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Results 311 - 320 of 1,752 for test (0.1 sec)

  1. Confusion matrix — scikit-learn 1.6.0 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
    Fri Dec 20 11:14:14 UTC 2024
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  2. TimeSeriesSplit — scikit-learn 1.6.0 documentation

    in train/test sets. In each split, test indices must be...n_splits=5, test_size=None) >>> for i , ( train_index , test_index...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html
    Fri Dec 20 11:14:16 UTC 2024
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  3. Comparing Target Encoder with Other Encoders — ...

    "rmse_test_mean" : rmse_test_score . mean (), "rmse_test_std"...= True , ) rmse_test_score = - result [ "test_score" ] rmse_train_score...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html
    Fri Dec 20 11:14:14 UTC 2024
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  4. ShuffleSplit — scikit-learn 1.6.0 documentation

    print ( f " Test: index= { test_index } " ) Fold 0: Train:...4] Test: index=[5 2] Fold 1: Train: index=[4 0 2 5] Test: index=[1...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html
    Fri Dec 20 11:14:14 UTC 2024
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  5. LeavePGroupsOut — scikit-learn 1.6.0 documentation

    f " Test: index= { test_index } , group= { groups [ test_index...indices for that split. test ndarray The testing set indices for that...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html
    Fri Dec 20 11:14:14 UTC 2024
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  6. plot_multi_metric_evaluation.py

    1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...etc...) The ``best_estimator_``, ``best_index_``, ``best_score_``...
    scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py
    Fri Dec 20 11:14:14 UTC 2024
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  7. glossary.rst.txt

    common tests This refers to the tests run on almost every...``(train_idx, test_idx)`` pairs. Each of {train,test}_idx is a 1d...
    scikit-learn.org/stable/_sources/glossary.rst.txt
    Fri Dec 20 11:14:16 UTC 2024
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  8. Underfitting vs. Overfitting — scikit-learn 1.6...

    plot ( X_test , pipeline . predict ( X_test [:, np . newaxis..."Model" ) plt . plot ( X_test , true_fun ( X_test ), label = "True function"...
    scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html
    Fri Dec 20 11:14:18 UTC 2024
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  9. Precision-Recall — scikit-learn 1.6.0 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 Dec 20 11:14:18 UTC 2024
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  10. CalibrationDisplay — scikit-learn 1.7.dev0 docu...

    X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......
    scikit-learn.org/dev/modules/generated/sklearn.calibration.CalibrationDisplay.html
    Mon Dec 09 18:03:45 UTC 2024
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