVR` such that we \ 
accept

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py-scikit-learn: meson checks for gcc>=8, GCC_REQD it

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py-scikit-learn: fix build on NetBSD

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py-scikit-learn: revert previous
Committed by accident.