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Results 241 - 260 of 1,135 for test (0.15 sec)

  1. 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
    Thu Jun 06 17:04:45 UTC 2024
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  2. 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 Jun 06 17:04:45 UTC 2024
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  3. 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
    Thu Jun 06 17:04:45 UTC 2024
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  4. 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
    Thu Jun 06 17:04:46 UTC 2024
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  5. 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 Jun 06 17:04:47 UTC 2024
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  6. 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 Jun 06 17:04:45 UTC 2024
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  7. SelectFpr — scikit-learn 1.5.0 documentation

    a FPR test. FPR test stands for False Positive Rate test. It controls...simple estimators as well as on nested objects (such as Pipeline )....
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html
    Thu Jun 06 17:04:46 UTC 2024
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  8. 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
    Thu Jun 06 17:04:47 UTC 2024
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  9. RBF SVM parameters — scikit-learn 1.5.0 documen...

    best_params_ , grid . best_score_ ) ) The best parameters...and just applying it on the test set. from sklearn.preprocessing...
    scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html
    Thu Jun 06 17:04:45 UTC 2024
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  10. NeighborhoodComponentsAnalysis — scikit-learn 1...

    X_test , y_train , y_test = train_test_split ( X ,...print ( knn . score ( X_test , y_test )) 0.933333... >>> knn ....
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html
    Thu Jun 06 17:04:45 UTC 2024
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  11. 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 Jun 06 17:04:45 UTC 2024
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  12. Multiclass Receiver Operating Characteristic (R...

    X_test , y_train , y_test , ) = train_test_split ( X...y_onehot_test = label_binarizer . transform ( y_test ) y_onehot_test...
    scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
    Thu Jun 06 17:04:45 UTC 2024
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  13. Version 1.0 — scikit-learn 1.6.dev0 documentation

    'mean_test_score' 'std_test_score' , and 'split(k)_test_score'...Change utils._testing.assert_warns and utils._testing.assert_warns_message...
    scikit-learn.org/dev/whats_new/v1.0.html
    Thu Jun 06 17:04:46 UTC 2024
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  14. MultiTaskLassoCV — scikit-learn 1.5.0 documenta...

    test) splits as arrays of indices....n_folds) Mean square error for the test set on each fold, varying alpha....
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html
    Wed Jun 05 23:00:24 UTC 2024
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  15. Isotonic Regression — scikit-learn 1.5.0 docume...

    plot ( x_test , ir . predict ( x_test ), "C1-" ) ax1 ....noisy data (n= %d )" % n ) x_test = np . linspace ( - 10 , 110...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html
    Thu Jun 06 17:04:47 UTC 2024
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  16. Target Encoder’s Internal Cross fitting — sciki...

    X_test , y_train , y_test = train_test_split ( X ,...score on test set: " , raw_model . score ( X_test , y_test )) Raw...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder_cross_val.html
    Thu Jun 06 17:04:45 UTC 2024
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  17. Classifier comparison — scikit-learn 1.5.0 docu...

    y_test = train_test_split ( X , y , test_size = 0.4 , random_state...the testing points ax . scatter ( X_test [:, 0 ], X_test [:,...
    scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html
    Thu Jun 06 17:04:45 UTC 2024
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  18. Gradient Boosting regression — scikit-learn 1.5...

    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 Jun 06 17:04:47 UTC 2024
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  19. Precision-Recall — scikit-learn 1.5.0 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 Jun 06 17:04:47 UTC 2024
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  20. Lagged features for time series forecasting — s...

    import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.2 , random_state = 42 )...
    scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html
    Thu Jun 06 17:04:47 UTC 2024
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