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  1. Test with permutations the significance of a cl...

    This example demonstrates the use of permutation_test_score to evaluate the significance of a cross-validated score using permutations. Dataset: We will use the Iris plants dataset, which consists ...
    scikit-learn.org/stable/auto_examples/model_selection/plot_permutation_tests_for_classification.html
    Mon Jul 07 14:36:35 UTC 2025
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  2. extract_patches_2d — scikit-learn 1.7.0 documen...

    Gallery examples: Online learning of a dictionary of parts of faces Image denoising using dictionary learning
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.extract_patches_2d.html
    Mon Jul 07 14:36:34 UTC 2025
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  3. sklearn.neural_network — scikit-learn 1.7.0 doc...

    Models based on neural networks. User guide. See the Neural network models (supervised) and Neural network models (unsupervised) sections for further details.
    scikit-learn.org/stable/api/sklearn.neural_network.html
    Mon Jul 07 14:36:35 UTC 2025
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  4. explained_variance_score — scikit-learn 1.7.0 d...

    Skip to main content Back to top Ctrl + K GitHub Choose version explained_variance_score # sklearn.metrics. explained...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html
    Mon Jul 07 14:36:35 UTC 2025
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  5. median_absolute_error — scikit-learn 1.7.0 docu...

    Gallery examples: Effect of transforming the targets in regression model Common pitfalls in the interpretation of coefficients of linear models
    scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html
    Mon Jul 07 14:36:35 UTC 2025
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  6. fetch_lfw_people — scikit-learn 1.7.0 documenta...

    Gallery examples: Faces recognition example using eigenfaces and SVMs
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html
    Mon Jul 07 14:36:35 UTC 2025
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  7. make_column_transformer — scikit-learn 1.7.0 do...

    Gallery examples: Categorical Feature Support in Gradient Boosting Combine predictors using stacking Common pitfalls in the interpretation of coefficients of linear models Displaying estimators and...
    scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_transformer.html
    Mon Jul 07 14:36:34 UTC 2025
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  8. load_sample_images — scikit-learn 1.7.0 documen...

    Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_images # sklearn.datasets. load_sample_im...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_images.html
    Mon Jul 07 14:36:35 UTC 2025
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  9. Permutation Importance with Multicollinear or C...

    In this example, we compute the permutation_importance of the features to a trained RandomForestClassifier using the Breast cancer Wisconsin (diagnostic) dataset. The model can easily get about 97%...
    scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance_multicollinear.html
    Mon Jul 07 14:36:35 UTC 2025
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  10. cross_val_predict — scikit-learn 1.7.0 document...

    Gallery examples: Combine predictors using stacking Plotting Cross-Validated Predictions
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html
    Mon Jul 07 14:36:35 UTC 2025
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