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Comparison of F-test and mutual information — s...
univariate F-tests statistics and mutual information. As F-test captures...( 1000 ) f_test , _ = f_regression ( X , y ) f_test /= np . max...scikit-learn.org/stable/auto_examples/feature_selection/plot_f_test_vs_mi.html -
Model selection: choosing estimators and their ...
X_digits [ test ], y_digits [ test ]) ... for train , test in k_fold..., y_train ) . score ( X_test , y_test )) >>> print ( scores )...scikit-learn.org/stable/tutorial/statistical_inference/model_selection.html -
Model Selection — scikit-learn 1.4.2 documentation
(ROC) Nested versus non-nested cross-validation Nested versus...Train error vs Test error Train error vs Test error Underfitting...scikit-learn.org/stable/auto_examples/model_selection/index.html -
sklearn.neighbors.NearestCentroid — scikit-lear...
with test samples classified to the class...classification on an array of test vectors X . score (X, y[, sample_weight])...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
sklearn.naive_bayes.MultinomialNB — scikit-lear...
classification of text documents Out-of-core classification of text documents...classification on an array of test vectors X. predict_joint_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
cross_validation.rst.txt
available data as a **test set** ``X_test, y_test``. Note that the...>>> X_train, X_test, y_train, y_test = train_test_split( ... X,...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
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.model_selection.KFold — scikit-learn 1....
estimates Nested versus non-nested cross-validation Nested versus...Provides train/test indices to split data in train/test sets. Split...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.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 -
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