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StackingRegressor — scikit-learn 1.7.1 document...
Notes The \(R^2\) score used when calling score on a regressor uses...default value of r2_score . This influences the score method of all...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html -
Classifier comparison — scikit-learn 1.7.1 docu...
y_train ) score = clf . score ( X_test , y_test ) ...y_min + 0.3 , ( " %.2f " % score ) . lstrip ( "0" ), size = 15...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
KernelDensity — scikit-learn 1.7.1 documentation
score_samples ( X [: 3 ]) >>> log_density...n_features) List of samples. score ( X , y = None ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KernelDensity.html -
RANSACRegressor — scikit-learn 1.7.1 documentation
defined by stop_score . Additionally, the score is used to decide...stop_score float, default=np.inf Stop iteration if score is greater...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html -
DummyRegressor — scikit-learn 1.7.1 documentation
score ( X , y ) 0.0 fit ( X , y ,...distribution of query points. score ( X , y , sample_weight = None...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
Job types | Elastic Docs
www.elastic.co/docs/explore-analyze/machine-learning/anomaly-detection/ml-anomaly-detection-job-t... -
sklearn.model_selection — scikit-learn 1.7.1 do...
cross_val_score Evaluate a score by cross-validation....cross-validation and also record fit/score times. learning_curve Learning...scikit-learn.org/stable/api/sklearn.model_selection.html -
Crafting a minimal reproducer for scikit-learn ...
other_score = gbdt . score ( X_test , y_test ) other_score = gbdt...other_score = gbdt . score ( X_test , y_test ) other_score = gbdt...scikit-learn.org/stable/developers/minimal_reproducer.html -
BaggingClassifier — scikit-learn 1.7.1 document...
oob_score_ float Score of the training dataset...bootstrap_features = False , oob_score = False , warm_start = False...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html -
Feature discretization — scikit-learn 1.7.1 doc...
y_train ) score = clf . score ( X_test , y_test ) print...print ( f " { name } : { score : .2f } " ) # plot the decision...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html