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  1. Two-class AdaBoost — scikit-learn 1.6.1 documen...

    This example fits an AdaBoosted decision stump on a non-linearly separable classification dataset composed of two “Gaussian quantiles” clusters (see sklearn.datasets.make_gaussian_quantiles) and pl...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html
    Sat Apr 19 00:31:22 UTC 2025
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  2. SVM Tie Breaking Example — scikit-learn 1.6.1 d...

    Tie breaking is costly if decision_function_shape='ovr', and therefore it is not enabled by default. This example illustrates the effect of the break_ties parameter for a multiclass classification ...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html
    Sat Apr 19 00:31:22 UTC 2025
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  3. Early stopping in Gradient Boosting — scikit-le...

    Gradient Boosting is an ensemble technique that combines multiple weak learners, typically decision trees, to create a robust and powerful predictive model. It does so in an iterative fashion, wher...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. A demo of the Spectral Biclustering algorithm —...

    This example demonstrates how to generate a checkerboard dataset and bicluster it using the SpectralBiclustering algorithm. The spectral biclustering algorithm is specifically designed to cluster d...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html
    Sat Apr 19 00:31:21 UTC 2025
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  5. Plot the decision boundaries of a VotingClassif...

    Plot the decision boundaries of a VotingClassifier for two features of the Iris dataset. Plot the class probabilities of the first sample in a toy dataset predicted by three different classifiers a...
    scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html
    Sat Apr 19 00:31:22 UTC 2025
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  6. Agglomerative clustering with different metrics...

    Demonstrates the effect of different metrics on the hierarchical clustering. The example is engineered to show the effect of the choice of different metrics. It is applied to waveforms, which can b...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html
    Sat Apr 19 00:31:22 UTC 2025
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  7. Plot individual and voting regression predictio...

    Documentation for VotingRegressor i Fitted...GradientBoostingRegr ? Documentation for GradientBoostingRegr...
    scikit-learn.org/stable/auto_examples/ensemble/plot_voting_regressor.html
    Sat Apr 19 00:31:22 UTC 2025
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  8. Visualization of MLP weights on MNIST — scikit-...

    that is used to build this documentation on a regular basis. Iteration...
    scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html
    Sat Apr 19 00:31:22 UTC 2025
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  9. Version 0.13 — scikit-learn 1.6.1 documentation

    improvements to tests and documentation. People # List of contributors...shingVectorizer for text documents by Olivier Grisel See Feature...
    scikit-learn.org/stable/whats_new/v0.13.html
    Sat Apr 19 00:31:22 UTC 2025
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  10. Version 0.16 — scikit-learn 1.6.1 documentation

    Documentation improvements # Added example...heterogeneous input. By Matt Terry Documentation on scorers was improved,...
    scikit-learn.org/stable/whats_new/v0.16.html
    Sat Apr 19 00:31:20 UTC 2025
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