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Overview of multiclass training meta-estimators...
examples Nested versus non-nested cross-validation Nested versus..."DecisionTreeClassifi" : cv_results_tree [ "test_score" ], "OneVsOneClassifier"...scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html -
Precision-Recall — scikit-learn 1.7.1 documenta...
and test X_train , X_test , y_train , y_test = train_test_split...and test X_train , X_test , Y_train , Y_test = train_test_split...scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html -
PassiveAggressiveClassifier — scikit-learn 1.7....
classification of text documents Out-of-core classification of text documents...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html -
Compare cross decomposition methods — scikit-le...
) X_test_r , Y_test_r = cca . transform ( X_test , Y_test ) Total...Y_train ) X_test_r , Y_test_r = plsca . transform ( X_test , Y_test...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html -
Post-tuning the decision threshold for cost-sen...
]( est , X_test , y_test ), scoring [ "precision" ]( est , X_test..."fpr" ]( est , X_test , y_test ), scoring [ "tpr" ]( est , X_test...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
Lasso model selection: AIC-BIC / cross-validati...
a final evaluation on unseen test set only. Conclusion # In this...fold. This illustrates why nested-cross validation is a good...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_model_selection.html -
Prediction Latency — scikit-learn 1.7.1 documen...
X_test , y_train , y_test = train_test_split ( X ,..., X_test , y_test = generate_dataset ( n_train , n_test , n )...scikit-learn.org/stable/auto_examples/applications/plot_prediction_latency.html -
Prediction Intervals for Gradient Boosting Regr...
test datasets: X_train , X_test , y_train , y_test = train_test_split...( X_test , y_test , "b." , markersize = 10 , label = "Test observations"...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
Version 0.13 — scikit-learn 1.7.1 documentation
train_test_split being interpreted as a test by Yaroslav...Changed default test_size in cross_validation.train_test_split to None,...scikit-learn.org/stable/whats_new/v0.13.html -
MNIST classification using multinomial logistic...
X_test , y_train , y_test = train_test_split ( X ,...clf . score ( X_test , y_test ) # print('Best C % .4f' % clf.C_)...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html