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Multi-output Decision Tree Regression — scikit-...
predict ( X_test ) y_2 = regr_2 . predict ( X_test ) y_3 = regr_3.... fit ( X , y ) # Predict X_test = np . arange ( - 100.0 , 100.0...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression_multioutput.html -
sklearn.base.ClassifierMixin — scikit-learn 1.4...
the mean accuracy on the given test data and labels. score ( X ,...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html -
sklearn.datasets.fetch_rcv1 — scikit-learn 1.4....
‘test’ for the test set (781265 samples),...subfolders. subset {‘train’, ‘test’, ‘all’}, default=’all’ Select...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_rcv1.html -
sklearn.datasets.fetch_lfw_pairs — scikit-learn...
‘test’ for the development test set, and ‘10_folds’...Parameters : subset {‘train’, ‘test’, ‘10_folds’}, default=’train’...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_pairs.html -
sklearn.model_selection.RandomizedSearchCV — sc...
param_gamma split0_test_score … rank_test_score ‘rbf’ 0.1 0.80...'split0_test_score' : [ 0.80 , 0.84 , 0.70 ], 'split1_test_score'...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
Kernel PCA — scikit-learn 1.4.2 documentation
X_test , y_train , y_test = train_test_split ( X ,..."Training data" ) test_ax . scatter ( X_test [:, 0 ], X_test [:, 1 ],...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html -
Classification of text documents using sparse f...
predict ( X_test ) test_time = time () - t0 print ( f "test time: {..., ) data_test = fetch_20newsgroups ( subset = "test" , categories...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
10. Common pitfalls and recommended practices —...
X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/common_pitfalls.html -
sklearn.model_selection.PredefinedSplit — sciki...
Provides train/test indices to split data into train/test sets using...The entry test_fold[i] represents the index of the test set that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
Receiver Operating Characteristic (ROC) with cr...
X [ test ], y [ test ], name = f "ROC fold..., 6 )) for fold , ( train , test ) in enumerate ( cv . split...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html