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AdaBoostClassifier — scikit-learn 1.7.1 documen...
score ( X , y ) 0.96 For a detailed...converted to CSR. Returns : score ndarray of shape of (n_samples,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
grid_search.rst.txt
and - a :ref:`score function <gridsearch_scoring>`. Two generic...accuracy score is often uninformative), see :ref:`which_scoring_function`...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
Adjustment for chance in clustering performance...
( score_name , score_func ) in zip ( "d^vx.," , score_funcs...): scores = fixed_classes_uniform_labelings_scores ( score_func...scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html -
OutputCodeClassifier — scikit-learn 1.7.1 docum...
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.multiclass.OutputCodeClassifier.html -
RFE — scikit-learn 1.7.1 documentation
score ( X , y , ** score_params ) [source]...more details. Returns : score float Score of the underlying base...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
SelectFpr — scikit-learn 1.7.1 documentation
Attributes : scores_ array-like of shape (n_features,) Scores of features....sklearn.feature_selection. SelectFpr ( score_func=<function f_classif> ,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
Permutation Importance vs Random Forest Feature...
0 bootstrap True oob_score False n_jobs None random_state..."RF train accuracy: { rf . score ( X_train , y_train ) : .3f...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html -
ElasticNetCV — scikit-learn 1.7.1 documentation
Notes The \(R^2\) score used when calling score on a regressor uses...default value of r2_score . This influences the score method of all...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
Semi-supervised Classification on a Text Datase...
"Micro-averaged F1 score on test set: %0.3f " % f1_score ( y_test , y_pred...training set: 0 Micro-averaged F1 score on test set: 0.885 ----------...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html -
Effect of varying threshold for self-training —...
predict ( X_test ) scores [ i , fold ] = accuracy_score ( y_test_true...x_values , scores . mean ( axis = 1 ), yerr = scores . std ( axis...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html