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Results 281 - 290 of 1,752 for test (0.11 sec)

  1. 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 Dec 20 11:14:14 UTC 2024
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  2. Decision Tree Regression — scikit-learn 1.6.0 d...

    Get predictions on the test set X_test = np . arange ( 0.0 , 5.0...predict ( X_test ) y_2 = regr_2 . predict ( X_test ) Plot the...
    scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html
    Fri Dec 20 11:14:14 UTC 2024
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  3. Sample pipeline for text feature extraction and...

    ) data_test = fetch_20newsgroups ( subset = "test" , categories...vect__norm: l1 test_accuracy = random_search . score ( data_test . data...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html
    Fri Dec 20 11:14:18 UTC 2024
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  4. Contributing — scikit-learn 1.6.0 documentation

    sklearn/linear_model/tests/test_logistic.py to run the tests specific to...sklearn path/to/tests See also Testing and improving test coverage ....
    scikit-learn.org/stable/developers/contributing.html
    Fri Dec 20 11:14:18 UTC 2024
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  5. Gradient Boosting regression — scikit-learn 1.6...

    X_test , y_train , y_test = train_test_split ( X ,...mean_squared_error ( y_test , reg . predict ( X_test )) print ( "The...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html
    Fri Dec 20 11:14:14 UTC 2024
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  6. OneVsOneClassifier — scikit-learn 1.6.0 documen...

    X_test , y_train , y_test = train_test_split ( ......sklearn.model_selection import train_test_split >>> from sklearn.multiclass...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html
    Fri Dec 20 11:14:16 UTC 2024
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  7. Comparing Random Forests and Histogram Gradient...

    significant improvement of the testing score. Plot results # We can...elapsed computing time and mean test score. Passing the cursor over...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html
    Fri Dec 20 11:14:18 UTC 2024
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  8. GMM covariances — scikit-learn 1.6.0 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 Dec 20 11:14:18 UTC 2024
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  9. Comparison of kernel ridge regression and SVR —...

    train_time = [] test_time = [] for train_test_size in sizes :...fit ( X [: train_test_size ], y [: train_test_size ]) train_time...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html
    Fri Dec 20 11:14:14 UTC 2024
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  10. TunedThresholdClassifierCV — scikit-learn 1.6.0...

    X_test , y_train , y_test = train_test_split ( ......classification_report ( y_test , classifier . predict ( X_test ))) precision...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html
    Fri Dec 20 11:14:16 UTC 2024
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