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Results 71 - 80 of 552 for tests (0.1 sec)

  1. auto_examples_jupyter.zip

    X_test, y_train, y_test = train_test_split(\n X, y, test_size=0.25,...\"%(n_test)6d test docs (%(n_test_pos)6d positive) \" % test_stats\n...
    scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
    Mon May 20 18:34:23 UTC 2024
      2.1M bytes
      2 views
     
  2. Importance of Feature Scaling — scikit-learn 1....

    X_test , y_train , y_test = train_test_split ( X ,...( X_test ) y_pred_scaled = scaled_clf . predict ( X_test ) y_proba...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html
    Mon May 20 18:34:23 UTC 2024
      59K bytes
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  3. Detection error tradeoff (DET) curve — scikit-l...

    X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( clf , X_test , y_test , ax = ax_roc , name = name...
    scikit-learn.org/stable/auto_examples/model_selection/plot_det.html
    Mon May 20 18:34:24 UTC 2024
      33.6K bytes
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  4. sklearn.covariance.ShrunkCovariance — scikit-le...

    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.ShrunkCovariance.html
    Mon May 20 18:34:24 UTC 2024
      49.2K bytes
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  5. Release Highlights for scikit-learn 0.24 — scik...

    X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( X ,...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html
    Mon May 20 18:34:25 UTC 2024
      92K bytes
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  6. Comparing Nearest Neighbors with and without Ne...

    X_test , y_train , y_test = train_test_split ( X ,...score = clf . score ( X_test , y_test ) _ , ax = plt . subplots...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html
    Mon May 20 18:34:25 UTC 2024
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  7. Effect of varying threshold for self-training —...

    train_index ] X_test = X [ test_index ] y_test = y [ test_index ] y_test_true...y_test_true = y_true [ test_index ] self_training_clf . fit (...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html
    Mon May 20 18:34:23 UTC 2024
      39.2K bytes
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  8. Confusion matrix — scikit-learn 1.4.2 documenta...

    set and a test set X_train , X_test , y_train , y_test = train_test_split...from_estimator ( classifier , X_test , y_test , display_labels = class_names...
    scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html
    Mon May 20 18:34:25 UTC 2024
      26.4K bytes
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  9. 6.3. Preprocessing data — scikit-learn 1.4.2 do...

    X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test ) # apply scaling on testing data, without...
    scikit-learn.org/stable/modules/preprocessing.html
    Mon May 20 18:34:24 UTC 2024
      170.5K bytes
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  10. Curve Fitting with Bayesian Ridge Regression — ...

    increasing = True ) X_test = np . vander ( x_test , n_order + 1 , increasing...predict ( X_test , return_std = True ) ax . plot ( x_test , func (...
    scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html
    Mon May 20 18:34:23 UTC 2024
      35K bytes
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