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  1. zero_one_loss — scikit-learn 1.5.2 documentation

    2 , 3 , 4 ] >>> y_true = [ 2 , 2 , 3 , 4 ] >>>...], [ 1 , 1 ]]), np . ones (( 2 , 2 ))) 0.5 On this page Show Source...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html
    Thu Sep 19 14:56:27 UTC 2024
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  2. grid_to_graph — scikit-learn 1.5.2 documentation

    'int64' with 2 stored elements and shape (2, 2)> Coords Values...= bool ) >>> mask [[ 1 , 2 ], [ 1 , 2 ], :] = True >>> graph =...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html
    Thu Sep 19 14:56:27 UTC 2024
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  3. Multi-dimensional scaling — scikit-learn 1.5.2 ...

    (( X_true ** 2 ) . sum ()) / np . sqrt (( pos ** 2 ) . sum ())...(( X_true ** 2 ) . sum ()) / np . sqrt (( npos ** 2 ) . sum ())...
    scikit-learn.org/stable/auto_examples/manifold/plot_mds.html
    Thu Sep 19 14:56:27 UTC 2024
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  4. Various Agglomerative Clustering on a 2D embedd...

    SpectralEmbedding ( n_components = 2 ) . fit_transform ( X ) print...
    scikit-learn.org/stable/auto_examples/cluster/plot_digits_linkage.html
    Thu Sep 19 14:56:27 UTC 2024
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  5. Feature Selection — scikit-learn 1.5.2 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 Sep 19 14:56:26 UTC 2024
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  6. Ensemble methods — scikit-learn 1.5.2 documenta...

    Examples concerning the sklearn.ensemble module. Categorical Feature Support in Gradient Boosting Combine predictors using stacking Comparing Random Forests and Histogram Gradient Boosting models C...
    scikit-learn.org/stable/auto_examples/ensemble/index.html
    Thu Sep 19 14:56:26 UTC 2024
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  7. Decision Trees — scikit-learn 1.5.2 documentation

    Examples concerning the sklearn.tree module. Decision Tree Regression Multi-output Decision Tree Regression Plot the decision surface of decision trees trained on the iris dataset Post pruning deci...
    scikit-learn.org/stable/auto_examples/tree/index.html
    Thu Sep 19 14:56:28 UTC 2024
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  8. Multioutput methods — scikit-learn 1.5.2 docume...

    Examples concerning the sklearn.multioutput module. Multilabel classification using a classifier chain
    scikit-learn.org/stable/auto_examples/multioutput/index.html
    Thu Sep 19 14:56:27 UTC 2024
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  9. Monotonic Constraints — scikit-learn 1.5.2 docu...

    This example illustrates the effect of monotonic constraints on a gradient boosting estimator. We build an artificial dataset where the target value is in general positively correlated with the fir...
    scikit-learn.org/stable/auto_examples/ensemble/plot_monotonic_constraints.html
    Thu Sep 19 14:56:28 UTC 2024
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  10. Multiclass methods — scikit-learn 1.5.2 documen...

    Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimators
    scikit-learn.org/stable/auto_examples/multiclass/index.html
    Thu Sep 19 14:56:26 UTC 2024
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