Update dependency scikit_learn to v1.1.3

[renovate[bot]]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
scikit_learn (source)	==1.0.2 -> ==1.1.3

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Release Notes

scikit-learn/scikit-learn

### [`v1.1.3`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.1.3): scikit-learn 1.1.3 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.1.2...1.1.3) We're happy to announce the 1.1.3 release. This bugfix release only includes fixes for compatibility with the latest SciPy release >= 1.9.2 and wheels for Python 3.11. Note that support for 32-bit Python on Windows has been dropped in this release. This is due to the fact that SciPy 1.9.2 also dropped the support for that platform. Windows users are advised to install the 64-bit version of Python instead. You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.1.html#version-1-1-3 You can upgrade with pip as usual: pip install -U scikit-learn The conda-forge builds will be available shortly, which you can then install using: conda install -c conda-forge scikit-learn ### [`v1.1.2`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.1.2): scikit-learn 1.1.2 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.1.1...1.1.2) We're happy to announce the 1.1.2 release with several bugfixes: You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.1.html#version-1-1-2 You can upgrade with pip as usual: pip install -U scikit-learn The conda-forge builds will be available shortly, which you can then install using: conda install -c conda-forge scikit-learn ### [`v1.1.1`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.1.1): scikit-learn 1.1.1 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.1.0...1.1.1) We're happy to announce the 1.1.1 release with several bugfixes: You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.1.html#version-1-1-1 You can upgrade with pip as usual: pip install -U scikit-learn The conda-forge builds will be available shortly, which you can then install using: conda install -c conda-forge scikit-learn ### [`v1.1.0`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.1.0): scikit-learn 1.1.0 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.0.2...1.1.0) We're happy to announce the 1.1.0 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights\_1\_1\_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.1.html#changes-1-1 This version supports Python versions 3.8 to 3.10.

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Why proper sizing of changes matters

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