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Results 91 - 100 of 786 for test (0.1 sec)

  1. RANSACRegressor — scikit-learn 1.5.0 documentation

    the mean accuracy on the given test data, which is used for the...Attributes : estimator_ object Best fitted model (copy of the estimator...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html
    Fri Jun 07 19:49:38 UTC 2024
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  2. 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
    Fri Jun 07 19:49:38 UTC 2024
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  3. Out-of-core classification of text documents — ...

    - tick test_stats [ "n_test" ] += len ( y_test ) test_stats [...%(n_test)6d test docs ( %(n_test_pos)6d positive) " % test_stats...
    scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html
    Fri Jun 07 19:49:37 UTC 2024
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  4. Gradient Boosting Out-of-Bag estimates — scikit...

    -= test_score [ 0 ] test_best_iter = x [ np . argmin ( test_score...x = test_best_iter , color = test_color , linestyle = test_line...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html
    Fri Jun 07 19:49:37 UTC 2024
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  5. Balance model complexity and cross-validated sc...

    deviation of the best `mean_test_score`. """ best_score_idx = np...][ best_score_idx ] - cv_results [ "std_test_score" ][ best_score_idx...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html
    Fri Jun 07 19:49:37 UTC 2024
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  6. Post-tuning the decision threshold for cost-sen...

    ]( est , X_test , y_test ), scoring [ "precision" ]( est , X_test..."fpr" ]( est , X_test , y_test ), scoring [ "tpr" ]( est , X_test...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html
    Fri Jun 07 19:49:37 UTC 2024
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  7. Single estimator versus bagging: bias-variance ...

    ( y ) X_test , y_test = generate ( n_samples = n_test , noise...training set n_test = 1000 # Size of the test set noise = 0.1...
    scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html
    Fri Jun 07 19:49:38 UTC 2024
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  8. GMM covariances — scikit-learn 1.5.0 documentation

    train_index ] X_test = iris . data [ test_index ] y_test = iris . target...transAxes ) y_test_pred = estimator . predict ( X_test ) test_accuracy...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html
    Fri Jun 07 19:49:37 UTC 2024
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  9. Nested versus non-nested cross-validation — sci...

    ) non_nested_scores [ i ] = clf . best_score_ # Nested CV with...[ non_nested_scores_line , nested_line ], [ "Non-Nested CV" ,...
    scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html
    Fri Jun 07 19:49:38 UTC 2024
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  10. Dimensionality Reduction with Neighborhood Comp...

    train/test X_train , X_test , y_train , y_test = train_test_split...( model . transform ( X_test ), y_test ) # Embed the data set...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html
    Fri Jun 07 19:49:38 UTC 2024
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