Search Options

Results per page
Sort
Preferred Languages
Labels
Advance

Results 81 - 90 of 791 for test (0.08 sec)

  1. TunedThresholdClassifierCV — scikit-learn 1.5.0...

    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 Jun 07 19:49:38 UTC 2024
      154.3K bytes
      Cache
     
  2. 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
    Fri Jun 07 19:49:37 UTC 2024
      140.8K bytes
      Cache
     
  3. 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
    Fri Jun 07 19:49:37 UTC 2024
      108K bytes
      Cache
     
  4. 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
    Fri Jun 07 19:49:37 UTC 2024
      136.9K bytes
      Cache
     
  5. Release Highlights for scikit-learn 1.5 — sciki...

    X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( classifier_05 , X_test , y_test ) Lowering the threshold,...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html
    Fri Jun 07 19:49:38 UTC 2024
      121.7K bytes
      Cache
     
  6. 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 Jun 07 19:49:37 UTC 2024
      123.9K bytes
      Cache
     
  7. OAS — scikit-learn 1.5.0 documentation

    : X_test array-like of shape (n_samples, n_features) Test data...the observations. score ( X_test , y = None ) [source] # Compute...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html
    Fri Jun 07 19:49:38 UTC 2024
      143.3K bytes
      Cache
     
  8. 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
    Fri Jun 07 19:49:37 UTC 2024
      138.8K bytes
      Cache
     
  9. 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
    Fri Jun 07 19:49:38 UTC 2024
      159.6K bytes
      Cache
     
  10. 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 Jun 07 19:49:37 UTC 2024
      122.1K bytes
      Cache
     
Back to top