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  1. DecisionTreeClassifier — scikit-learn 1.8.0 doc...

    Stone, “Classification and Regression...in the attribute classes_ . score ( X , y , sample_weight = None...
    scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html
    Mon Mar 23 20:39:20 UTC 2026
      22.3K bytes
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  2. Statistical comparison of models using grid sea...

    to provide a ``score`` function, or ``scoring`` must be passed....'kernel': ['poly']}, ...] scoring scoring: str, callable, list, tuple...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html
    Mon Mar 23 20:39:21 UTC 2026
      37.2K bytes
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  3. ermaster-b-eclipse-plugin.zip

    store=These files are stored in\r\n$workspac...dialog.message.translation.file.store=These files are stored in\r\n$workspac...
    dbflute.seasar.org/download/misc/friends/ermaster-b-eclipse-plugin.zip
    Thu May 28 16:23:56 UTC 2026
      4.7M bytes
     
  4. AI in financial services: Elastic for AI-powere...

    Read Priority's story Turning data into your strategic...supports predictive credit scoring, portfolio optimization, and...
    www.elastic.co/industries/financial-services
    Mon Jun 08 01:20:07 UTC 2026
      104.2K bytes
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  5. cross_validate — scikit-learn 1.8.0 documentation

    If scoring represents a single score, one can use:...criterion is used. If scoring represents multiple scores, one can use:...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html
    Mon Mar 23 20:39:20 UTC 2026
      18.8K bytes
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  6. 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
    Mon Mar 23 20:39:20 UTC 2026
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  7. Adjustment for chance in clustering performance...

    scores . mean ( axis = 1 ), scores . std ( axis..., np . median ( scores , axis = 1 ), scores . std ( axis = 1...
    scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html
    Mon Mar 23 20:39:21 UTC 2026
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  8. HistGradientBoostingClassifier — scikit-learn 1...

    Scores are computed according to the scoring parameter....parameter. If scoring is not ‘loss’, scores are computed on a subset...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. Plot the decision surfaces of ensembles of tree...

    95 score RandomForestClassifi () # 0.94 score AdaBoost...0.94 score DecisionTree ( max_depth = None ) # 0.94 score Increasing...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html
    Mon Mar 23 20:39:20 UTC 2026
      18.1K bytes
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  10. LogisticRegressionCV — scikit-learn 1.8.0 docum...

    scoring str or callable, default=None The scoring method...confidence scores for samples. The confidence score for a sample...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html
    Mon Mar 23 20:39:23 UTC 2026
      22.3K bytes
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