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  1. Kernel Density Estimation — scikit-learn 1.8.0 ...

    cm . binary , interpolation = "nearest"...reshape (( 8 , 8 )), cmap = plt . cm . binary , interpolation = "nearest"...
    scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. export_text — scikit-learn 1.8.0 documentation

    width (cm) <= 0.80 | |--- class: 0 |--- petal width (cm) > 0.80...width (cm) <= 1.75 | | |--- class: 1 | |--- petal width (cm) > 1.75...
    scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html
    Mon Mar 23 20:39:20 UTC 2026
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  3. Compare the effect of different scalers on data...

    5 cmap = getattr ( cm , "plasma_r" , cm . hot_r ) def create_axes...as np from matplotlib import cm from matplotlib import pyplot...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html
    Mon Mar 23 20:39:21 UTC 2026
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  4. Label Propagation digits: Active learning — sci...

    true_labels = y [ unlabeled_indices ] cm = confusion_matrix ( true_labels..."Confusion matrix" ) print ( cm ) # compute the entropies of...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits_active_learni...
    Mon Mar 23 20:39:22 UTC 2026
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  5. Plot different SVM classifiers in the iris data...

    cm . coolwarm , alpha = 0.8 , ax...X0 , X1 , c = y , cmap = plt . cm . coolwarm , s = 20 , edgecolors...
    scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html
    Mon Mar 23 20:39:22 UTC 2026
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  6. Probability calibration of classifiers — scikit...

    as plt from matplotlib import cm plt . figure () y_unique = np...np . unique ( y ) colors = cm . rainbow ( np . linspace ( 0.0...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html
    Mon Mar 23 20:39:22 UTC 2026
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  7. Iso-probability lines for Gaussian Processes cl...

    as np from matplotlib import cm from matplotlib import pyplot...plt . imshow ( y_prob , cmap = cm . gray_r , alpha = 0.8 , extent...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html
    Mon Mar 23 20:39:20 UTC 2026
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  8. Classifier comparison — scikit-learn 1.8.0 docu...

    plot the dataset first cm = plt . cm . RdBu cm_bright = ListedColormap...from_estimator ( clf , X , cmap = cm , alpha = 0.8 , ax = ax , eps...
    scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. 1.10. Decision Trees — scikit-learn 1.8.0 docum...

    width (cm) <= 0.80 | |--- class: 0 |--- petal width (cm) > 0.80...width (cm) <= 1.75 | | |--- class: 1 | |--- petal width (cm) > 1.75...
    scikit-learn.org/stable/modules/tree.html
    Mon Mar 23 20:39:23 UTC 2026
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  10. Compressive sensing: tomography reconstruction ...

    cm . gray , interpolation = "nearest"...imshow ( rec_l2 , cmap = plt . cm . gray , interpolation = "nearest"...
    scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html
    Mon Mar 23 20:39:20 UTC 2026
      18K bytes
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