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sklearn.model_selection.StratifiedShuffleSplit ...
Provides train/test indices to split data in train/test sets. This..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
sklearn.model_selection.GroupShuffleSplit — sci...
f " Test: index= { test_index } , group= { groups [ test_index...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
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 -
sklearn.model_selection.RepeatedStratifiedKFold...
print ( f " Test: index= { test_index } " ) ... Fold...index=[1 2] Test: index=[0 3] Fold 1: Train: index=[0 3] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.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 -
sklearn.metrics.class_likelihood_ratios — sciki...
obtain post-test probabilities given a pre-test probability....classifier being a diagnostic test; the pre-test probability of an individual...scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.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 -
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 -
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.GroupKFold — scikit-lea...
f " Test: index= { test_index } , group= { groups [ test_index...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html