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  1. Compare BIRCH and MiniBatchKMeans — scikit-lear...

    This example compares the timing of BIRCH (with and without the global clustering step) and MiniBatchKMeans on a synthetic dataset having 25,000 samples and 2 features generated using make_blobs. B...
    scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html
    Thu Jul 03 11:42:06 UTC 2025
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  2. jaccard_score — scikit-learn 1.7.0 documentation

    Gallery examples: Multilabel classification using a classifier chain
    scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html
    Thu Jul 03 11:42:05 UTC 2025
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  3. hinge_loss — scikit-learn 1.7.0 documentation

    Gallery examples: Plot classification boundaries with different SVM Kernels
    scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html
    Thu Jul 03 11:42:06 UTC 2025
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  4. check_scoring — scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version check_scoring # sklearn.metrics. check_scoring ( esti...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.check_scoring.html
    Thu Jul 03 11:42:06 UTC 2025
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  5. sklearn.multiclass — scikit-learn 1.7.0 documen...

    Multiclass learning algorithms. one-vs-the-rest / one-vs-all, one-vs-one, error correcting output codes. The estimators provided in this module are meta-estimators: they require a base estimator to...
    scikit-learn.org/stable/api/sklearn.multiclass.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. sklearn.neighbors — scikit-learn 1.7.0 document...

    The k-nearest neighbors algorithms. User guide. See the Nearest Neighbors section for further details.
    scikit-learn.org/stable/api/sklearn.neighbors.html
    Thu Jul 03 11:42:05 UTC 2025
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  7. sklearn.svm — scikit-learn 1.7.0 documentation

    Support vector machine algorithms. User guide. See the Support Vector Machines section for further details.
    scikit-learn.org/stable/api/sklearn.svm.html
    Thu Jul 03 11:42:05 UTC 2025
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  8. sklearn.mixture — scikit-learn 1.7.0 documentation

    Mixture modeling algorithms. User guide. See the Gaussian mixture models section for further details.
    scikit-learn.org/stable/api/sklearn.mixture.html
    Thu Jul 03 11:42:06 UTC 2025
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  9. sklearn.frozen — scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version sklearn.frozen # FrozenEstimator Estimator that wraps...
    scikit-learn.org/stable/api/sklearn.frozen.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. make_classification — scikit-learn 1.7.0 docume...

    Gallery examples: Probability Calibration curves Comparison of Calibration of Classifiers Classifier comparison OOB Errors for Random Forests Feature transformations with ensembles of trees Feature...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html
    Thu Jul 03 11:42:05 UTC 2025
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