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  1. Installing scikit-learn — scikit-learn 1.7.2 do...

    Scikit-learn 1.0 supported Python 3.7—3.10. Scikit-learn 1.1, 1.2 and...and 1.3 supported Python 3.8—3.12. Scikit-learn 1.4 and 1.5 supported...
    scikit-learn.org/stable/install.html
    Tue Nov 04 06:34:51 UTC 2025
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  2. SVM Tie Breaking Example — scikit-learn 1.7.2 d...

    1 ] . min (), X [:, 1 ] . max ()] xs = np...xlim [ 1 ], 1000 ) ys = np . linspace ( ylim [ 0 ], ylim [ 1 ], 1000...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html
    Tue Nov 04 06:34:51 UTC 2025
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  3. RANSACRegressor — scikit-learn 1.7.2 documentation

    min_samples int (>= 1) or float ([0, 1]), default=None Minimum...min_samples is chosen as X.shape[1] + 1 . This parameter is highly...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html
    Tue Nov 04 06:34:51 UTC 2025
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  4. inplace_column_scale — scikit-learn 1.7.2 docum...

    1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...csr . todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0,...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html
    Sat Nov 01 09:15:33 UTC 2025
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  5. RegressorMixin — scikit-learn 1.7.2 documentation

    array ([ - 1 , 0 , 1 ]) >>> estimator . fit ( X...__init__ ( self , * , param = 1 ): ... self . param = param ......
    scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html
    Tue Nov 04 06:34:51 UTC 2025
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  6. Agglomerative clustering with different metrics...

    1 , 1 ]) for l , color , n in zip...figure () plt . axes ([ 0 , 0 , 1 , 1 ]) for l , color in zip ( np...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html
    Tue Nov 04 06:34:50 UTC 2025
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  7. Evaluation of outlier detection estimators — sc...

    in pandas 1.5.1 were mapped to np.nan in pandas 2.0.1 X [ "Misc_Feature"...n_neighbors_list ) - 1 ), chance_level_kw = { "linestyle" : ( 0 , ( 1 , 10 ))},...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_outlier_detection_bench.html
    Tue Nov 04 06:34:51 UTC 2025
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  8. ClassifierChain — scikit-learn 1.7.2 documentation

    X_test ) array([[1., 1., 0.], [1., 0., 0.], [0., 1., 0.]]) >>> chain...order = [ 0 , 1 , 2 , ... , Y . shape [ 1 ] - 1 ] The order of...
    scikit-learn.org/stable/modules/generated/sklearn.multioutput.ClassifierChain.html
    Tue Nov 04 06:34:51 UTC 2025
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  9. Understanding the decision tree structure — sci...

    node=1 is a leaf node with value=[[1. 0. 0.]]. node=2...min_samples_split 2 min_samples_leaf 1 min_weight_fraction_leaf 0.0 max_features...
    scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html
    Tue Nov 04 06:34:50 UTC 2025
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  10. DetCurveDisplay — scikit-learn 1.7.2 documentation

    y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html
    Tue Nov 04 06:34:51 UTC 2025
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