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  1. Feature Selection — scikit-learn 1.7.0 document...

    Examples concerning the sklearn.feature_selection module. Comparison of F-test and mutual information Model-based and sequential feature selection Pipeline ANOVA SVM Recursive feature elimination R...
    scikit-learn.org/stable/auto_examples/feature_selection/index.html
    Fri Jun 06 09:13:47 UTC 2025
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  2. Decision Trees — scikit-learn 1.7.0 documentation

    Examples concerning the sklearn.tree module. Decision Tree Regression Plot the decision surface of decision trees trained on the iris dataset Post pruning decision trees with cost complexity prunin...
    scikit-learn.org/stable/auto_examples/tree/index.html
    Fri Jun 06 09:13:47 UTC 2025
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  3. is_classifier — scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version is_classifier # sklearn.base. is_classifier ( estimat...
    scikit-learn.org/stable/modules/generated/sklearn.base.is_classifier.html
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  4. Ensemble methods — scikit-learn 1.7.0 documenta...

    Examples concerning the sklearn.ensemble module. Categorical Feature Support in Gradient Boosting Combine predictors using stacking Comparing Random Forests and Histogram Gradient Boosting models C...
    scikit-learn.org/stable/auto_examples/ensemble/index.html
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  5. Dataset examples — scikit-learn 1.7.0 documenta...

    Examples concerning the sklearn.datasets module. Plot randomly generated multilabel dataset
    scikit-learn.org/stable/auto_examples/datasets/index.html
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  6. Robust linear estimator fitting — scikit-learn ...

    time of the script: (0 minutes 1.766 seconds) Download Jupyter...
    scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html
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  7. v_measure_score — scikit-learn 1.7.0 documentation

    1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> v_measure_score...v_measure_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html
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  8. Curve Fitting with Bayesian Ridge Regression — ...

    values (alpha_init = 1.90, lambda_init = 1.), the bias of the resulting...scale = 0.1 , size = size ) x_test = np . linspace ( 0.0 , 1.0 , 100...
    scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html
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  9. dict_learning_online — scikit-learn 1.7.0 docum...

    * || U || _1 , 1 ( U , V ) with || V_k || _2 = 1 for all 0 <=...the Frobenius norm and ||.||_1,1 stands for the entry-wise matrix...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html
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  10. Principal Component Regression vs Partial Least...

    axes [ 1 ] . scatter ( X . dot ( pca . components_ [ 1 ]), y ,.... scatter ( X [:, 0 ], X [:, 1 ], alpha = 0.3 , label = "samples"...
    scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html
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