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Results 31 - 40 of 630 for test (0.15 sec)

  1. f_regression — scikit-learn 1.5.0 documentation

    Comparison of F-test and mutual information Comparison of F-test and mutual...Univariate linear regression tests returning F-statistic and p-values....
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html
    Wed Jun 05 00:53:45 UTC 2024
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  2. fetch_20newsgroups_vectorized — scikit-learn 1....

    test’ for the test set, ‘all’ for both,...Parameters : subset {‘train’, ‘test’, ‘all’}, default=’train’ Select...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html
    Wed Jun 05 00:53:46 UTC 2024
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  3. MultinomialNB — scikit-learn 1.5.0 documentation

    classification of text documents Out-of-core classification of text documents...classification on an array of test vectors X. Parameters : X array-like...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html
    Wed Jun 05 00:53:46 UTC 2024
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  4. OutputCodeClassifier — scikit-learn 1.5.0 docum...

    the mean accuracy on the given test data and labels. In multi-label...shape (n_samples, n_features) Test samples. y array-like of shape...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html
    Wed Jun 05 00:53:47 UTC 2024
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  5. AdaBoostClassifier — scikit-learn 1.5.0 documen...

    achieving a lower test error with fewer boosting iterations....the mean accuracy on the given test data and labels. In multi-label...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html
    Wed Jun 05 00:53:45 UTC 2024
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  6. ClassifierMixin — scikit-learn 1.5.0 documentation

    the mean accuracy on the given test data and labels. In multi-label...shape (n_samples, n_features) Test samples. y array-like of shape...
    scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html
    Wed Jun 05 00:53:46 UTC 2024
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  7. MLPRegressor — scikit-learn 1.5.0 documentation

    X_test , y_train , y_test = train_test_split ( X ,...-7.1...]) >>> regr . score ( X_test , y_test ) 0.4... fit ( X , y ) [source]...
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html
    Wed Jun 05 00:53:47 UTC 2024
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  8. fetch_20newsgroups — scikit-learn 1.5.0 documen...

    test’ for the test set, ‘all’ for both,...on a Text Dataset Semi-supervised Classification on a Text Dataset...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html
    Wed Jun 05 00:53:45 UTC 2024
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  9. 3.1. Cross-validation: evaluating estimator per...

    available data as a test set X_test, y_test . Note that the word...X_train , X_test , y_train , y_test = train_test_split ( ......
    scikit-learn.org/stable/modules/cross_validation.html
    Wed Jun 05 00:53:47 UTC 2024
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  10. Real User Monitoring (RUM) with Elastic Observa...

    and test your user journeys all within...Learn more Synthetic monitoring Test user journeys to deliver a great...
    www.elastic.co/observability/real-user-monitoring
    Wed Jun 05 00:05:51 UTC 2024
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