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  1. rand_score — scikit-learn 1.8.0 documenta...

    of Classification 2, 193–218 (1985). . [ 2 ] Wikipedia: Simple...predicted and true clusterings [1] [2] . The raw RI score [3] is: RI...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html
    Mon Dec 22 11:58:29 GMT 2025
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  2. Simple 1D Kernel Density Estimation — sci...

    subplots ( 2 , 2 , sharex = True , sharey = True...1.05 ) axi . set_xlim ( - 2.9 , 2.9 ) ax [ 0 , 1 ] . set_title...
    scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html
    Mon Dec 22 11:58:31 GMT 2025
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  3. haversine_distances — scikit-learn 1.8.0 ...

    data must be 2. \[D(x, y) = 2\arcsin[\sqrt{\sin^2((x_{lat} - y_{lat})...y_{lat}) / 2) + \cos(x_{lat})\cos(y_{lat})\ sin^2((x_{lon} -...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.haversine_distances.html
    Mon Dec 22 11:58:31 GMT 2025
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  4. 1.6. Nearest Neighbors — scikit-learn 1.8...

    [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...
    scikit-learn.org/stable/modules/neighbors.html
    Mon Dec 22 11:58:29 GMT 2025
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  5. preprocessing.rst.txt

    2. , 1. , 0.1], [4.4, 2.2, 1.1, 0.1], [4.4, 2.2, 1.2, 0.1],...4.1, 6.7, 2.5], [7.7, 4.2, 6.7, 2.5], [7.9, 4.4, 6.9, 2.5]]) Thus...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Thu Dec 04 11:53:54 GMT 2025
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  6. Comparing different hierarchical linkage method...

    xlim ( - 2.5 , 2.5 ) plt . ylim ( - 2.5 , 2.5 ) plt . xticks...t; : 2 }), ( noisy_moons , { "n_clusters" : 2 }), (...
    scikit-learn.org/stable/auto_examples/cluster/plot_linkage_comparison.html
    Mon Dec 22 11:58:29 GMT 2025
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  7. ward_tree — scikit-learn 1.8.0 documentation

    s)^2 + \frac{|v|+|t|} {T}d(v,t)^2 - \frac{|v|} {T}d(s,t)^2}\]...array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html
    Mon Dec 22 11:58:31 GMT 2025
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  8. KNeighborsRegressor — scikit-learn 1.8.0 ...

    array([[2]])) As you can see, it returns [[0.5]], and [[2]], which...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html
    Mon Dec 22 11:58:31 GMT 2025
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  9. Adjustment for chance in clustering performance...

    linspace ( 2 , n_samples , 10 ) . astype ( int ) plt . figure ( 2 ) plots...n_clusters_range = np . linspace ( 2 , 100 , 10 ) . astype ( int )...
    scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html
    Mon Dec 22 11:58:31 GMT 2025
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  10. make_friedman1 — scikit-learn 1.8.0 docum...

    2 ] - 0.5 ) ** 2 + 10 * X [:, 3 ] + 5 *...in Friedman [1] and Breiman [2]. Inputs X are independent features...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html
    Mon Dec 22 11:58:31 GMT 2025
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