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Elasticsearch Platform — Find real-time answers...
Company Drive results with AI Test drive free Trusted by 50% of...www.elastic.co/ -
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 -
sklearn.covariance.EllipticEnvelope — scikit-le...
the mean accuracy on the given test data and labels. score_samples...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
sklearn.naive_bayes.BernoulliNB — scikit-learn ...
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.BernoulliNB.html -
Real User Monitoring (RUM) with Elastic Observa...
and test your user journeys all within...Learn more Synthetic monitoring Test user journeys to deliver a great...www.elastic.co/observability/real-user-monitoring -
model_evaluation.rst.txt
ratio (pre-test and post-tests): .. math:: \text{post-test odds} =...\frac{\text{pre-test probability}}{1 - \text{pre-test probability}},...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
sklearn.naive_bayes.GaussianNB — scikit-learn 1...
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.GaussianNB.html -
sklearn.semi_supervised.LabelSpreading — scikit...
on a Text Dataset Semi-supervised Classification on a Text Dataset...the mean accuracy on the given test data and labels. set_params...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
Supervised learning: predicting an output varia...
iris_X_test = iris_X [ indices [ - 10 :]] >>> iris_y_test = iris_y...predict ( diabetes_X_test ) - diabetes_y_test ) ** 2 ) 2004.5......scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html -
sklearn.ensemble.GradientBoostingClassifier — s...
X_test = X [: 2000 ], X [ 2000 :] >>> y_train , y_test = y...y_train ) >>> clf . score ( X_test , y_test ) 0.913... Methods apply...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html