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  1. Decision Tree Regression — scikit-learn 1.7.2 d...

    color = "yellowgreen" , label = "max_depth=5" , linewidth = 2 )...1 ], c = "red" , s = s , edgecolor = "black" , label = "max_depth=5"...
    scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html
    Sun Oct 12 02:56:17 UTC 2025
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  2. Plot the decision surfaces of ensembles of tree...

    mean ( axis = 0 ) std = X . std ( axis = 0 ) X = ( X - mean ) /...Parameters n_classes = 3 n_estimators = 30 cmap = plt . cm . RdYlBu...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html
    Sun Oct 12 02:56:17 UTC 2025
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  3. GitHub - codelibs/fess-testdata: Test Data Repo...

    height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true"...aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16"...
    github.com/codelibs/fess-testdata
    Mon Oct 13 00:00:25 UTC 2025
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  4. Statistical comparison of models using grid sea...

    hue = y , marker = "o" , s = 25 , edgecolor = "k" , legend...n_splits = 10 , n_repeats = 10 , random_state = 0 ) search = GridSearchCV...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html
    Sun Oct 12 02:56:17 UTC 2025
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  5. Feature transformations with ensembles of trees...

    max_depth = max_depth , random_state = 10 ) _ = gradient_boosting...RandomTreesEmbedding(max_depth=3, n_estimators=10, random_state=0)), ('logisticregression',...
    scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html
    Sun Oct 12 02:56:14 UTC 2025
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  6. Image denoising using dictionary learning — sci...

    n_components = 50 , batch_size = 200 , alpha = 1.0 , max_iter = 10 ,...imshow ( image , vmin = 0 , vmax = 1 , cmap = plt . cm . gray , interpolation...
    scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html
    Sun Oct 12 02:56:16 UTC 2025
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  7. SGDClassifier — scikit-learn 1.7.2 documentation

    tol = 0.001 , shuffle = True , verbose = 0 , epsilon = 0.1 , n_jobs...SGDClassifier ( loss = 'hinge' , * , penalty = 'l2' , alpha = 0.0001 , l1_ratio...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html
    Sun Oct 12 02:56:14 UTC 2025
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  8. LassoCV — scikit-learn 1.7.2 documentation

    fit_intercept = True , precompute = 'auto' , max_iter = 1000 , tol = 0.0001...copy_X = True , cv = None , verbose = False , n_jobs = None ,...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html
    Sun Oct 12 02:56:14 UTC 2025
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  9. MultiTaskLassoCV — scikit-learn 1.7.2 documenta...

    fit_intercept = True , max_iter = 1000 , tol = 0.0001 , copy_X = True...precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html
    Sun Oct 12 02:56:14 UTC 2025
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  10. clustering.rst.txt

    ========== ========== ========== ``assign_labels="kmeans"``...|coin_cluster_qr| ========== ========== ========== .. dropdown:: References...
    scikit-learn.org/stable/_sources/modules/clustering.rst.txt
    Sun Oct 12 02:56:14 UTC 2025
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