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Pushing the docs to dev/ for branch: main, commit f2cbedbca5d2c529f41138913ca890370999420a
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dev/_downloads/3c3c738275484acc54821615bf72894a/plot_permutation_importance.py

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).sort_values(ascending=True)
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# %%
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ax = mdi_importances.plot.box(vert=False, whis=10)
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ax.set_title("Permutation Importances (test set)")
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ax.axvline(x=0, color="k", linestyle="--")
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ax.set_xlabel("Decrease in accuracy score")
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ax = mdi_importances.plot.barh()
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ax.set_title("Random Forest Feature Importances (MDI)")
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ax.figure.tight_layout()
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# %%
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dev/_downloads/f99bb35c32eb8028063a1428c3999b84/plot_permutation_importance.ipynb

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},
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"outputs": [],
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"source": [
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"ax = mdi_importances.plot.box(vert=False, whis=10)\nax.set_title(\"Permutation Importances (test set)\")\nax.axvline(x=0, color=\"k\", linestyle=\"--\")\nax.set_xlabel(\"Decrease in accuracy score\")\nax.figure.tight_layout()"
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"ax = mdi_importances.plot.barh()\nax.set_title(\"Random Forest Feature Importances (MDI)\")\nax.figure.tight_layout()"
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]
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},
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{

dev/_downloads/scikit-learn-docs.zip

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dev/_sources/auto_examples/applications/plot_cyclical_feature_engineering.rst.txt

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dev/_sources/auto_examples/applications/plot_digits_denoising.rst.txt

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dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt

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dev/_sources/auto_examples/applications/plot_model_complexity_influence.rst.txt

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dev/_sources/auto_examples/applications/plot_out_of_core_classification.rst.txt

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dev/_sources/auto_examples/applications/plot_outlier_detection_wine.rst.txt

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dev/_sources/auto_examples/applications/plot_prediction_latency.rst.txt

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dev/_sources/auto_examples/applications/plot_species_distribution_modeling.rst.txt

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dev/_sources/auto_examples/applications/plot_stock_market.rst.txt

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dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.rst.txt

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dev/_sources/auto_examples/applications/plot_topics_extraction_with_nmf_lda.rst.txt

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