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Results 21 - 30 of 117 for cms (0.06 sec)

  1. Visualizations with Display Objects — scikit-le...

    X_test ) cm = confusion_matrix ( y_test , y_pred ) cm_display...cm_display = ConfusionMatrixDispl ( cm ) . plot () Create RocCurveDisplay...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html
    Thu May 16 17:15:45 UTC 2024
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  2. SGD: Weighted samples — scikit-learn 1.4.2 docu...

    cm . bone , edgecolor = "black"...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html
    Thu May 16 17:15:46 UTC 2024
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  3. Selecting the number of clusters with silhouett...

    cm as cm import matplotlib.pyplot as...y_lower + size_cluster_i color = cm . nipy_spectral ( float ( i )...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html
    Thu May 16 17:15:45 UTC 2024
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  4. Empirical evaluation of the impact of k-means i...

    cm as cm import matplotlib.pyplot as...my_members = km . labels_ == k color = cm . nipy_spectral ( float ( k )...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.html
    Thu May 16 17:15:45 UTC 2024
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  5. 1.10. Decision Trees — scikit-learn 1.4.2 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
    Thu May 16 17:15:47 UTC 2024
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  6. Varying regularization in Multi-layer Perceptro...

    the dataset first cm = plt . cm . RdBu cm_bright = ListedColormap...[:, 1 ], c = y_train , cmap = cm_bright ) # and testing points...
    scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.html
    Thu May 16 17:15:46 UTC 2024
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  7. SVM Tie Breaking Example — scikit-learn 1.4.2 d...

    cm . Accent ( i ) for i in [ 0 ,...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html
    Thu May 16 17:15:45 UTC 2024
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  8. Image denoising using dictionary learning — sci...

    cm . gray , interpolation = "nearest"...0.5 , vmax = 0.5 , cmap = plt . cm . PuOr , interpolation = "nearest"...
    scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html
    Thu May 16 17:15:45 UTC 2024
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  9. RBF SVM parameters — scikit-learn 1.4.2 documen...

    cm . RdBu ) plt . scatter ( X_2d...1 ], c = y_2d , cmap = plt . cm . RdBu_r , edgecolors = "k" )...
    scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html
    Thu May 16 17:15:45 UTC 2024
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  10. Logistic Regression 3-class Classifier — scikit...

    cm . Paired , ax = ax , response_method...edgecolors = "k" , cmap = plt . cm . Paired ) plt . xticks (())...
    scikit-learn.org/stable/auto_examples/linear_model/plot_iris_logistic.html
    Thu May 16 17:15:45 UTC 2024
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