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Recursive feature elimination — scikit-learn 1....
This example demonstrates how Recursive Feature Elimination ( RFE) can be used to determine the importance of individual pixels for classifying handwritten digits. RFE recursively removes the least...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html -
Gradient Boosting regression — scikit-learn 1.6...
This example demonstrates Gradient Boosting to produce a predictive model from an ensemble of weak predictive models. Gradient boosting can be used for regression and classification problems. Here,...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
Polynomial and Spline interpolation — scikit-le...
This example demonstrates how to approximate a function with polynomials up to degree degree by using ridge regression. We show two different ways given n_samples of 1d points x_i: PolynomialFeatur...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
Generalized Linear Models — scikit-learn 1.6.1 ...
Examples concerning the sklearn.linear_model module. Comparing Linear Bayesian Regressors Comparing various online solvers Curve Fitting with Bayesian Ridge Regression Decision Boundaries of Multin...scikit-learn.org/stable/auto_examples/linear_model/index.html -
safe_mask — scikit-learn 1.6.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version safe_mask # sklearn.utils. safe_mask ( X , mask ) [so...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html -
all_estimators — scikit-learn 1.6.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version all_estimators # sklearn.utils.discovery. all_estimat...scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_estimators.html -
sklearn.pipeline — scikit-learn 1.6.1 documenta...
Utilities to build a composite estimator as a chain of transforms and estimators. User guide. See the Pipelines and composite estimators section for further details.scikit-learn.org/stable/api/sklearn.pipeline.html -
label_binarize — scikit-learn 1.6.1 documentation
scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html -
check_cv — scikit-learn 1.6.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version check_cv # sklearn.model_selection. check_cv ( cv = 5...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html -
r2_score — scikit-learn 1.6.1 documentation
Gallery examples: L1-based models for Sparse Signals Non-negative least squares Ordinary Least Squares Example Failure of Machine Learning to infer causal effects Effect of transforming the targets...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html