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  1. fbeta_score — scikit-learn 1.6.1 documentation

    labels = None , pos_label = 1 , average = 'binary' , sample_weight...average = "macro" , zero_division = np . nan , beta = 0.5 ) 0.12......
    scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html
    Mon Apr 21 17:07:39 UTC 2025
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  2. Sample pipeline for text feature extraction and...

    data_train = fetch_20newsgroups ( subset = "train" , categories = categories...categories , shuffle = True , random_state = 42 , remove = ( "headers"...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html
    Mon Apr 21 17:07:39 UTC 2025
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  3. auc — scikit-learn 1.6.1 documentation

    metrics >>> y = np . array ([ 1 , 1 , 2 , 2 ]) >>> pred = np . array...thresholds = metrics . roc_curve ( y , pred , pos_label = 2 ) >>>...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html
    Mon Apr 21 17:07:39 UTC 2025
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  4. paired_distances — scikit-learn 1.6.1 documenta...

    paired_distances >>> X = [[ 0 , 1 ], [ 1 , 1 ]] >>> Y = [[ 0 , 1 ], [...paired_distances ( X , Y , * , metric = 'euclidean' , ** kwds ) [source]...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_distances.html
    Mon Apr 21 17:07:39 UTC 2025
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  5. precision_recall_fscore_support — scikit-learn ...

    beta = 1.0 , labels = None , pos_label = 1 , average = None ,...warn_for = ('precision', 'recall', 'f-score') , sample_weight = None...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html
    Mon Apr 21 17:07:39 UTC 2025
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  6. 12. Choosing the right estimator — scikit-learn...

    (kernel="linear") SVR(kernel="linea... NO NO SVR (kernel="rbf")...(kernel="rbf") SVR(kernel="rbf... Ensemble Regressors Ensemble... regression...
    scikit-learn.org/stable/machine_learning_map.html
    Mon Apr 21 17:07:39 UTC 2025
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  7. Multilabel classification using a classifier ch...

    ) Y = Y == "TRUE" X_train , X_test , Y_train , Y_test = train_test_split..., Y = fetch_openml ( "yeast" , version = 4 , return_X_y = True...
    scikit-learn.org/stable/auto_examples/multioutput/plot_classifier_chain_yeast.html
    Mon Apr 21 17:07:39 UTC 2025
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  8. LatentDirichletAllocation — scikit-learn 1.6.1 ...

    max_doc_update_iter = 100 , n_jobs = None , verbose = 0 , random_state = None...n_components = 10 , * , doc_topic_prior = None , topic_word_prior = None...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html
    Mon Apr 21 17:07:40 UTC 2025
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  9. Lasso model selection: AIC-BIC / cross-validati...

    y = load_diabetes ( return_X_y = True , as_frame = True )...x_min = x . min () return [ "font-weight: bold" if v == x_min...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_model_selection.html
    Mon Apr 21 17:07:39 UTC 2025
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  10. Column Transformer with Heterogeneous Data Sour...

    random_state = 1 , subset = "train" , categories = categories ,...y_test = fetch_20newsgroups ( random_state = 1 , subset = "test"...
    scikit-learn.org/stable/auto_examples/compose/plot_column_transformer.html
    Mon Apr 21 17:07:38 UTC 2025
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