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  1. Prediction Latency — scikit-learn 1.7.0 documen...

    text documents Out-of-core classification of text documents Normal,...
    scikit-learn.org/stable/auto_examples/applications/plot_prediction_latency.html
    Thu Jul 03 11:42:05 UTC 2025
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  2. KernelRidge — scikit-learn 1.7.0 documentation

    to the kernel; see the documentation for sklearn.metrics.pairwise....
    scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html
    Thu Jul 03 11:42:06 UTC 2025
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  3. Adjustment for chance in clustering performance...

    text documents using k-means Clustering text documents using...
    scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html
    Thu Jul 03 11:42:05 UTC 2025
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  4. LatentDirichletAllocation — scikit-learn 1.7.0 ...

    default=None Prior of document topic distribution theta ....int, default=128 Number of documents to use in each EM iteration....
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html
    Thu Jul 03 11:42:06 UTC 2025
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  5. Wikipedia principal eigenvector — scikit-learn ...

    text documents using k-means Clustering text documents using...
    scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. User Guide — scikit-learn 1.7.0 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
    Thu Jul 03 11:42:05 UTC 2025
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  7. 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
    Thu Jul 03 11:42:06 UTC 2025
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  8. Multiclass methods — scikit-learn 1.7.0 documen...

    Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimators
    scikit-learn.org/stable/auto_examples/multiclass/index.html
    Thu Jul 03 11:42:06 UTC 2025
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  9. Confusion matrix — scikit-learn 1.7.0 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
    Thu Jul 03 11:42:05 UTC 2025
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  10. Multioutput methods — scikit-learn 1.7.0 docume...

    Examples concerning the sklearn.multioutput module. Multilabel classification using a classifier chain
    scikit-learn.org/stable/auto_examples/multioutput/index.html
    Thu Jul 03 11:42:05 UTC 2025
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