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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 -
plot_hgbt_regression.py
import train_test_split X_train, X_test, y_train, y_test = train_test_split(X,...train_test_split(X, y, test_size=0.4, shuffle=False) print(f"Training...scikit-learn.org/stable/_downloads/d108f2283ac3905eb623b32d42217a2b/plot_hgbt_regression.py -
ValidationCurveDisplay — scikit-learn 1.7.0 doc...
test_scores = test_scores , score_name =...param_range , train_scores , test_scores , score_name = None )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.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 -
load_svmlight_files — scikit-learn 1.7.0 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 -
Decision Tree Regression — scikit-learn 1.7.0 d...
Get predictions on the test set X_test = np . arange ( 0.0 , 5.0...predict ( X_test ) y_2 = regr_2 . predict ( X_test ) Plot the...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html -
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 -
Release Highlights for scikit-learn 1.5 — sciki...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( classifier_05 , X_test , y_test ) Lowering the threshold,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
preprocessing.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=42)...pipe.score(X_test, y_test) # apply scaling on testing data, without...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
Comparing various online solvers — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...( X_test ) yy_ . append ( 1 - np . mean ( y_pred == y_test ))...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html