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  1. sklearn.covariance.OAS — scikit-learn 1.4.2 doc...

    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.OAS.html
    Tue May 14 20:49:03 UTC 2024
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  2. Comparing various online solvers — scikit-learn...

    X_test , y_train , y_test = train_test_split ( X ,...( X_test ) yy_ . append ( 1 - np . mean ( y_pred == y_test ))...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html
    Tue May 14 20:49:02 UTC 2024
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  3. 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
    Tue May 14 20:49:02 UTC 2024
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  4. Gradient Boosting regularization — scikit-learn...

    X_test , y_train , y_test = train_test_split ( X ,...( X_test )): test_deviance [ i ] = 2 * log_loss ( y_test , y_proba...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html
    Tue May 14 20:49:02 UTC 2024
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  5. preprocessing.rst.txt

    X_test, y_train, y_test = train_test_split(X, y, random_state=42)...pipe.score(X_test, y_test) # apply scaling on testing data, without...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Sat May 11 22:20:02 UTC 2024
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  6. Release Highlights for scikit-learn 0.23 — scik...

    X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test )) print ( gbdt . score ( X_test , y_test...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html
    Tue May 14 20:49:02 UTC 2024
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  7. MNIST classification using multinomial logistic...

    X_test , y_train , y_test = train_test_split ( X ,...( X_train ) X_test = scaler . transform ( X_test ) # Turn up tolerance...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html
    Tue May 14 20:49:03 UTC 2024
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  8. Feature transformations with ensembles of trees...

    X_test , y_full_train , y_test = train_test_split ( X...train_test_split ( X_full_train , y_full_train , test_size =...
    scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html
    Tue May 14 20:49:02 UTC 2024
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  9. Cross-validation on diabetes Dataset Exercise —...

    score ( X [ test ], y [ test ]) ) ) print () print...Train error vs Test error Train error vs Test error Lasso model...
    scikit-learn.org/stable/auto_examples/exercises/plot_cv_diabetes.html
    Tue May 14 20:49:03 UTC 2024
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  10. sklearn.naive_bayes.MultinomialNB — scikit-lear...

    classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html
    Tue May 14 20:49:02 UTC 2024
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