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  1. 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
    Fri May 31 14:06:06 UTC 2024
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  2. Post-hoc tuning the cut-off point of decision f...

    value_counts () class tested_negative 500 tested_positive 268 Name:..."train_accuracy" , "test_accuracy" , "train_balanced_accuracy" , "test_balanced_accuracy"...
    scikit-learn.org/stable/auto_examples/model_selection/plot_tuned_decision_threshold.html
    Fri May 31 14:06:06 UTC 2024
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  3. 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
    Fri May 31 14:06:06 UTC 2024
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  4. 6.3. Preprocessing data — scikit-learn 1.5.0 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
    Fri May 31 14:06:07 UTC 2024
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  5. FixedThresholdClassifier — scikit-learn 1.5.0 d...

    X_test , y_train , y_test = train_test_split ( ......confusion_matrix ( y_test , classifier . predict ( X_test ))) [[217 7]...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html
    Fri May 31 14:06:06 UTC 2024
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  6. ShrunkCovariance — scikit-learn 1.5.0 documenta...

    : 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.ShrunkCovariance.html
    Fri May 31 14:06:04 UTC 2024
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  7. Robust linear estimator fitting — scikit-learn ...

    sin ( X_test ) X_test = X_test [:, np . newaxis ] y_errors...newaxis ] X_test = np . random . normal ( size = 200 ) y_test = np ....
    scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html
    Fri May 31 14:06:06 UTC 2024
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  8. Gaussian processes on discrete data structures ...

    ) X_test = [ "AAA" , "ATAG" , "CTC" , "CT" , "C" ] Y_test = [...len ( X_test )), [ 1.0 if c else - 1.0 for c in Y_test ], s =...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html
    Fri May 31 14:06:06 UTC 2024
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  9. Gradient Boosting Out-of-Bag estimates — scikit...

    X_test , y_train , y_test = train_test_split ( X ,...for test data test_score = heldout_score ( clf , X_test , y_test...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html
    Fri May 31 14:06:06 UTC 2024
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  10. TimeSeriesSplit — scikit-learn 1.5.0 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 May 31 14:06:07 UTC 2024
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