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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 -
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 -
Model Selection — scikit-learn 1.5.0 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 -
contributing.rst.txt
sklearn/linear_model/tests/test_logistic.py` to run the tests specific to...center .. _testing_coverage: Testing and improving test coverage...scikit-learn.org/dev/_sources/developers/contributing.rst.txt -
Putting it all together — scikit-learn 1.5.0 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 -
Feature Selection — scikit-learn 1.5.0 document...
Comparison of F-test and mutual information Comparison of F-test and mutual...scikit-learn.org/stable/auto_examples/feature_selection/index.html -
plot_hgbt_regression.py
import train_test_split X_train, X_test, y_train, y_test = train_test_split(X,...train_test_split(X, y, test_size=0.4, shuffle=False) print(f"Training...scikit-learn.org/stable/_downloads/d108f2283ac3905eb623b32d42217a2b/plot_hgbt_regression.py -
feature_selection.rst.txt
the best features based on univariate statistical tests. It can...we can use a F-test to retrieve the two best features for a dataset...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt