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MinCovDet — scikit-learn 1.6.1 documentation
Gallery examples: Robust covariance estimation and Mahalanobis distances relevance Robust vs Empirical covariance estimatescikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html -
EmpiricalCovariance — scikit-learn 1.6.1 docume...
Gallery examples: Robust covariance estimation and Mahalanobis distances relevance Robust vs Empirical covariance estimate Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihoodscikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html -
HuberRegressor — scikit-learn 1.6.1 documentation
Gallery examples: HuberRegressor vs Ridge on dataset with strong outliers Ridge coefficients as a function of the L2 Regularization Robust linear estimator fittingscikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
BaggingClassifier — scikit-learn 1.6.1 document...
Skip to main content Back to top Ctrl + K GitHub Choose version BaggingClassifier # class sklearn.ensemble. BaggingCl...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html -
CompoundKernel — scikit-learn 1.6.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version CompoundKernel # class sklearn.gaussian_process.kerne...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.CompoundKernel.html -
RepeatedKFold — scikit-learn 1.6.1 documentation
Gallery examples: Common pitfalls in the interpretation of coefficients of linear modelsscikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
StratifiedKFold — scikit-learn 1.6.1 documentation
Gallery examples: Recursive feature elimination with cross-validation GMM covariances Receiver Operating Characteristic (ROC) with cross validation Test with permutations the significance of a clas...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
MLPClassifier — scikit-learn 1.6.1 documentation
Gallery examples: Classifier comparison Compare Stochastic learning strategies for MLPClassifier Varying regularization in Multi-layer Perceptron Visualization of MLP weights on MNISTscikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
ExtraTreeClassifier — scikit-learn 1.6.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version ExtraTreeClassifier # class sklearn.tree. ExtraTreeCl...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html -
SVR — scikit-learn 1.6.1 documentation
Gallery examples: Prediction Latency Comparison of kernel ridge regression and SVR Support Vector Regression (SVR) using linear and non-linear kernelsscikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html