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cross_validation.rst.txt
available data as a **test set** ``X_test, y_test``. Note that the...>>> X_train, X_test, y_train, y_test = train_test_split( ... X,...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
related_projects.rst.txt
facilitates best practices for testing and documenting estimators....More focused on statistical tests and less on prediction than...scikit-learn.org/stable/_sources/related_projects.rst.txt -
1.10. Decision Trees — scikit-learn 1.5.0 docum...
validate a model using statistical tests. That makes it possible to account...= 0 ) . fit ( X , y ) >>> X_test = np . array ([ np . nan ])...scikit-learn.org/stable/modules/tree.html -
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ealth/health-news/bird-flu-tests-are-hard-get-will-know-soun...Newsen2024-06-10T18:58:25.349ZBird flu tests are hard to get. How will we...www.nbcnews.com/sitemap/nbcnews/sitemap-news -
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 -
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 -
5. Visualizations — scikit-learn 1.5.0 document...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( svc , X_test , y_test ) The returned svc_disp...scikit-learn.org/stable/visualizations.html -
Elastic network drive connector reference | Ent...
"Folder-shared/org/*/all-tests/test[135]" } ] Excluding files..."pattern": "Folder-shared/**/all-tests/test[!7]" } ] Content extraction...www.elastic.co/guide/en/enterprise-search/current/connectors-network-drive.html -
Putting it all together — scikit-learn 1.5.0 do...
X_test , y_train , y_test = train_test_split ( X , y , test_size...set and a test and keep 25% of the data for testing. X_train ,...scikit-learn.org/stable/tutorial/statistical_inference/putting_together.html -
getting_started.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...scikit-learn.org/stable/_sources/getting_started.rst.txt