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model_evaluation.rst.txt
ratio (pre-test and post-tests): .. math:: \text{post-test odds} =...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
Elastic (ELK) Stack features list | Elastic
you can also test out Platinum features such as..."message" : { "query" : "this is a test", "operator" : "and" } } } }...www.elastic.co/elastic-stack/features -
3.3. 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 -
Best Headphones of 2023
digg.com/technology/audio/best-headphones -
auto_examples_jupyter.zip
X_test, y_train, y_test = train_test_split(\n X, y, test_size=0.25,...\"%(n_test)6d test docs (%(n_test_pos)6d positive) \" % test_stats\n...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
Out-of-core classification of text documents — ...
- tick test_stats [ "n_test" ] += len ( y_test ) test_stats [...%(n_test)6d test docs ( %(n_test_pos)6d positive) " % test_stats...scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html -
Tweedie regression on insurance claims — scikit...
( "test" , X_test , df_test ), ]: y , _weights...train_test_split df_train , df_test , X_train , X_test = train_test_split...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
Gradient Boosting regression — scikit-learn 1.4...
X_test , y_train , y_test = train_test_split ( X ,...mean_squared_error ( y_test , reg . predict ( X_test )) print ( "The...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
Monitoramento sintético com o Elastic Observabi...
os scripts de teste com seu código para testes contínuos em produção....atualizações de teste, reutilizar scripts de teste para reduzir...www.elastic.co/pt/observability/synthetic-monitoring -
plot_classifier_comparison.py
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/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py