<p dir="auto">I realize that <a href="https://scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html" rel="nofollow">permutation_importance</a> is a better and less biased measure than Impurity-based feature importance but it still has it uses. As illustrated <a href="https://scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance_multicollinear.html" rel="nofollow">here </a> multi-collinearity can be an issue. Comparing permutation and impurity based importances is a good way to understand multicollinear issues and your true feature importance.</p>
<p dir="auto">Can a method like in GradientBoostingRegressor be added? This <a href="https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html#sklearn.ensemble.GradientBoostingRegressor.feature_importances_" rel="nofollow">method</a>.</p>
<h4 dir="auto">Description</h4>
<p dir="auto">numpydoc appends a randomized number at the end of references link tags.<br>
Related to issue <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="244170163" data-permission-text="Title is private" data-url="https://github.com/scikit-learn/scikit-learn/issues/9417" data-hovercard-type="issue" data-hovercard-url="/scikit-learn/scikit-learn/issues/9417/hovercard" href="https://github.com/scikit-learn/scikit-learn/issues/9417">#9417</a> and pull request <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="244242847" data-permission-text="Title is private" data-url="https://github.com/scikit-learn/scikit-learn/issues/9420" data-hovercard-type="pull_request" data-hovercard-url="/scikit-learn/scikit-learn/pull/9420/hovercard" href="https://github.com/scikit-learn/scikit-learn/pull/9420">#9420</a>.</p>
<p dir="auto">The issue is, a random number is generated even after making all duplicate tags unique.</p>
<p dir="auto">Check out this <a href="https://12484-843222-gh.circle-artifacts.com/0/home/ubuntu/scikit-learn/doc/_build/html/stable/modules/generated/sklearn.covariance.MinCovDet.html" rel="nofollow">link</a> for Rouseeuw tags.</p>