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sklearn.model_selection.LearningCurveDisplay — ...
test_scores = test_scores , score_name =...train_sizes , train_scores , test_scores , score_name = None )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
getting_started.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...scikit-learn.org/stable/_sources/getting_started.rst.txt -
sklearn.dummy.DummyClassifier — scikit-learn 1....
n_features) Test samples. Passing None as test samples gives...(X) Perform classification on test vectors X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
plot_classifier_comparison.py
and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
sklearn.neighbors.KNeighborsClassifier — scikit...
probability estimates for the test data X. score (X, y[, sample_weight])...the mean accuracy on the given test data and labels. set_params...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html -
sklearn.model_selection.StratifiedGroupKFold — ...
print ( f " Test: index= { test_index } " ) ... print...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
sklearn.multiclass.OutputCodeClassifier — sciki...
the mean accuracy on the given test data and labels. set_params...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html -
sklearn.base.ClassifierMixin — scikit-learn 1.4...
the mean accuracy on the given test data and labels. score ( X ,...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html -
sklearn.ensemble.AdaBoostClassifier — scikit-le...
achieving a lower test error with fewer boosting iterations....the mean accuracy on the given test data and labels. set_fit_request...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
sklearn.calibration.CalibratedClassifierCV — sc...
and calibrates it using the testing subset. For prediction, predicted...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
sklearn.svm.SVC — scikit-learn 1.4.2 documentation
cross-validation Nested versus non-nested cross-validation Nested versus...following example: Nested versus non-nested cross-validation Read...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
sklearn.feature_selection.f_regression — scikit...
Comparison of F-test and mutual information Comparison of F-test and mutual...Univariate linear regression tests returning F-statistic and p-values....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
sklearn.datasets.fetch_20newsgroups — scikit-le...
‘test’ for the test set, ‘all’ for both,...on a Text Dataset Semi-supervised Classification on a Text Dataset...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html -
plot_multi_metric_evaluation.py
1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...etc...) The ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
Get started with generative AI free | Elastic
Test out ingesting your data, build...Configure, select field mappings, and test vector and semantic search with...www.elastic.co/cloud/generative-ai-trial-overview -
sklearn.naive_bayes.ComplementNB — scikit-learn...
classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
6.3. Preprocessing data — scikit-learn 1.4.2 do...
X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test ) # apply scaling on testing data, without...scikit-learn.org/stable/modules/preprocessing.html -
3.1. Cross-validation: evaluating estimator per...
available data as a test set X_test, y_test . Note that the word...X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/cross_validation.html -
feature_selection.rst.txt
the best features based on univariate statistical tests. It can...we can use a F-test to retrieve the two best features for a dataset...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
sklearn.preprocessing.minmax_scale — scikit-lea...
splitting into training and test sets. This will bias the model...information would have leaked from the test set to the training set. In...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html