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Results 151 - 160 of 845 for tests (0.1 sec)

  1. Class Likelihood Ratios to measure classificati...

    import train_test_split X_train , X_test , y_train , y_test = train_test_split...classification performance Pre-test vs. post-test analysis Cross-validation...
    scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html
    Thu May 16 17:15:46 UTC 2024
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  2. Precision-Recall — scikit-learn 1.4.2 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 May 16 17:15:46 UTC 2024
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  3. DBFluteのEclipseコード補完 | LastaFlute

    UTFluteのテストメソッドを補完 (_test) _test (TEST) e.g. UTFluteのテストメソッドを補完 @Java _test .......addOrderBy_${columnName} _test UTFlute, testメソッド補完、Arrange,Act,Assert付き...
    dbflute.seasar.org/ja/tutorial/eclipse/dfclipse...
    Mon Mar 18 15:47:33 UTC 2024
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  4. sklearn.metrics.PrecisionRecallDisplay — scikit...

    X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( ......
    scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html
    Thu May 16 17:15:46 UTC 2024
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  5. plot_classifier_comparison.rst.txt

    and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...
    scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt
    Tue May 14 20:49:02 UTC 2024
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  6. 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 May 16 17:15:45 UTC 2024
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  7. sklearn.model_selection.KFold — scikit-learn 1....

    Provides train/test indices to split data in train/test sets. Split..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html
    Thu May 16 17:15:46 UTC 2024
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  8. sklearn.model_selection.StratifiedShuffleSplit ...

    Provides train/test indices to split data in train/test sets. This..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html
    Thu May 16 17:15:47 UTC 2024
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  9. Underfitting vs. Overfitting — scikit-learn 1.4...

    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
    Thu May 16 17:15:46 UTC 2024
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  10. 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
    Thu May 16 17:15:45 UTC 2024
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