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precision_recall_curve — scikit-learn 1.6.1 doc...
y_score array-like of shape (n_samples,) Target scores, can...average_precision_score Compute average precision from prediction scores. det_curve...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html -
zero_one_loss — scikit-learn 1.6.1 documentation
also accuracy_score Compute the accuracy score. By default, the...jaccard_score Compute the Jaccard similarity coefficient score. Notes...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html -
3.1. Cross-validation: evaluating estimator per...
scoring = scoring , ... cv = 5 , return_train_score = True...random_state = 42 ) >>> scores = cross_val_score ( clf , X , y , cv...scikit-learn.org/stable/modules/cross_validation.html -
precision_recall_fscore_support — scikit-learn ...
F-beta score reaches its best value at 1 and worst score at 0....[n_unique_labels] Recall score. fbeta_score float (if average is...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html -
SVC — scikit-learn 1.6.1 documentation
(n_classes * (n_classes - 1) / 2) 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.svm.SVC.html -
Gradient Boosting Out-of-Bag estimates — scikit...
deviance scores on ``X_test`` and ``y_test``.""" score = np . zeros...y_train [ train ]) val_scores += heldout_score ( cv_clf , X_train...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Release Highlights for scikit-learn 1.3 — sciki...
score_type = "both" , score_name = "Accuracy"...sklearn.metrics import v_measure_score X , true_labels = load_digits...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html -
CategoricalNB — scikit-learn 1.6.1 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.CategoricalNB.html -
Explicit feature map approximation for RBF kern...
nystroem_scores . append ( nystroem_score ) fourier_scores . append...targets_train ) kernel_svm_score = kernel_svm . score ( data_test , targets_test...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html -
SelectKBest — scikit-learn 1.6.1 documentation
feature scores, None if score_func returned only scores. n_features_in_...arrays (scores, pvalues) or a single array with scores. Default...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html