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Test with permutations the significance of a cl...
This example demonstrates the use of permutation_test_score to evaluate the significance of a cross-validated score using permutations. Dataset: We will use the Iris plants dataset, which consists ...scikit-learn.org/stable/auto_examples/model_selection/plot_permutation_tests_for_classification.html -
Blind source separation using FastICA — scikit-...
An example of estimating sources from noisy data. Independent component analysis (ICA) is used to estimate sources given noisy measurements. Imagine 3 instruments playing simultaneously and 3 micro...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html -
precision_recall_curve — scikit-learn 1.7.0 doc...
Gallery examples: Visualizations with Display Objects Precision-Recallscikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html -
mutual_info_score — scikit-learn 1.7.0 document...
Gallery examples: Adjustment for chance in clustering performance evaluationscikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
median_absolute_error — scikit-learn 1.7.0 docu...
Gallery examples: Effect of transforming the targets in regression model Common pitfalls in the interpretation of coefficients of linear modelsscikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html -
check_random_state — scikit-learn 1.7.0 documen...
Gallery examples: Empirical evaluation of the impact of k-means initialization MNIST classification using multinomial logistic + L1 Manifold Learning methods on a severed sphere Isotonic Regression...scikit-learn.org/stable/modules/generated/sklearn.utils.check_random_state.html -
non_negative_factorization — scikit-learn 1.7.0...
Skip to main content Back to top Ctrl + K GitHub Choose version non_negative_factorization # sklearn.decomposition. n...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
enable_iterative_imputer — scikit-learn 1.7.0 d...
Enables IterativeImputer The API and results of this estimator might change without any deprecation cycle. Importing this file dynamically sets IterativeImputer as an attribute of the impute module:scikit-learn.org/stable/modules/generated/sklearn.experimental.enable_iterative_imputer.html -
fetch_lfw_people — scikit-learn 1.7.0 documenta...
Gallery examples: Faces recognition example using eigenfaces and SVMsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html -
add_dummy_feature — scikit-learn 1.7.0 document...
Skip to main content Back to top Ctrl + K GitHub Choose version add_dummy_feature # sklearn.preprocessing. add_dummy_...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html