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  1. User Guide — scikit-learn 1.6.1 documentation

    Supervised learning- Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, Or...
    scikit-learn.org/stable/user_guide.html
    Sat Apr 19 00:31:22 UTC 2025
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  2. Dataset examples — scikit-learn 1.6.1 documenta...

    Examples concerning the sklearn.datasets module. Plot randomly generated multilabel dataset
    scikit-learn.org/stable/auto_examples/datasets/index.html
    Sat Apr 19 00:31:21 UTC 2025
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  3. Confusion matrix — scikit-learn 1.6.1 documenta...

    Example of confusion matrix usage to evaluate the quality of the output of a classifier on the iris data set. The diagonal elements represent the number of points for which the predicted label is e...
    scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. Ensemble methods — scikit-learn 1.6.1 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
    Sat Apr 19 00:31:20 UTC 2025
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  5. Feature Selection — scikit-learn 1.6.1 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
    Sat Apr 19 00:31:22 UTC 2025
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  6. Decision Trees — scikit-learn 1.6.1 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
    Sat Apr 19 00:31:21 UTC 2025
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  7. Multiclass methods — scikit-learn 1.6.1 documen...

    Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimators
    scikit-learn.org/stable/auto_examples/multiclass/index.html
    Sat Apr 19 00:31:22 UTC 2025
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  8. Multioutput methods — scikit-learn 1.6.1 docume...

    Examples concerning the sklearn.multioutput module. Multilabel classification using a classifier chain
    scikit-learn.org/stable/auto_examples/multioutput/index.html
    Sat Apr 19 00:31:22 UTC 2025
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  9. is_classifier — scikit-learn 1.6.1 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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  10. kneighbors_graph — scikit-learn 1.6.1 documenta...

    See the documentation of scipy.spatial.distance...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighbors_graph.html
    Sat Apr 19 00:31:21 UTC 2025
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