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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 -
7.1. Pipelines and composite estimators — sciki...
X_test , y_train , y_test = train_test_split ( X ,...format ( regr . score ( X_test , y_test ))) R2 score: 0.61 >>> raw_target_regr...scikit-learn.org/stable/modules/compose.html -
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 -
3.4. Metrics and scoring: quantifying the quali...
ratio (pre-test and post-tests): \[\text{post-test odds} = \text{Likelihood...X_train , X_test , y_train , y_test = train_test_split ( X ,...scikit-learn.org/stable/modules/model_evaluation.html -
Nearest Neighbors Classification — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...split the data into a train and test dataset. from sklearn.datasets...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html -
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 -
Comparison of kernel ridge regression and SVR —...
train_time = [] test_time = [] for train_test_size in sizes :...fit ( X [: train_test_size ], y [: train_test_size ]) train_time...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
Precision-Recall — scikit-learn 1.7.0 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 -
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 -
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