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  1. Univariate Feature Selection — scikit-learn 1.8...

    shape [ - 1 ]) plt . figure ( 1 ) plt . clf () plt ....RandomState ( 42 ) . uniform ( 0 , 0.1 , size = ( X . shape [ 0 ], 20...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html
    Tue Mar 17 03:44:38 UTC 2026
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  2. Comparison of kernel ridge and Gaussian process...

    reshape ( - 1 , 1 ) target = np . sin ( data )...ExpSineSquared(length_scale=1, periodicity=1) Our kernel has two parameters:...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html
    Tue Mar 17 03:44:39 UTC 2026
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  3. Release History — scikit-learn 1.8.0 documentation

    Version 1.1.2 Version 1.1.1 Version 1.1.0 Version 1.0 Version 1.0.2...Version 1.2.1 Version 1.2.0 Version 1.1 Version 1.1.3 Version...
    scikit-learn.org/stable/whats_new.html
    Tue Mar 17 03:44:39 UTC 2026
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  4. Comparison of LDA and PCA 2D projection of Iris...

    1 , 2 ], target_names ): plt . scatter...y == i , 0 ], X_r [ y == i , 1 ], color = color , alpha = 0.8...
    scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html
    Tue Mar 17 03:44:38 UTC 2026
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  5. Illustration of Gaussian process classification...

    kernels = [ 1.0 * RBF ( length_scale = 1.15 ), 1.0 * DotProduct...)[:, 1 ] Z = Z . reshape ( xx . shape ) plt . subplot ( 1 , 2...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html
    Tue Mar 17 03:44:36 UTC 2026
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  6. Bisecting K-Means and Regular K-Means Performan...

    1 ], s = 10 , c = algo . labels_...centers [:, 0 ], centers [:, 1 ], c = "r" , s = 20 ) axs [ j...
    scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html
    Tue Mar 17 03:44:38 UTC 2026
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  7. MetadataRouter — scikit-learn 1.8.0 docum...

    Added in version 1.3. Parameters : owner object The...sub-estimators). Added in version 1.4. Parameters : method str The...
    scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRouter.html
    Mon Feb 16 16:32:33 UTC 2026
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  8. Comparing Random Forests and Histogram Gradient...

    row = 1 , col = 1 ) fig . add_trace ( line_trace , row = 1 , col...row = 1 , col = 2 ) fig . add_trace ( line_trace , row = 1 , col...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html
    Tue Mar 17 03:44:36 UTC 2026
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  9. SVM with custom kernel — scikit-learn 1.8.0 doc...

    T (0 1) """ M = np . array ([[ 2 , 0 ], [ 0 , 1.0 ]]) return.... scatter ( X [:, 0 ], X [:, 1 ], c = Y , cmap = plt . cm . Paired...
    scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html
    Tue Mar 17 03:44:38 UTC 2026
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  10. 3.4. Metrics and scoring: quantifying the quali...

    1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,..., 0 , 1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,...
    scikit-learn.org/stable/modules/model_evaluation.html
    Tue Mar 17 03:44:39 UTC 2026
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