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rand_score — scikit-learn 1.5.2 documentation
Gallery examples: Adjustment for chance in clustering performance evaluationscikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
matthews_corrcoef — scikit-learn 1.5.2 document...
Skip to main content Back to top Ctrl + K GitHub matthews_corrcoef # sklearn.metrics. matthews_corrcoef ( y_true , y_...scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html -
Importance of Feature Scaling — scikit-learn 1....
Feature scaling through standardization, also called Z-score normalization, is an important preprocessing step for many machine learning algorithms. It involves rescaling each feature such that it ...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
coverage_error — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub coverage_error # sklearn.metrics. coverage_error ( y_true , y_score ...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html -
dcg_score — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub dcg_score # sklearn.metrics. dcg_score ( y_true , y_score , * , k = ...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
sklearn.inspection — scikit-learn 1.5.2 documen...
Tools for model inspection. User guide. See the Inspection section for further details. Plotting:scikit-learn.org/stable/api/sklearn.inspection.html -
make_moons — scikit-learn 1.5.2 documentation
Gallery examples: Classifier comparison Comparing different clustering algorithms on toy datasets Comparing different hierarchical linkage methods on toy datasets Comparing anomaly detection algori...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
make_circles — scikit-learn 1.5.2 documentation
Gallery examples: Classifier comparison Comparing different clustering algorithms on toy datasets Comparing different hierarchical linkage methods on toy datasets Kernel PCA Hashing feature transfo...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
set_config — scikit-learn 1.5.2 documentation
Gallery examples: Release Highlights for scikit-learn 1.4 Release Highlights for scikit-learn 0.23 Displaying Pipelines Introducing the set_output API Metadata Routing Post-tuning the decision thre...scikit-learn.org/stable/modules/generated/sklearn.set_config.html -
sklearn.manifold — scikit-learn 1.5.2 documenta...
Data embedding techniques. User guide. See the Manifold learning section for further details.scikit-learn.org/stable/api/sklearn.manifold.html