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Comparing Random Forests and Histogram Gradient...
significant improvement of the testing score. Plot results # We can...elapsed computing time and mean test score. Passing the cursor over...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html -
Comparison of kernel ridge regression and SVR —...
train_time = [] test_time = [] for train_test_size in sizes :...fit ( X [: train_test_size ], y [: train_test_size ]) train_time...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
10. Common pitfalls and recommended practices —...
X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/common_pitfalls.html -
CCA — scikit-learn 1.5.0 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.cross_decomposition.CCA.html -
Time-related feature engineering — scikit-learn...
test_0 = all_splits [ 0 ] X . iloc [ test_0 ] season...train_4 , test_4 = all_splits [ 4 ] X . iloc [ test_4 ] season...scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html -
PredefinedSplit — scikit-learn 1.5.0 documentation
Provides train/test indices to split data into train/test sets using...The entry test_fold[i] represents the index of the test set that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
Introducing the set_output API — scikit-learn 1...
X_test , y_train , y_test = train_test_split ( X ,...X_train ) X_test_scaled = scaler . transform ( X_test ) X_test_scaled...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
Multiclass sparse logistic regression on 20newg...
X_test , y_train , y_test = train_test_split ( X ,...predict ( X_test ) accuracy = np . sum ( y_pred == y_test ) / y_test...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_20newsgroups.html -
Face completion with a multi-output estimators ...
randint ( test . shape [ 0 ], size = ( n_faces ,)) test = test [ face_ids...2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test = test...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
6.1. Pipelines and composite estimators — sciki...
X_test , y_train , y_test = train_test_split ( X ,...format ( regr . score ( X_test , y_test ))) R2 score: 0.61 >>> raw_target_regr...scikit-learn.org/stable/modules/compose.html -
LeavePGroupsOut — scikit-learn 1.5.0 documentation
f " Test: index= { test_index } , group= { groups [ test_index...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
Underfitting vs. Overfitting — scikit-learn 1.5...
plot ( X_test , pipeline . predict ( X_test [:, np . newaxis..."Model" ) plt . plot ( X_test , true_fun ( X_test ), label = "True function"...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
Comparing Target Encoder with Other Encoders — ...
"rmse_test_mean" : rmse_test_score . mean (), "rmse_test_std"...= True , ) rmse_test_score = - result [ "test_score" ] rmse_train_score...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
LeaveOneOut — scikit-learn 1.5.0 documentation
Provides train/test indices to split data in train/test sets. Each..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html -
8.3. Parallelism, resource management, and conf...
sure that test results are independent of the test execution...run all tests with different seeds while keeping the test duration...scikit-learn.org/stable/computing/parallelism.html -
Post pruning decision trees with cost complexit...
X_test , y_train , y_test = train_test_split ( X ,...clfs ] test_scores = [ clf . score ( X_test , y_test ) for clf...scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.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 -
Visualizations with Display Objects — scikit-le...
X_test , y_train , y_test = train_test_split ( X ,...predict ( X_test ) cm = confusion_matrix ( y_test , y_pred ) cm_display...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html -
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 -
load_svmlight_files — scikit-learn 1.5.0 docume...
target_test X_train , y_train , X_test , y_test = get_data ()...matrix X_test, it is essential that X_train and X_test have the...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_files.html