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  1. GroupKFold — scikit-learn 1.7.2 documenta...

    Fold 0: Train: index=[2 3], group=[2 2] Test: index=[0 1 4 5],...group=[0 0 3 3] Test: index=[2 3], group=[2 2] get_metadata_routing...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html
    Thu Dec 04 11:53:55 GMT 2025
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  2. make_blobs — scikit-learn 1.7.2 documenta...

    2) >>> y array([0, 1, 2, 0, 2, 2, 2, 1, 1, 0])...shape ) (10, 2) >>> y array([0, 0, 1, 0, 2, 2, 2, 1, 1, 0])...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html
    Thu Dec 04 11:53:53 GMT 2025
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  3. GroupShuffleSplit — scikit-learn 1.7.2 do...

    0: Train: index=[2 3 4 5 6 7], group=[2 2 2 3 3 3] Test: index=[0...3 3 3] Test: index=[2 3 4], group=[2 2 2] get_metadata_routing...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html
    Thu Dec 04 11:53:53 GMT 2025
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  4. VotingClassifier — scikit-learn 1.7.2 doc...

    [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html
    Thu Dec 04 11:53:54 GMT 2025
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  5. r2_score — scikit-learn 1.7.2 documentation

    = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2...= [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html
    Thu Dec 04 11:53:53 GMT 2025
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  6. Lasso — scikit-learn 1.7.2 documentation

    [ 2 , 2 ]], [ 0 , 1 , 2 ]) Lasso(alpha=0.1)...\(||y||_2^2 / n_{\text{samples}}\) . The target can be a 2-dimensional...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html
    Thu Dec 04 11:53:54 GMT 2025
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  7. LinearRegression — scikit-learn 1.7.2 doc...

    2 ], [ 2 , 2 ], [ 2 , 3 ]]) >>>...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
    Thu Dec 04 11:53:54 GMT 2025
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  8. TransformedTargetRegressor — scikit-learn...

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...The function needs to return a 2-dimensional array. inverse_func...
    scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html
    Thu Dec 04 11:53:55 GMT 2025
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  9. mean_absolute_percentage_error — scikit-l...

    2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>..., 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 , 8....
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html
    Thu Dec 04 11:53:53 GMT 2025
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  10. cluster_optics_dbscan — scikit-learn 1.7....

    2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8... ( ... X , ... min_samples = 2 , ... max_eps = np . inf , ......
    scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html
    Thu Dec 04 11:53:55 GMT 2025
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