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sklearn.base.RegressorMixin — scikit-learn 1.4....
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html -
sklearn.linear_model.PassiveAggressiveClassifie...
classification of text documents Out-of-core classification of text documents...the mean accuracy on the given test data and labels. set_fit_request...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html -
sklearn.feature_selection.SequentialFeatureSele...
evaluate the predictions on the test set. NOTE that when using a...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html -
sklearn.ensemble.HistGradientBoostingClassifier...
the mean accuracy on the given test data and labels. set_fit_request...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
sklearn.svm.LinearSVC — scikit-learn 1.4.2 docu...
vs the rest. It is possible to implement one vs the rest with SVC...the mean accuracy on the given test data and labels. set_fit_request...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
sklearn.linear_model.LassoLarsCV — scikit-learn...
test) splits as arrays of indices....shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html -
sklearn.mixture.BayesianGaussianMixture — sciki...
log-likelihood of new samples at test time. The shape depends on covariance_type...log-likelihood of new samples at test time. The shape depends on covariance_type...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
sklearn.linear_model.Perceptron — scikit-learn ...
classification of text documents Out-of-core classification of text documents...the mean accuracy on the given test data and labels. set_fit_request...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html -
sklearn.mixture.GaussianMixture — scikit-learn ...
log-likelihood of new samples at test time. The shape depends on covariance_type...log-likelihood of new samples at test time. The shape depends on covariance_type...scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html -
sklearn.model_selection.RandomizedSearchCV — sc...
the attributes best_index_ , best_score_ and best_params_ will...param_gamma split0_test_score … rank_test_score ‘rbf’ 0.1 0.80...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
sklearn.ensemble.ExtraTreesClassifier — scikit-...
max_leaf_nodes in best-first fashion. Best nodes are defined...the mean accuracy on the given test data and labels. set_fit_request...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html -
1.17. Neural network models (supervised) — scik...
transformation to test data >>> X_test = scaler . transform ( X_test ) An...apply the same scaling to the test set for meaningful results....scikit-learn.org/stable/modules/neural_networks_supervised.html -
plot_release_highlights_1_4_0.ipynb
X_test, y_train, y_test = train_test_split(X_adult,...(X_test)\nprint(f\"ROC AUC score is {roc_auc_score(y_test, y_decision)}\")"...scikit-learn.org/stable/_downloads/53490cdb42c3c07ba8cccd1c4ed4dca4/plot_release_highlights_1_4_0... -
sklearn.ensemble.RandomForestClassifier — sciki...
max_leaf_nodes in best-first fashion. Best nodes are defined...the mean accuracy on the given test data and labels. set_fit_request...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html -
7.4. Loading other datasets — scikit-learn 1.4....
X_test , y_test = load_svmlight_files (...number of features: >>> X_test , y_test = load_svmlight_file ( ......scikit-learn.org/stable/datasets/loading_other_datasets.html -
sklearn.linear_model.OrthogonalMatchingPursuit ...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html -
faq.rst.txt
:ref:`text_feature_extraction` for the built-in *text vectorizers*....^^^^^^^^^^ scikit-learn is regularly tested and maintained to work with...scikit-learn.org/stable/_sources/faq.rst.txt -
sklearn.svm.NuSVR — scikit-learn 1.4.2 document...
expected shape of X is (n_samples_test, n_samples_train). Returns :...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
1.5. Stochastic Gradient Descent — scikit-learn...
SGDClassifier ()) est . fit ( X_train ) est . predict ( X_test ) If your...( X_train ) X_test = scaler . transform ( X_test ) # apply same...scikit-learn.org/stable/modules/sgd.html -
sklearn.covariance.MinCovDet — scikit-learn 1.4...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html