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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 -
MultiTaskLasso — scikit-learn 1.6.0 documentation
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.MultiTaskLasso.html -
Overview of multiclass training meta-estimators...
probability 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 -
OneVsOneClassifier — scikit-learn 1.6.0 documen...
X_test , y_train , y_test = train_test_split ( ......sklearn.model_selection import train_test_split >>> from sklearn.multiclass...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
TunedThresholdClassifierCV — scikit-learn 1.6.0...
X_test , y_train , y_test = train_test_split ( ......classification_report ( y_test , classifier . predict ( X_test ))) precision...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.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 -
Gradient Boosting Out-of-Bag estimates — scikit...
-= test_score [ 0 ] test_best_iter = x [ np . argmin ( test_score...x = test_best_iter , color = test_color , linestyle = test_line...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Sample pipeline for text feature extraction and...
) data_test = fetch_20newsgroups ( subset = "test" , categories...vect__norm: l1 test_accuracy = random_search . score ( data_test . data...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.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 -
plot_multi_metric_evaluation.zip
1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...1)[0][0]\n best_score = results[\"mean_test_%s\" % scorer][best_index]\n\n...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip