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  1. Demo of DBSCAN clustering algorithm — scikit-le...

    homogeneity_score ( labels_true , labels ) : .3f..."Completeness: { metrics . completeness_score ( labels_true , labels ) : .3f...
    scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html
    Thu Jul 03 11:42:05 UTC 2025
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  2. plot_hgbt_regression.py

    scoring=scorer) rmse = cv_results["test_score"] print(f"RMSE...cv=ts_cv, scoring=scorer) rmse = cv_results["test_score"] print(f"RMSE...
    scikit-learn.org/stable/_downloads/d108f2283ac3905eb623b32d42217a2b/plot_hgbt_regression.py
    Thu Jul 03 11:42:05 UTC 2025
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  3. Root cause analysis with logs: Elastic Observab...

    Elastic will provide a score for the anomaly. In this example,...we can see that there is a score of 96 for a specific anomaly...
    www.elastic.co/observability-labs/blog/reduce-mttd-ml-machine-learning-observability
    Thu Jul 03 19:45:18 UTC 2025
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  4. Release Highlights for scikit-learn 1.4 — sciki...

    print ( f "ROC AUC score is { roc_auc_score ( y_test , y_decision...hyperparameter_grid , cv = inner_cv , scoring = scoring_inner_cv , ) outer_cv...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html
    Thu Jul 03 11:42:05 UTC 2025
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  5. L1 Penalty and Sparsity in Logistic Regression ...

    69% Score with L1 penalty: 0.90 Score with Elastic-Net...penalty: 4.69% Score with L1 penalty: 0.90 Score with Elastic-Net...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. Non-negative least squares — scikit-learn 1.7.0...

    ( "NNLS R2 score" , r2_score_nnls ) NNLS R2 score 0.8225220806196525...print ( "OLS R2 score" , r2_score_ols ) OLS R2 score 0.7436926291700354...
    scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html
    Thu Jul 03 11:42:06 UTC 2025
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  7. getting_started.rst.txt

    >>> result['test_score'] # r_squared score is high because dataset...sets, and compute the accuracy score of a pipeline on the test data::...
    scikit-learn.org/stable/_sources/getting_started.rst.txt
    Thu Jul 03 11:42:05 UTC 2025
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  8. MultinomialNB — scikit-learn 1.7.0 documentation

    score ( X , y , sample_weight = None...default=None Sample weights. Returns : score float Mean accuracy of self.predict(X)...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html
    Thu Jul 03 11:42:05 UTC 2025
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  9. A demo of K-Means clustering on the handwritten...

    homo homogeneity score compl completeness score v-meas V measure...homogeneity_score , metrics . completeness_score , metrics ....
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. PoissonRegressor — scikit-learn 1.7.0 documenta...

    score ( X , y ) np.float64(0.990)...(n_samples,) Returns predicted values. score ( X , y , sample_weight = None...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html
    Thu Jul 03 11:42:06 UTC 2025
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