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  1. KBinsDiscretizer — scikit-learn 1.8.0 doc...

    Gallery examples: Time-related feature engineering Plot classification probability Vector Quantization Example Poisson regression and non-normal loss Tweedie regression on insurance claims Using KB...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html
    Mon Jan 12 10:07:41 GMT 2026
      153.7K bytes
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  2. train_test_split — scikit-learn 1.8.0 doc...

    Gallery examples: Image denoising using kernel PCA Faces recognition example using eigenfaces and SVMs Model Complexity Influence Prediction Latency Lagged features for time series forecasting Prob...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html
    Mon Jan 19 11:28:24 GMT 2026
      165.4K bytes
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  3. AdaBoostClassifier — scikit-learn 1.8.0 d...

    Gallery examples: Classifier comparison Multi-class AdaBoosted Decision Trees Two-class AdaBoost Plot the decision surfaces of ensembles of trees on the iris dataset
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html
    Mon Jan 19 11:28:24 GMT 2026
      157.5K bytes
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  4. ExtraTreesRegressor — scikit-learn 1.8.0 ...

    Gallery examples: Face completion with a multi-output estimators
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html
    Mon Jan 19 11:28:25 GMT 2026
      162.8K bytes
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  5. Calibration — scikit-learn 1.8.0 document...

    Examples illustrating the calibration of predicted probabilities of classifiers. Comparison of Calibration of Classifiers Probability Calibration curves Probability Calibration for 3-class classifi...
    scikit-learn.org/stable/auto_examples/calibration/index.html
    Mon Jan 19 11:28:23 GMT 2026
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  6. Miscellaneous — scikit-learn 1.8.0 docume...

    Miscellaneous and introductory examples for scikit-learn. Advanced Plotting With Partial Dependence Comparing anomaly detection algorithms for outlier detection on toy datasets Comparison of kernel...
    scikit-learn.org/stable/auto_examples/miscellaneous/index.html
    Mon Jan 19 11:28:23 GMT 2026
      81K bytes
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  7. BaseEstimator — scikit-learn 1.8.0 docume...

    Gallery examples: Inductive Clustering__sklearn_is_fitted__ as Developer API Metadata Routing Approximate nearest neighbors in TSNE
    scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html
    Mon Jan 19 11:28:23 GMT 2026
      118.6K bytes
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  8. TransformerMixin — scikit-learn 1.8.0 doc...

    Gallery examples: Metadata Routing Approximate nearest neighbors in TSNE
    scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html
    Mon Jan 19 11:28:23 GMT 2026
      117.2K bytes
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  9. DecisionTreeClassifier — scikit-learn 1.8...

    Gallery examples: Classifier comparison Multi-class AdaBoosted Decision Trees Two-class AdaBoost Plot the decision surfaces of ensembles of trees on the iris dataset Demonstration of multi-metric e...
    scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html
    Mon Jan 19 11:28:25 GMT 2026
      173.2K bytes
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  10. LogisticRegressionCV — scikit-learn 1.8.0...

    Gallery examples: Comparison of Calibration of Classifiers Importance of Feature Scaling
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html
    Mon Jan 19 11:28:23 GMT 2026
      172K bytes
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