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  1. A demo of the Spectral Co-Clustering algorithm ...

    Biclustering algorithm Biclustering documents with the Spectral Co-clustering...Co-clustering algorithm Biclustering documents with the Spectral Co-clustering...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html
    2025-11-15 10:03
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  2. Model Selection — scikit-learn 1.7.2 docu...

    Examples related to the sklearn.model_selection module. Balance model complexity and cross-validated score Class Likelihood Ratios to measure classification performance Comparing randomized search ...
    scikit-learn.org/stable/auto_examples/model_selection/index.html
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  3. 1.17. Neural network models (supervised) &#8212...

    details can be found in the documentation of SGD Adam is similar to...
    scikit-learn.org/stable/modules/neural_networks_supervised.html
    2025-11-15 10:03
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  4. User Guide — scikit-learn 1.7.2 documenta...

    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
    2025-11-15 10:03
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  5. Decision Trees — scikit-learn 1.7.2 docum...

    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
    2025-11-15 10:03
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  6. Multiclass methods — scikit-learn 1.7.2 d...

    Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimators
    scikit-learn.org/stable/auto_examples/multiclass/index.html
    2025-11-15 10:03
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  7. Dataset examples — scikit-learn 1.7.2 doc...

    Examples concerning the sklearn.datasets module. Plot randomly generated multilabel dataset
    scikit-learn.org/stable/auto_examples/datasets/index.html
    2025-11-15 10:03
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  8. Confusion matrix — scikit-learn 1.7.2 doc...

    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
    2025-11-15 10:03
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  9. Feature Selection — scikit-learn 1.7.2 do...

    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
    2025-11-15 10:03
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  10. SGD: Penalties — scikit-learn 1.7.2 docum...

    Contours of where the penalty is equal to 1 for the three penalties L1, L2 and elastic-net. All of the above are supported by SGDClassifier and SGDRegressor. Total running time of the script:(0 min...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_penalties.html
    2025-11-15 10:03
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