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  1. RegressorMixin — scikit-learn 1.8.0 documentation

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. QuantileRegressor — scikit-learn 1.8.0 document...

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. plot_kmeans_digits.rst.txt

    score compl completeness score v-meas V measure ARI adjusted Rand...init time inertia homo compl v-meas ARI AMI silhouette k-means++...
    scikit-learn.org/stable/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt
    Tue Mar 17 03:44:39 UTC 2026
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  4. Clustering text documents using k-means — sciki...

    assigned to the same clusters; V-measure, the harmonic mean of...labels , km . labels_ )) scores [ "V-measure" ] . append ( metrics...
    scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html
    Mon Mar 23 20:39:21 UTC 2026
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  5. completeness_score — scikit-learn 1.8.0 documen...

    v_measure_score V-Measure (NMI with arithmetic mean...Rosenberg and Julia Hirschberg, 2007. V-Measure: A conditional entropy-based...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.completeness_score.html
    Mon Mar 23 20:39:20 UTC 2026
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  6. clustering.rst.txt

    for :math:`V`: .. math:: H(V) = - \sum_{j=1}^{|V|}P'(j)\log(P'(j))...\text{NMI}(U, V) = \frac{\text{MI}(U, V)}{\text{mean}(H(U), H(V))} This...
    scikit-learn.org/stable/_sources/modules/clustering.rst.txt
    Tue Mar 17 03:44:39 UTC 2026
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  7. A demo of K-Means clustering on the handwritten...

    score compl completeness score v-meas V measure ARI adjusted Rand...\t inertia \t homo \t compl \t v-meas \t ARI \t AMI \t silhouette"...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html
    Mon Mar 23 20:39:21 UTC 2026
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  8. 2.3. Clustering — scikit-learn 1.8.0 documentation

    Likewise for \(V\) : \[H(V) = - \sum_{j=1}^{|V|}P'(j)\log(P'(j))\]...\[\text{NMI}(U, V) = \frac{\text{MI}(U, V)}{\text{mean}(H(U), H(V))}\] This...
    scikit-learn.org/stable/modules/clustering.html
    Mon Mar 23 20:39:21 UTC 2026
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  9. Demo of affinity propagation clustering algorit...

    labels )) print ( "V-measure: %0.3f " % metrics . v_measure_score...Homogeneity: 0.872 Completeness: 0.872 V-measure: 0.872 Adjusted Rand Index:...
    scikit-learn.org/stable/auto_examples/cluster/plot_affinity_propagation.html
    Mon Mar 23 20:39:22 UTC 2026
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  10. The Johnson-Lindenstrauss bound for embedding w...

    eps) \|u - v\|^2 < \|p(u) - p(v)\|^2 < (1 + eps) \|u - v\|^2\] Where...Where u and v are any rows taken from a dataset of shape (n_samples,...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html
    Mon Mar 23 20:39:21 UTC 2026
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