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Results 81 - 100 of 863 for test (0.06 sec)

  1. Faces recognition example using eigenfaces and ...

    X_test , y_train , y_test = train_test_split ( X , y , test_size...set and a test and keep 25% of the data for testing. X_train ,...
    scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html
    Thu May 09 23:01:25 UTC 2024
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  2. 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
    Thu May 09 23:01:25 UTC 2024
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  3. Kernel PCA — scikit-learn 1.4.2 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 09 23:01:25 UTC 2024
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  4. Who Has the Right to “Disrupt” the University?

    speech by creating a new litmus test for what kind of protest activity...had warned protesters , or the rest of their campus communities,...
    jewishcurrents.org/who-has-the-right-to-disrupt-the-university
    Mon May 06 15:38:04 UTC 2024
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  5. Multiclass sparse logistic regression on 20newg...

    X_test , y_train , y_test = train_test_split ( X ,...predict ( X_test ) accuracy = np . sum ( y_pred == y_test ) / y_test...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_20newsgroups.html
    Thu May 09 23:01:25 UTC 2024
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  6. 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
    Thu May 09 23:01:25 UTC 2024
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  7. Shrinkage covariance estimation: LedoitWolf vs ...

    coloring_matrix ) X_test = np . dot ( base_X_test , coloring_matrix...ymin , - cv . best_estimator_ . score ( X_test ), color = "cyan"...
    scikit-learn.org/stable/auto_examples/covariance/plot_covariance_estimation.html
    Thu May 09 23:01:25 UTC 2024
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  8. Linear Regression Example — scikit-learn 1.4.2 ...

    scatter ( diabetes_X_test , diabetes_y_test , color = "black" )...Split the data into training/testing sets diabetes_X_train = diabetes_X...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ols.html
    Thu May 09 23:01:25 UTC 2024
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  9. Compare cross decomposition methods — scikit-le...

    ) X_test_r , Y_test_r = cca . transform ( X_test , Y_test ) Total...Y_train ) X_test_r , Y_test_r = plsca . transform ( X_test , Y_test...
    scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html
    Thu May 09 23:01:25 UTC 2024
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  10. Release Highlights for scikit-learn 0.22 — scik...

    X_test , y_train , y_test = train_test_split ( X ,...plot_roc_curve(svc, X_test, y_test) # rfc_disp = plot_roc_curve(rfc, X_test, y_test,...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html
    Thu May 09 23:01:25 UTC 2024
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  11. sklearn.covariance.OAS — scikit-learn 1.4.2 doc...

    score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html
    Thu May 09 23:01:25 UTC 2024
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  12. Cross-validation on diabetes Dataset Exercise —...

    regularization Nested versus non-nested cross-validation Nested versus...lasso_cv . score ( X [ test ], y [ test ]) ) ) print () print...
    scikit-learn.org/stable/auto_examples/exercises/plot_cv_diabetes.html
    Thu May 09 23:01:24 UTC 2024
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  13. sklearn.multiclass.OneVsOneClassifier — scikit-...

    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
    Thu May 09 23:01:24 UTC 2024
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  14. 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
    Thu May 09 23:01:25 UTC 2024
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  15. Working With Text Data — scikit-learn 1.4.2 doc...

    >>> docs_test = twenty_test . data >>> predicted = text_clf . predict...object’s best_score_ and best_params_ attributes store the best mean...
    scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.html
    Thu May 09 23:01:24 UTC 2024
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  16. 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
    Thu May 09 23:01:25 UTC 2024
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  17. Overview of multiclass training meta-estimators...

    examples Nested versus non-nested cross-validation Nested versus..."DecisionTreeClassifi" : cv_results_tree [ "test_score" ], "OneVsOneClassifier"...
    scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html
    Thu May 09 23:01:25 UTC 2024
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  18. Gradient Boosting regression — scikit-learn 1.4...

    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
    Thu May 09 23:01:25 UTC 2024
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  19. sklearn.naive_bayes.MultinomialNB — scikit-lear...

    classification of text documents Out-of-core classification of text documents...classification on an array of test vectors X. predict_joint_log_proba...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html
    Thu May 09 23:01:25 UTC 2024
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  20. sklearn.ensemble.ExtraTreesRegressor — scikit-l...

    X_test , y_train , y_test = train_test_split ( ......y_train ) >>> reg . score ( X_test , y_test ) 0.2727... Methods apply...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html
    Thu May 09 23:01:25 UTC 2024
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