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Results 101 - 110 of 837 for tests (0.11 sec)

  1. Release Highlights for scikit-learn 0.23 — scik...

    X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test )) print ( gbdt . score ( X_test , y_test...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html
    Thu May 08 11:40:27 UTC 2025
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  2. MNIST classification using multinomial logistic...

    X_test , y_train , y_test = train_test_split ( X ,...( X_train ) X_test = scaler . transform ( X_test ) # Turn up tolerance...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html
    Thu May 08 11:40:27 UTC 2025
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  3. 10. Common pitfalls and recommended practices —...

    X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......
    scikit-learn.org/stable/common_pitfalls.html
    Thu May 08 11:40:27 UTC 2025
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  4. Kernel PCA — scikit-learn 1.6.1 documentation

    X_test , y_train , y_test = train_test_split ( X ,..."Training data" ) test_ax . scatter ( X_test [:, 0 ], X_test [:, 1 ],...
    scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html
    Thu May 08 11:40:27 UTC 2025
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  5. Classification of text documents using sparse f...

    predict ( X_test ) test_time = time () - t0 print ( f "test time: {..., ) data_test = fetch_20newsgroups ( subset = "test" , categories...
    scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html
    Thu May 08 11:40:27 UTC 2025
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  6. Class Likelihood Ratios to measure classificati...

    import train_test_split X_train , X_test , y_train , y_test = train_test_split...the link between pre-test and post-test odds given by the Class...
    scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html
    Thu May 08 11:40:27 UTC 2025
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  7. Precision-Recall — scikit-learn 1.6.1 documenta...

    and test X_train , X_test , y_train , y_test = train_test_split...and test X_train , X_test , Y_train , Y_test = train_test_split...
    scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html
    Thu May 08 11:40:27 UTC 2025
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  8. plot_classifier_comparison.rst.txt

    and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...
    scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt
    Thu May 08 11:40:27 UTC 2025
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  9. Prediction Intervals for Gradient Boosting Regr...

    test datasets: X_train , X_test , y_train , y_test = train_test_split...( X_test , y_test , "b." , markersize = 10 , label = "Test observations"...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html
    Thu May 08 11:40:27 UTC 2025
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  10. PredefinedSplit — scikit-learn 1.6.1 documentation

    Provides train/test indices to split data into train/test sets using...The entry test_fold[i] represents the index of the test set that...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html
    Thu May 08 11:40:28 UTC 2025
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