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plot_multi_metric_evaluation.ipynb
1)[0][0]\n best_score = results[\"mean_test_%s\" % scorer][best_index]\n\n...etc...)\n\nThe ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation.... -
sklearn.datasets.fetch_20newsgroups — scikit-le...
‘test’ for the test set, ‘all’ for both,...on a Text Dataset Semi-supervised Classification on a Text Dataset...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html -
sklearn.dummy.DummyClassifier — scikit-learn 1....
n_features) Test samples. Passing None as test samples gives...(X) Perform classification on test vectors X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
sklearn.linear_model.LassoCV — scikit-learn 1.4...
test) splits as arrays of indices....n_folds) Mean square error for the test set on each fold, varying alpha....scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
preprocessing.rst.txt
K_{test} - 1'_{\text{n}_{samples}} K - K_{test} 1_{\text{n}_{samples}}...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
sklearn.model_selection.StratifiedGroupKFold — ...
print ( f " Test: index= { test_index } " ) ... print...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
auto_examples_python.zip
tick test_stats["n_test"] += len(y_test) test_stats["n_test_pos"]...X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.25,...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
sklearn.model_selection.TimeSeriesSplit — sciki...
in train/test sets. In each split, test indices must be...n_splits=5, test_size=None) >>> for i , ( train_index , test_index...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
3.1. Cross-validation: evaluating estimator per...
available data as a test set X_test, y_test . Note that the word...X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/cross_validation.html -
sklearn.model_selection.ShuffleSplit — scikit-l...
print ( f " Test: index= { test_index } " ) Fold 0: Train:...4] Test: index=[5 2] Fold 1: Train: index=[4 0 2 5] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html