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sklearn.model_selection.ValidationCurveDisplay ...
test_scores = test_scores , score_name =...param_range , train_scores , test_scores , score_name = None )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
sklearn.naive_bayes.ComplementNB — 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.ComplementNB.html -
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 -
Putting it all together — scikit-learn 1.4.2 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 -
plot_multi_metric_evaluation.py
1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...etc...) The ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
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 -
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 -
sklearn.multiclass.OutputCodeClassifier — sciki...
the mean accuracy on the given test data and labels. set_params...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html -
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.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